Academic literature on the topic 'Macro and small cells networks'

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Journal articles on the topic "Macro and small cells networks"

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Haider, Amir, and Seung-Hoon Hwang. "Maximum Transmit Power for UE in an LTE Small Cell Uplink." Electronics 8, no. 7 (2019): 796. http://dx.doi.org/10.3390/electronics8070796.

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To furnish the network with small cells, it is vital to consider parameters like cell size, interference in the network, and deployment strategies to maximize the network’s performance gains expected from small cells. With a small cell network, it is critical to analyze the impact of the uplink power control parameters on the network’s performance. In particular, the maximum transmit power (Pmax) for user equipment (UE) needs to be revisited for small cells, since it is a major contributor towards interference. In this work, the network performance was evaluated for different Pmax values for the small cell uplink. Various deployment scenarios for furnishing the existing macro layer in LTE networks with small cells were considered. The Pmax limit for a small cell uplink was evaluated for both homogenous small cell and heterogeneous networks (HetNet). The numerical results showed that it would be appropriate to adopt Pmax = 18 dBm in uniformly distributed small cells rather than Pmax = 23 dBm, as in macro environments. The choice of Pmax = 18 dBm was further validated for three HetNet deployment scenarios. A decrease of 0.52 dBm and an increase of 0.03 dBm and 3.29 dBm in the proposed Pmax = 18 dBm were observed for the three HetNet deployments, respectively. Furthermore, we propose that the fractional power control mode can be employed instead of the full compensation mode in small cell uplinks.
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Casaravilla, J. M., G. A. Dutra, N. Pignataro, and J. E. Acuna. "Propagation Model for Small Urban Macro Cells." IEEE Transactions on Vehicular Technology 58, no. 7 (2009): 3094–101. http://dx.doi.org/10.1109/tvt.2009.2015329.

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Kim, Wooseong. "Dual Connectivity in Heterogeneous Small Cell Networks with mmWave Backhauls." Mobile Information Systems 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/3983467.

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Ultradense Network (UDN) with small cells is a key feature to begin a new era of 5G communication, which provides higher data rate, and accommodate explosive mobile traffic. Recently, mmWave-based wireless backhauls accelerate deployment of the UDN by reducing cost of fiber-optic cabling to small cells. The small cells can deliver user data to macro enhanced NodeBs (eNBs) using multihop relay in wireless backhaul mesh that consists of small and macro cell eNBs connected by the mmWave links. For such a heterogeneous small cell network (HetNet), 3GPP introduced dual connectivity (i.e., dual connections to macro and small cell eNBs), which is an attractive standard feature to manage user mobility and network access in the small cells. In this paper, we exploit dual connectivity scheme in a HetNet with the mmWave-based backhaul mesh which introduces two main challenges for throughput maximization, multihop routing from small to macro cell, and selection of a small cell eNB for user equipment (UE). We establish an optimization model and find an optimal solution in terms of throughput and fairness using an IBM CPLEX solver. Additionally, we propose a heuristic algorithm for complexity reduction and compare it with the optimal results in evaluation.
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Shehata, Mohamed, Martin Kurras, Khaled Hassan, and Lars Thiele. "Hierarchical Precoding in a Realistic Ultradense Heterogeneous Environment Exceeding the Degrees of Freedom." International Journal of Antennas and Propagation 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/4796474.

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Cell densification is a widely used approach to increase the spectral efficiency per area of cellular networks. Such Ultradense Networks (UDNs) consisting of small cells are often coordinated by macro base stations (BSs). With universal frequency reuse interference from the macro BS limits the system spectral efficiency. In this work we exploit the degrees of freedom at the macro BS to apply interference coordination. We propose a hierarchical precoding strategy in the spatial domain in order to project interference from the macro BS into the subspace of small cell users enabling linear cancellation. The macro BS interference towards small cell users is aligned within the joint null space of users served by the macro BS. Compared to classical interference alignment, our scheme does not require coordination between macrocells and small cells. We present three algorithms: in the first the interference is minimized by iterative alignment, in the second the uncoordinated interference from the small cells is considered, and in the third iterative Minimum Mean Square Error (MMSE) technique is used. We provide numerical evaluation, complexity analysis, and robustness analysis of these algorithms based on a realistic channel model showing the benefit of hierarchical precoding compared to the uncoordinated case.
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Ratkóczy, Péter, and Attila Mitcsenkov. "Joint Dimensioning of Outdoor Heterogeneous Radio Access Networks (HetNet) using Monte Carlo Simulation." MACRo 2015 1, no. 1 (2015): 135–44. http://dx.doi.org/10.1515/macro-2015-0013.

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AbstractThe experienced mobile traffic increase in the recent years made traffic capacity the bottleneck instead of the coverage constraints, calling for significantly higher density of the base stations. Heterogeneous radio access networks (HetNet) provide a possible solution to this problem, combining various wireless technologies. In this paper we investigated the joint dimensioning of the co-existent radio access networks, the relation between the required macro and small cell densities to meet a certain traffic demand, and compared the two main, competing technological solutions, namely small cells and Wi-Fi, suitable to complement an LTE (macrocell) network.
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Qaddus, Ahmed, Shahzad Hassan, and Abid Ali Minhas. "An efficient radio frequency channel distribution in 5g heterogeneous cellular networks for avoiding cross-tier interference in macro and small cells." Electrical, Control and Communication Engineering 14, no. 1 (2018): 30–38. http://dx.doi.org/10.2478/ecce-2018-0004.

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AbstractRecently, the need for user data rate traffic has increased for running high-bandwidth applications. Therefore, the way forward lies in 5G heterogeneous cellular networks. The 5G network is comprised of two network hierarchies. As the first hierarchy, there are MBSs with large macro cells for macro users. As the second hierarchy, there are FBSs referred to as small cells for femto users. The 5G networks encourage the use of large macro and small cells for efficient utilisation and distribution of channel resources. In this study, the authors have proposed an efficient RF channel distribution mechanism on the basis of the current SINR levels of FUEs and MUEs. On the basis of the users’ present SINR levels, the channels will be allocated by the central MBS to MUEs and FUEs via FBSs. The major obstacle in RF channel allocation to FUEs and MUEs is cross-tier interference at the downlink channel at the MUEs and FUEs from the transmitted signals of MBSs and FBSs. In this study, an efficient RF channel allocation scheme is proposed on the basis of channel modelling constraints, which will minimise the cross-tier interference at the downlink channel at the MUEs and FUEs during RF channel allocation to FUEs and MUEs present in the same coverage area
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Hoffmann, H., P. Ramachandra, I. Z. Kovács, L. Jorguseski, F. Gunnarsson, and T. Kürner. "Potential of dynamic spectrum allocation in LTE macro networks." Advances in Radio Science 13 (November 3, 2015): 95–102. http://dx.doi.org/10.5194/ars-13-95-2015.

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Abstract. In recent years Mobile Network Operators (MNOs) worldwide are extensively deploying LTE networks in different spectrum bands and utilising different bandwidth configurations. Initially, the deployment is coverage oriented with macro cells using the lower LTE spectrum bands. As the offered traffic (i.e. the requested traffic from the users) increases the LTE deployment evolves with macro cells expanded with additional capacity boosting LTE carriers in higher frequency bands complemented with micro or small cells in traffic hotspot areas. For MNOs it is crucial to use the LTE spectrum assets, as well as the installed network infrastructure, in the most cost efficient way. The dynamic spectrum allocation (DSA) aims at (de)activating the available LTE frequency carriers according to the temporal and spatial traffic variations in order to increase the overall LTE system performance in terms of total network capacity by reducing the interference. This paper evaluates the DSA potential of achieving the envisaged performance improvement and identifying in which system and traffic conditions the DSA should be deployed. A self-optimised network (SON) DSA algorithm is also proposed and evaluated. The evaluations have been carried out in a hexagonal and a realistic site-specific urban macro layout assuming a central traffic hotspot area surrounded with an area of lower traffic with a total size of approximately 8 × 8 km2. The results show that up to 47 % and up to 40 % possible DSA gains are achievable with regards to the carried system load (i.e. used resources) for homogenous traffic distribution with hexagonal layout and for realistic site-specific urban macro layout, respectively. The SON DSA algorithm evaluation in a realistic site-specific urban macro cell deployment scenario including realistic non-uniform spatial traffic distribution shows insignificant cell throughput (i.e. served traffic) performance gains. Nevertheless, in the SON DSA investigations, a gain of up to 25 % has been observed when analysing the resource utilisation in the non-hotspot cells.
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Fadoul, Moubachir Madani. "Modeling multi-tier heterogeneous small cell networks: rate and coverage performance." Telecommunication Systems 75, no. 4 (2020): 369–82. http://dx.doi.org/10.1007/s11235-020-00680-y.

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Abstract The rapid growth of small cells is driving cellular network toward randomness and heterogeneity. The multi-tier heterogeneous network (HetNet) addresses the massive connectivity demands of the emerging cellular networks. Cellular networks are usually modeled by placing each tier (e.g macro, pico and relay nodes) deterministically on a grid which ignores the spatial randomness of the nodes. Several works were idealized for not capturing the interference which is a major performance bottleneck. Overcoming such limitation by realistic models is much appreciated. Multi-tier relay cellular network is studied in this paper, In particular, we consider $${\mathscr {K}}$$ K -tier transmission modeled by factorial moment and stochastic geometry and compare it with a single-tier, traditional grid model and multi-antenna ultra-dense network (UDN) model to obtain tractable rate coverage and coverage probability. The locations of the relays, base stations, and users nodes are modeled as a Poisson Point Process. The results showed that the proposed model outperforms the traditional multi-antenna UDN model and its accuracy is confirmed to be similar to the traditional grid model. The obtained results from the proposed and comparable models demonstrate the effectiveness and analytical tractability to study the HetNet performance.
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Alsharif, Mohammed H., Rosdiadee Nordin, Mohammed Mudhafer Shakir, and Athirah Mohd Ramly. "Small Cells Integration with the Macro-Cell Under LTE Cellular Networks and Potential Extension for 5G." Journal of Electrical Engineering & Technology 14, no. 6 (2019): 2455–65. http://dx.doi.org/10.1007/s42835-019-00173-2.

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Zhao, Wei, and Wen-Hsing Kuo. "Utility-Based Wireless Routing Algorithm for Massive MIMO Heterogeneous Networks." Applied Sciences 10, no. 20 (2020): 7261. http://dx.doi.org/10.3390/app10207261.

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With the development of 5G communication, massive multiple input multiple output (MIMO) technology is getting more and more attention. Massive MIMO uses a large amount of simultaneous transmitting and receiving antennas to reduce power consumption and raise the level of transmission quality. Meanwhile, the diversification of user equipment (UE) in the 5G environment also makes heterogeneous networks (HetNets) more prevalent. HetNets allow UE of different network standards to access small cells, while the base stations of small cells access a macro base station (BS) to form a multihop wireless heterogeneous backhaul network. However, how to effectively combine these two technologies by efficiently allocating the antennas of each BS during the route construction process of heterogeneous wireless backhaul networks is still an important issue that is yet to be solved. In this paper, we propose an algorithm called preallocated sequential routing (PSR). Based on the links’ channel conditions and the available antennas and location of BSs, it builds a wireless heterogeneous network backhaul topology and adjusts each link’s transmitting and receiving antennas to maximize total utility. Simulation results showed that the proposed algorithm significantly improved the overall utility and the utility of the outer area of heterogeneous networks.
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Dissertations / Theses on the topic "Macro and small cells networks"

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Al-Rubaye, Saba. "Radio network management in cognitive LTE-femtocell Systems." Thesis, Brunel University, 2013. http://bura.brunel.ac.uk/handle/2438/11827.

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There is a strong uptake of femtocell deployment as small cell application platforms in the upcoming LTE networks. In such two-tier networks of LTE-femtocell base stations, a large portion of the assigned spectrum is used sporadically leading to underutilisation of valuable frequency resources. Novel spectrum access techniques are necessary to solve these current spectrum inefficiency problems. Therefore, spectrum management solutions should have the features to improve spectrum access in both temporal and spatial manner. Cognitive Radio (CR) with the Dynamic Spectrum Access (DSA) is considered to be the key technology in this research in order to increase the spectrum efficiency. This is an effective solution to allow a group of Secondary Users (SUs) to share the radio spectrum initially allocated to the Primary User (PUs) at no interference. The core aim of this thesis is to develop new cognitive LTE-femtocell systems that offer a 4G vision, to facilitate the radio network management in order to increase the network capacity and further improve spectrum access probabilities. In this thesis, a new spectrum management model for cognitive radio networks is considered to enable a seamless integration of multi-access technology with existing networks. This involves the design of efficient resource allocation algorithms that are able to respond to the rapid changes in the dynamic wireless environment and primary users activities. Throughout this thesis a variety of network upgraded functions are developed using application simulation scenarios. Therefore, the proposed algorithms, mechanisms, methods, and system models are not restricted in the considered networks, but rather have a wider applicability to be used in other technologies. This thesis mainly investigates three aspects of research issues relating to the efficient management of cognitive networks: First, novel spectrum resource management modules are proposed to maximise the spectrum access by rapidly detecting the available transmission opportunities. Secondly, a developed pilot power controlling algorithm is introduced to minimise the power consumption by considering mobile position and application requirements. Also, there is investigation on the impact of deploying different numbers of femtocell base stations in LTE domain to identify the optimum cell size for future networks. Finally, a novel call admission control mechanism for mobility management is proposed to support seamless handover between LTE and femtocell domains. This is performed by assigning high speed mobile users to the LTE system to avoid unnecessary handovers. The proposed solutions were examined by simulation and numerical analysis to show the strength of cognitive femtocell deployment for the required applications. The results show that the new system design based on cognitive radio configuration enable an efficient resource management in terms of spectrum allocation, adaptive pilot power control, and mobile handover. The proposed framework and algorithms offer a novel spectrum management for self organised LTE-femtocell architecture. Eventually, this research shows that certain architectures fulfilling spectrum management requirements are implementable in practice and display good performance in dynamic wireless environments which recommends the consideration of CR systems in LTE and femtocell networks.
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Er-Rahmadi, Btissam. "Cooperation and self -* for small cells networks." Thesis, Rennes 1, 2016. http://www.theses.fr/2016REN1S060/document.

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La croissance phénoménale du trafic pousse les opérateurs mobiles à différencier leurs plans de tarification en se basant sur la bande passante consommée. Afin de maximiser la monétisation du trafic de données, les opérateurs devront envisager des approches plus intelligentes tout en améliorant leurs réseaux actuels ou en déployant de nouvelles infrastructures. Les Small Cells sont une partie intégrante des réseaux cellulaires matures 3G/4G et futurs 5G. Les Small Cells peuvent être de facto déployées dans des architectures hétérogènes pour la densification des réseaux macrocellulaires, ou de façon homogène pour une couverture en haut débit. Pour le deuxième cas de déploiement, de nouveaux défis doivent être résolus: un réseau de collecte fiable et économique est vital pour les déploiements des Small Cells. Le réseau de collecte est spécifiquement plus contraignant pour les déploiements des Small Cells dans les zones dites green-field, où les infrastructures de transport sont absentes ou présentes mais ne peuvent être contrôlées par l'opérateur. En d'autres termes, l'opérateur mobile souhaite garantir une bonne qualité d'accès aux services haut débit en se basant uniquement sur des Small Cells, tout en réduisant le coût global de l'installation. Dans cette thèse, nous nous focalisons sur des solutions de réseau de collecte rentables qui peuvent fournir les capacités minimales requises par les utilisateurs finaux. Notre première contribution vise à assurer une capacité suffisante aux réseaux Small Cells 4G. Tout d'abord, nous proposons une méthode rentable qui minimise les coûts du réseau de collecte tout en respectant les contraintes de : 1) demande de trafic dans le réseau d'accès, et de 2) caractéristiques technologiques des liens de collecte. Cette méthode permet d'obtenir des solutions sur mesure de réseau de collecte à coûts optimal pour un réseau d'accès donné, basé sur des Small Cells; ces solutions sont constituées de différentes technologies de liaison. Deuxièmement, nous analysons l'impact de l'activité des utilisateurs finaux sur le trafic généré à la fois sur les deux interfaces logiques S1 et X2 d'une Small Cell, tout en tenant compte les différentes composantes de trafic moyen d'un utilisateur final. Cette analyse permet d'avoir un aperçu très utile pour la sélection des solutions nécessaires au réseau de collecte. Dans notre deuxième contribution, nous nous focalisons sur l'amélioration des capacités des systèmes WLAN. Nous concevons un protocole d'ordonnancement MAC pour les transmissions uplink multi-utilisateurs : il permet un échange minimal des trames de contrôle requises pour la mise en place des transmissions entre les multiples émetteurs et le récepteur. Les résultats d'analyse et de simulations révèlent des performances améliorées, d'un point de vue du système et de l'utilisateur<br>The recent phenomenal traffic growth is driving mobile operators to tier their pricing plans based on consumed bandwidth. To maximize data traffic monetization, operators will need to consider smarter approaches while upgrading their current networks or deploying new ones. Small Cells are an integral part of both mature 3G/4G and future 5G cellular networks. Small Cells may be de facto deployed in heterogeneous architectures for Macro cells densification, or homogeneously for minimum broadband coverage. In this respect, emerging challenges must be tackled: a reliable and economical backhaul is vital for Small Cells deployments. It is specifically more constraining for Small Cells deployments in green-field areas, where transport infrastructure are absent or non-owned. In other words, the mobile operator wants to ensure good quality access to broadband services based only on Small Cells, while reducing overall installation cost. In this thesis, we focus on cost-efficient backhaul solutions that may provide the minimum capacities required by end users. Our first contribution targets the provisioning of 4G Small Cells networks with sufficient capacity. Firstly, we provide a cost-efficient method that minimizes backhaul cost while respecting the constraints of access network traffic demand and connecting technologies characteristics. This method provides with customized cost-optimal backhaul solutions for a given Small Cells access network; those solutions are made up of different linking technologies. Secondly, we analyze the impact of end users activity -i.e. data exchange- on generated traffic on both a Small Cell logical interfaces S1 and X2; by taking into account different traffic components of an end user device. The analysis supplies with valuable insights on selecting the needed backhaul solutions. In our second contribution, we focus on improving capacity in WLAN systems. We design a MAC scheduling scheme for uplink multi-users transmissions: it enables to exchange minimal control frames required for the establishment of transmissions between the multiple transmitters and the receiver. Both analytic results and conducted proof-of-concept simulations show improved efficiency for both system and user oriented performances
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Maso, Marco. "Flexible Cognitive Small-cells for Next Generation Two-tiered Networks." Phd thesis, Supélec, 2013. http://tel.archives-ouvertes.fr/tel-00822415.

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In the last decade, cellular networks have been characterized by an ever-growing user data demand. This caused increasing capacity shortfall and coverage issues, aggravated by inefficient fixed spectrum management policies and obsolete network structures. From a practical point of view, novel technical and architectural solutions have been proposed to frame next generation cellular networks, capable of meeting the identified target performance to satisfy the user data demands. Specifically, new spectrum management policies based on the so-called dynamic spectrum access (DSA), together with hierarchical approaches to network planning, where a tier of macro base stations is underlaid with a tier of massively deployed low-power small base stations, are seen as promising candidates to achieve this scope. The resulting two-tiered network layout may improve the capacity of current networks in several ways, thanks to a better average link quality between the devices, a more efficient usage of spectrum resources and a potentially higher spatial reuse. In this thesis, we focus on the challenging problem arising when the two tiers share the transmit band, to capitalize on the available spectrum and avoid possible inefficiencies. In this case, the coexistence of the two tiers is not feasible, if suitable interference management techniques are not designed to mitigate/cancel the mutual interference generated by the active transmitters in the network. This thesis is divided in three main parts, and proposes a rather exhaustive approach to the development of new DSA and interference management techniques, to go from the theoretical basis up to a proof-of-concept development.
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Ferragut, Martínez-Vara de Rey Jaime. "Traffic and mobility management in large-scale networks of small cells." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/279287.

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The growth in user demand for higher mobile data rates is driving Mobile Network Operators (MNOs) and network infrastructure vendors towards the adoption of innovative solutions in areas that span from physical layer techniques (e.g., carrier aggregation, massive MIMO, etc.) to the Radio Access Network and the Evolved Packet Core, amongst other. In terms of network capacity, out of a millionfold increase since 1957, the use of wider spectrum (25x increase), the division of spectrum into smaller resources (5x), and the introduction of advanced modulation and coding schemes (5x) have played a less significant role than the improvements in system capacity due to cell size reduction (1600x). This justifies the academic and industrial interest in short-range, low-power cellular base stations, such as small cells. The shift from traditional macrocell-based deployments towards heterogeneous cellular networks raises the need for new architectural and procedural frameworks capable of providing a seamless integration of massive deployments of small cells into the existing cellular network infrastructure. This is particularly challenging for large-scale, all-wireless networks of small cells (NoS), where connectivity amongst base stations is provided via a wireless multi-hop backhaul. Networks of small cells are a cost-effective solution for improving network coverage and capacity in high user-density scenarios, such as transportation hubs, sports venues, convention centres, dense urban areas, shopping malls, corporate premises, university campuses, theme parks, etc. This Ph.D. Thesis provides an answer to the following research question: What is the architectural and procedural framework needed to support efficient traffic and mobility management mechanisms in massive deployments of all-wireless 3GPP Long-Term Evolution networks of small cells? In order to do so, we address three key research challenges in NoS. First, we present a 3GPP network architecture capable of supporting large-scale, all-wireless NoS deployments in the Evolved Packet System. This involves delegating core network functions onto new functional entities in the network of small cells, as well as adapting Transport Network Layer functionalities to the characteristics of a NoS in order to support key cellular services. Secondly, we address the issue of local location management, i.e., determining the approximate location of a mobile terminal in the NoS upon arrival of an incoming connection from the core network. This entails the design, implementation, and evaluation of efficient paging and Tracking Area Update mechanisms that can keep track of mobile terminals in the complex scenario of an all-wireless NoS whilst mitigating the impact on signalling traffic throughout the local NoS domain and towards the core network. Finally, we deal with the issue of traffic management in large-scale networks of small cells. On the one hand, we propose new 3GPP network procedures to support direct unicast communication between LTE terminals camped on the same NoS with minimal involvement from functional entities in the Evolved Packet Core. On the other hand, we define a set of extensions to the standard 3GPP Multicast/Broadcast Multimedia Service (MBMS) in order to improve the quality of experience of multicast/broadcast traffic services in high user-density scenarios.<br>El crecimiento de la demanda de tasas de transmisión más altas está empujando a los operadores de redes móviles y a los fabricantes de equipos de red a la adopción de soluciones innovadoras en áreas que se extienden desde técnicas avanzadas de capa física (agregación de portadoras, esquemas MIMO masivos, etc.) hasta la red de acceso radio y troncal, entre otras. Desde 1957 la capacidad de las redes celulares se ha multiplicado por un millón. La utilización de mayor espectro radioeléctrico (incremento en factor 25), la división de dicho espectro en recursos más pequeños (factor 5) y la introducción de esquemas avanzados de modulación y codificación (factor 5) han desempeñado un papel menos significativo que las mejoras en la capacidad del sistema debidas a la reducción del tamaño de las celdas (factor 1600). Este hecho justifica el interés del mundo académico y de la industria en estaciones base de corto alcance y baja potencia, conocidas comúnmente como small cells. La transición de despliegues tradicionales de redes celulares basados en macroceldas hacia redes heterogéneas pone de manifiesto la necesidad de adoptar esquemas arquitecturales y de procedimientos capaces de proporcionar una integración transparente de despliegues masivos de small cells en la actual infraestructura de red celular. Este aspecto es particularmente complejo en el caso de despliegues a gran escala de redes inalámbricas de small cells (NoS, en sus siglas en inglés), donde la conectividad entre estaciones base se proporciona a través de una conexión troncal inalámbrica multi-salto. En general, las redes de small cells son una solución eficiente para mejorar la cobertura y la capacidad de la red celular en entornos de alta densidad de usuarios, como núcleos de transporte, sedes de eventos deportivos, palacios de congresos, áreas urbanas densas, centros comerciales, edificios corporativos, campus universitarios, parques temáticos, etc. El objetivo de esta Tesis de Doctorado es proporcionar una respuesta a la siguiente pregunta de investigación: ¿Cuál es el esquema arquitectural y de procedimientos de red necesario para soportar mecanismos eficientes de gestión de tráfico y movilidad en despliegues masivos de redes inalámbricas de small cells LTE? Para responder a esta pregunta nos centramos en tres desafíos clave en NoS. En primer lugar, presentamos una arquitectura de red 3GPP capaz de soportar despliegues a gran escala de redes inalámbricas de small cells en el Evolved Packet System, esto es, el sistema global de comunicaciones celulares LTE. Esto implica delegar funciones de red troncal en nuevas entidades funcionales desplegadas en la red de small cells, así como adaptar funcionalidades de la red de transporte a las características de una NoS para soportar servicios celulares clave. En segundo lugar, nos centramos en el problema de la gestión de movilidad local, es decir, determinar la localización aproximada de un terminal móvil en la NoS a la llegada de una solicitud de conexión desde la red troncal. Esto incluye el diseño, la implementación y la evaluación de mecanismos eficientes de paging y Tracking Area Update capaces de monitorizar terminales móviles en el complejo escenario de redes de small cells inalámbricas que, a la vez, mitiguen el impacto sobre el tráfico de señalización en el dominio local de la NoS y hacia la red troncal. Finalmente, estudiamos el problema de gestión de tráfico en despliegues a gran escala de redes inalámbricas de small cells. Por un lado, proponemos nuevos procedimientos de red 3GPP para soportar comunicaciones unicast directas entre terminales LTE registrados en la misma NoS con mínima intervención por parte de entidades funcionales en la red troncal. Por otro lado, definimos un conjunto de extensiones para mejorar la calidad de la experiencia del servicio estándar 3GPP de transmisión multicast/broadcast de tráfico multimedia (MBMS, en sus siglas en inglés) en entornos de alta densidad de usuarios.
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Ek, Patrik. "Deployment of Indoor Small-Cells for 4G mobile Broadband." Thesis, Uppsala universitet, Signaler och System, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-208569.

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This thesis presents an investigation of the impact of indoor small-cells. It is expected that small-cells will be able to increase the throughput and capacity for the existing networks. A deployment algorithm is presented with focus on offloading traffic from the macro layer. The performance of the deployments created with the proposed algorithm, is compared with a reference deployment. The different deployments are then simulated in a real network simulator, which performs static simulations in 3 dimension using the theory of multiple knife-edge diffraction. The small-cells increased the throughput and capacity remarkably and additional gains were obtained with the proposed algorithm. The thesis also includes strategies for small-cell deployment.
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Sachse, Christoph. "Metal Nanowire Networks as Transparent Electrode for Small-Molecule Organic Solar Cells." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-160057.

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This work focuses on the development of metal nanowire networks for the use as transparent electrodes in small-molecule organic solar cells. Broad adoption of organic solar cells requires inexpensive roll-to-roll processing on flexible, lightweight substrates. Under these conditions, traditional metal oxide electrodes suffer from significant drawbacks such as brittleness and cost. In contrast, metal nanowire networks provide properties more suitable for high-throughput processing and thus, are investigated here as an alternative. They combine the high-conductivity of metals with the advantage of optical transparency found in aperture-structured networks. The process chain from nanowire deposition to cell integration is examined with silver and copper nanowire material. Two techniques are presented for deposition. While dip-coating is investigated in detail, including a discussion of the most important parameters, spray-coating is demonstrated as an alternative for large area applications. Since the nanowires are barely conductive after deposition, post-treatment steps are used to achieve a performance comparable to standard metal oxide films such as tin-doped indium oxide (ITO). The inherent roughness of nanowire electrodes is addressed by using a conductive polymer as a planarization layer. On top of optimized electrodes, small-molecule organic solar cells are deposited with a UHV thermal evaporation process. Completed cells are tested and performance is found to be comparable to the used standard transparent electrodes. Additionally, a new approach to achieve aligned nanowire network structures is demonstrated. The additional degree of order is used to illustrate optical effects of silver nanowire networks. Furthermore, these aligned networks exhibit anisotropic conductivity. This effect is discussed and simulations are performed to reproduce the observations. The freedom of network design is used to achieve superior conductivity compared to standard random structures<br>Im Fokus dieser Arbeit steht die Entwicklung von Metall-Nanodraht-Netzwerken für die Anwendung in transparenten Elektroden für organische Solarzellen. Eine breite Verwendung von organischen Solarzellen setzt eine kostengünstige Rolle-zu-Rolle Fertigung auf flexiblen und leichten Substraten voraus. Unter diesen Bedingungen leiden traditionell verwendete Metalloxid-Elektroden unter erheblichen Nachteilen, wie Brüchigkeit und Preis. Im Gegensatz dazu zeigen Metall-Nanodraht-Netzwerke deutlich bessere Eigenschaften und werden deshalb hier als alternative Elektroden untersucht. Die Netzwerke kombinieren die hohe Leitfähigkeit von Metallen mit einer hohen Transmittivität in Folge der netzwerkbedingten Apertur. Die Prozesskette von der Nanodraht-Abscheidung bis zur Zellintegration wird für Silber- und Kupferdrähte untersucht. Zwei Techniken für die Abscheidung werden präsentiert. Ein Tauchverfahren wird detailliert untersucht und die zugehörigen Parameter werden diskutiert. Für große Flächen wird eine Sprühbeschichtung als Alternative aufgezeigt. Da die abgeschiedenen Netzwerke eine schlechte Leitfähigkeit besitzen, sind Nachprozessierungsschritte notwendig um gute Leitfähigkeiten im Bereich von üblichen Elektroden wie Indium-Zinn-Oxid (ITO) zu erreichen. Die Rauheit der Nanodraht-Elektrode wird mit Hilfe einer glättenden Polymerschicht behoben. Auf den optimierten Elektroden werden organische Solarzellen aus kleinen Molekülen in einem thermischen UHV-Prozess abgeschieden. Die Zellen werden getestet und zeigen Eigenschaften vergleichbar zu üblichen transparenten Elektroden. Zusätzlich wird ein neuer Ansatz zur Herstellung von ausgerichteten Netzwerkstrukturen demonstriert. Der zusätzliche Grad an Ordnung wird für die Untersuchung von optischen Effekten an Silberdraht-Netzwerken genutzt. Weiterhin zeigen diese ausgerichteten Netzwerke eine anisotrope Leitfähigkeit. Dieser Effekt wird diskutiert und Simulationen werden durchgeführt, um die Beobachtungen zu verifizieren. Die Freiheit in der Netzwerkstruktur wird für eine Verbesserung der Leitfähigkeit genutzt
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Hasan, Cengis. "Optimization of resource allocation in small cells networks : A green networking approach." Phd thesis, INSA de Lyon, 2013. http://tel.archives-ouvertes.fr/tel-01015735.

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The term "green networking" refers to energy-efficient networking technologies and products, while minimizing resource usage as possible. This thesis targets the problem of resource allocation in small cells networks in a green networking context. We develop algorithms for different paradigms. We exploit the framework of coalitional games theory and some stochastic geometric tools as well as the crowding game model. We first study the mobile assignment problem in broadcast transmission where minimal total power consumption is sought. A green-aware approach is followed in our algorithms. We examine the coalitional game aspects of the mobile assignment problem. This game has an incentive to form grand coalition where all players join to the game. By using Bondareva-Shapley theorem, we prove that this coalitional game has a non-empty core which means that the grand coalition is stable. Then, we examine the cost allocation policy for different methods. In a second part, we analyze a significant problem in green networking called switching off base stations in case of cooperating service providers by means of stochastic geometric and coalitional game tools. The coalitional game herein considered is played by service providers who cooperate in switching off base stations. We observed the Nash stability which is a concept in hedonic coalition formation games. We ask the following question: Is there any utility allocation method which could result in a Nash-stable partition? We address this issue in the thesis. We propose the definition of the Nash-stable core which is the set of all possible utility allocation methods resulting in stable partitions obtained according to Nash stability. We finally consider games related to the association of mobiles to an access point. The player is the mobile which has to decide to which access point to connect. We consider the choice between two access points or more, where the access decisions may depend on the number of mobiles connected to each access points. We obtained new results using elementary tools from congestion and crowding games. Last but not least, we extend our work to cooperative transmissions. We formulate the partner selection problem in cooperative relaying based on a matching theoretic approach. Partner selection is described as a special stable roommate problem where each player ranks its partners by some criterion. We adapted Irving's algorithm for determining the partner of each player. We introduced a decentralized version of the Irving's algorithm.
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Pinto, Rengifo Ricardo Alberto. "Quantum breathers in small networks: Dynamics, tunneling, correlations, and application to Josephson cells." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2008. http://nbn-resolving.de/urn:nbn:de:bsz:14-ds-1216216146408-01075.

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We address the excitation of quantum breathers in small nonlinear networks of two and three degrees of freedom, in order to study their properties. The invariance under permutation of two sites of these networks substitutes the translation invariance that is present in nonlinear lattices, where (classical) discrete breathers are time periodic space localized solutions of the underlying classical equations of motion. We do a systematic analysis of the spectrum and eigenstates of such small systems, characterizing quantum breather states by their tunnelling rate (energy splitting), site correlations, fluctuations of the number of quanta, and entanglement. We observe how these properties are reflected in the time evolution of initially localized excitations. Quantum breathers manifest as pairs of nearly degenerate eigenstates that show strong site correlation of quanta, and are characterized by a strong excitation of quanta on one site of the network which perform slow coherent tunnelling motion from one site to another. They enhance the fluctuations of quanta, and are the least entangled states among the group of eigenstates in the same range of the energy spectrum. We use our analysis methods to consider the excitation of quantum breathers in a cell of two coupled Josephson junctions, and study their properties as compared with those in the previous cases. We describe how quantum breathers could be experimentally observed by employing the already developed techniques for quantum information processing with Josephson junctions.
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Fang, Cheng. "The characterisation and modelling of the wireless propagation channel in small cells scenarios." Thesis, University of Bedfordshire, 2015. http://hdl.handle.net/10547/595693.

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The rapid growth in wireless data traffic in recent years has placed a great strain on the wireless spectrum and the capacity of current wireless networks. In addition, the makeup of the typical wireless propagation environment is rapidly changing as a greater percentage of data traffic moves indoors, where the coverage of radio signals is poor. This dual fronted assault on coverage and capacity has meant that the tradition cellular model is no longer sustainable, as the gains from constructing new macrocells falls short of the increasing cost. The key emerging concept that can solve the aforementioned challenges is smaller base stations such as micro-, pico- and femto-cells collectively known as small cells. However with this solution come new challenges: while small cells are efficient at improving the indoor coverage and capacity; they compound the lack of spectrum even more and cause high levels of interference. Current channel models are not suited to characterise this interference as the small cells propagation environment is vast different. The result is that overall efficiency of the networks suffers. This thesis presents an investigation into the characteristics of the wireless propagation channel in small cell environments, including measurement, analysis, modelling, validation and extraction of channel data. Two comprehensive data collection campaigns were carried out, one of them employed a RUSK channel sounder and featured dual-polarised MIMO antennas. From the first dataset an empirical path loss model, adapted to typical indoor and outdoor scenarios found in small cell environments, was constructed using regression analysis and was validated using the second dataset. The model shows good accuracy for small cell environments and can be implemented in system level simulations quickly without much requirements.
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Lu, Zhixue. "DEPLOYMENT, MANAGEMENT, AND ACCESS ACQUISITION OF SMALL-CELL BASED NETWORKS." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1397763112.

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Books on the topic "Macro and small cells networks"

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5G Radio Access Networks: Centralized RAN, Cloud-RAN and Virtualization of Small Cells. Taylor & Francis Group, 2017.

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Jef ferys, John G. R. Cortical activity: single cell, cell assemblages, and networks. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199688395.003.0004.

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This chapter describes how the activity of neurons produces electrical potentials that can be recorded at the levels of single cells, small groups of neurons, and larger neuronal networks. It outlines how the movement of ions across neuronal membranes produces action potentials and synaptic potentials. It considers how the spatial arrangement of specific ion channels on the neuronal surface can produce potentials that can be recorded from the extracellular space. Finally, it outlines how the layered cellular structure of the neocortex can result in summation of signals from many neurons to be large enough to record through the scalp as evoked potentials or the electroencephalogram.
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Miquerol, Lucile. Origin and development of the cardiac conduction system. Edited by José Maria Pérez-Pomares, Robert G. Kelly, Maurice van den Hoff, et al. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198757269.003.0015.

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The cardiac conduction system represents the ‘wiring’ of the heart and orchestrates the propagation of the electrical activity to synchronize heartbeats. It is built from specialized cardiomyocytes expressing a subset of ion channels and gap junctions indispensable for their electrophysiological properties. Although representing only a very small volume of the heart, the conduction system plays a crucial role in the appearance of cardiac arrhythmias. The cells forming the conduction system are derived from the same cardiac progenitors as the working cardiomyocytes, and the choice between these two fates is acquired during embryonic development. The components of the conduction system are progressively established during cardiac morphogenesis and converge to form an integrated electrical system in the definitive heart. This chapter will discuss recent advances using mouse genetic approaches which have improved understanding of the cellular origin and the transcriptional regulatory networks involved in the development of the conduction system.
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Book chapters on the topic "Macro and small cells networks"

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Gamage, Amila Tharaperiya, and Xuemin Shen. "Resource Allocation for Interworking Macro Cell and Hyper-Dense Small Cell Networks." In SpringerBriefs in Electrical and Computer Engineering. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64268-0_5.

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Sporns, Olaf. "Connectome Networks: From Cells to Systems." In Micro-, Meso- and Macro-Connectomics of the Brain. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27777-6_8.

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Vahid, Seiamak, Rahim Tafazolli, and Marcin Filo. "Small Cells for 5G Mobile Networks." In Fundamentals of 5G Mobile Networks. John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118867464.ch3.

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Kostopoulos, Alexandros, Ioannis P. Chochliouros, Daniele Munaretto, et al. "Use Cases for 5G Networks Using Small Cells." In IFIP Advances in Information and Communication Technology. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92016-0_4.

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Amin, Asjad, Danyal Shafi, Zeeshan Ahmed, Waqas Anjum, Muhammad Owais, and Faheem Akram. "Incorporating Small Length Data Cells in TCP Frame to Reduce Retransmission of Corrupted Packets." In Computer Networks. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21771-5_26.

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Pérez-Romero, Jordi, Juan Sánchez-González, Oriol Sallent, and Alan Whitehead. "On Introducing Knowledge Discovery Capabilities in Cloud-Enabled Small Cells." In Engineering Applications of Neural Networks. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65172-9_57.

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Cho, Soohyun. "The Effect of Introducing Small Cells in Wireless Networks." In Advances in Computer Science and Ubiquitous Computing. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-3023-9_152.

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Vahidi, Vahid. "Accurate Attitude Estimation for Drones in 5G Drone Small Cells." In Lecture Notes in Networks and Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12388-8_10.

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Bouras, Christos, Vasileios Kokkinos, and Andreas Papazois. "Financing and Pricing Small Cells in Next-Generation Mobile Networks." In Lecture Notes in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13174-0_4.

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Antonelo, Eric A., and Benjamin Schrauwen. "Unsupervised Learning in Reservoir Computing: Modeling Hippocampal Place Cells for Small Mobile Robots." In Artificial Neural Networks – ICANN 2009. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04274-4_77.

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Conference papers on the topic "Macro and small cells networks"

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Vondra, Michal, and Zdenek Becvar. "Self-configured Neighbor Cell List of macro cells in network with Small Cells." In 2013 IEEE 24th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE, 2013. http://dx.doi.org/10.1109/pimrc.2013.6666669.

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Lee, Chia-Han, and Zih-Siang Syu. "Handover Analysis of Macro-Assisted Small Cell Networks." In 2014 IEEE International Conference on Internet of Things(iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing(CPSCom). IEEE, 2014. http://dx.doi.org/10.1109/ithings.2014.103.

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Dhifallah, Khaoula, Yvon Gourhant, and Sidi-Mohammed Senouci. "Cell selection game in heterogeneous macro-small cell networks." In ICC 2017 - 2017 IEEE International Conference on Communications. IEEE, 2017. http://dx.doi.org/10.1109/icc.2017.7996440.

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Wang, Hua, Claudio Rosa, and Klaus I. Pedersen. "Uplink Inter-Site Carrier Aggregation between Macro and Small Cells in Heterogeneous Networks." In 2014 IEEE 80th Vehicular Technology Conference (VTC Fall). IEEE, 2014. http://dx.doi.org/10.1109/vtcfall.2014.6966222.

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Yu, Cuibo. "Mobility Management While Integrating Small Cells into the Existing Macro-only Network." In Computer and Computing Science 2015. Science & Engineering Research Support soCiety, 2015. http://dx.doi.org/10.14257/astl.2015.111.51.

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Wang, Xiaoyi, Bishwarup Mondal, Eugene Visotsky, and Amitava Ghosh. "Coordinated scheduling and network architecture for LTE Macro and small cell deployments." In ICC'14 - W14: Workshop on Energy Efficiency in Wireless Networks & Wireless Networks for Energy Efficiency (E2Nets). IEEE, 2014. http://dx.doi.org/10.1109/iccw.2014.6881265.

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Chen, Chung Shue, Francois Baccelli, and Laurent Roullet. "Joint Optimization of Radio Resources in Small and Macro Cell Networks." In 2011 IEEE Vehicular Technology Conference (VTC 2011-Spring). IEEE, 2011. http://dx.doi.org/10.1109/vetecs.2011.5956746.

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Chen, Wenjie, Tong Li, Zhu Xiao, and Dong Wang. "On mitigating interference under device-to-device communication in macro-small cell networks." In 2016 International Conference on Computer, Information and Telecommunication Systems (CITS). IEEE, 2016. http://dx.doi.org/10.1109/cits.2016.7546431.

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Maher, Engy Aly, Wassim Alexan, and Ahmed El-Mahdy. "Interference management for D2D communications underlay macro-small cell networks with imperfect channel estimation." In 2017 Advances in Wireless and Optical Communications (RTUWO). IEEE, 2017. http://dx.doi.org/10.1109/rtuwo.2017.8228544.

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Mukherjee, Amitav. "Macro-small cell grouping in dual connectivity LTE-B networks with non-ideal backhaul." In ICC 2014 - 2014 IEEE International Conference on Communications. IEEE, 2014. http://dx.doi.org/10.1109/icc.2014.6883702.

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