Academic literature on the topic 'Picocell'

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Journal articles on the topic "Picocell"

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Li, Yuan, Li Zhang, Hua Chen, and Mugen Peng. "Interference Coordination in Multiple Antenna Based LTE-Advanced Heterogeneous Systems." International Journal of Antennas and Propagation 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/167368.

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With picocells deployed in the coverage of a macrocell in heterogeneous networks (HetNets), the macrocell evolved NodeB (MeNB) may receive interference signals from the picocell users, which results in more severe co-channel interference (CCI) problem in the uplink. In this paper, the spatial uplink interference coordination is investigated in multiple antenna systems, according to which the receiver coding matrix is generated by MeNB to mitigate the CCI from picocell users. Two interference coordination (IC) schemes are proposed based on whether the receiver coding matrix is full rank or not, named as full coding (IC-FC) and part coding (IC-PC), respectively. The application of the proposed schemes is discussed in single picocell and multiple picocell scenarios. The CCI can be totally canceled in single picocell scenario, and an algorithm is developed in multiple picocell networks to mitigate the most severely interfering picocell. Link level and system level simulations are applied, and it is shown that significant performance gain is achieved by our proposed schemes over traditional IC receivers.
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Yasaka, Takumi, Kentaro Yoda, and Hiroyuki Otsuka. "Optimization of Pico-eNB Tx Power and the Effects of Picocell Range Expansion in Multiband HetNet." Journal of Sensor and Actuator Networks 11, no. 2 (2022): 27. http://dx.doi.org/10.3390/jsan11020027.

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The use of heterogeneous networks (HetNets) that combine macrocells and picocells in the same coverage is effective in increasing system capacity and improving user throughput. The use of high carrier frequency bands is also expected to help achieving higher data rates because it promises vast amounts of signal bandwidth. Therefore, multiband HetNets with picocells operating at high carrier frequency bands have attracted significant attention with the aim of increasing system capacity and achieving a high user throughput in fifth-generation mobile systems and beyond. In HetNet deployments, a picocell range expansion (CRE) technique that virtually expands the picocell coverage is well known to allow more user equipment (UE) to access the picocell providing a fixed cell selection offset (CSO) for all UE. Thus far, there has not been sufficient research on optimizing the transmission (Tx) power of pico-evolved node Bs (eNBs) operating at high carrier frequency bands in multiband HetNets. In addition, the effects of CRE in multiband HetNets have not been clarified. In this paper, we first investigated the optimal Tx power of pico-eNB in a multiband HetNet combining macrocells operating at 2 GHz and picocells operating at 4.5 GHz band with a wider signal bandwidth using system-level computer simulations. Then, from the user throughput perspective, we investigated the effects of CRE providing a positive CSO for UE using two pico-eNB Tx powers close to the optimal value. Using these results, we discussed how to choose the pico-eNB Tx power when CRE was activated and validated the design method for a multiband HetNet.
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Fall, Macoumba, Mohammed Fattah, Mohammed Mahfoudi, et al. "Optimizing Energy Consumption in 5G HetNets: A Coordinated Approach for Multi-Level Picocell Sleep Mode with Q-Learning." Data and Metadata 3 (May 20, 2024): 333. http://dx.doi.org/10.56294/dm2024333.

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Cell standby, particularly picocell sleep mode (SM), is a prominent strategy for reducing energy consumption in 5G networks. The emergence of multi-state sleep states necessitates new optimization approaches. This paper proposes a novel energy optimization strategy for 5G heterogeneous networks (HetNets) that leverages macrocell-picocell coordination and machine learning. The proposed strategy focuses on managing the four available picocell sleep states. The picocell manages the first three states using the Q-learning algorithm, an efficient reinforcement learning technique. The associated macrocell based on picocell energy efficiency controls the final, deeper sleep state. This hierarchical approach leverages localized and network-wide control strengths for optimal energy savings. By capitalizing on macrocell-picocell coordination and machine learning, this work presents a promising solution for achieving significant energy reduction in 5G HetNets while maintaining network performance.
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Fujisawa, Kento, Fumiya Kemmochi, and Hiroyuki Otsuka. "Personal Picocell Scheme Using Adaptive Control CRE in Heterogeneous Mobile Networks." Journal of Sensor and Actuator Networks 9, no. 4 (2020): 48. http://dx.doi.org/10.3390/jsan9040048.

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Heterogeneous networks (HetNets), which are combined with a macrocell and picocell in the same coverage, are expected to further increase the system capacity in fifth-generation mobile systems and beyond. In HetNets, the cell range expansion (CRE) technique plays an important role and can allow more user equipment (UE) to access the picocell, i.e., virtually expand the picocell coverage. However, conventional CRE techniques that provide a fixed cell selection offset (CSO) for all UE may worsen user throughput if UE is forced to connect to the picocell because the received signal-to-interference plus noise ratio of the UE becomes lower. Therefore, we propose a personal picocell scheme using an adaptive control CRE technique to improve user throughput in which different CSOs are assigned to UE to form each optimal picocell for each UE. In this paper, we first describe the aspects and algorithm of the proposed scheme. Then, we show the user throughput for adaptive control CRE in comparison with conventional CRE by using system-level computer simulations for the two types of HetNets, i.e., single-band and multi-band HetNets. In the simulations, we first clarify the optimal parameters of the adaptive control CRE. We then show the average and 5-percentile user throughput of the optimized adaptive control CRE in comparison with that of conventional CRE. From these results, we confirmed that the personal picocell scheme using the adaptive control CRE can improve the 5-percentile user throughput while maintaining the average user throughput compared with that of conventional CRE.
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Hadi, Supriadi, and Putri Hasanah. "Range expansion method on heterogeneous network to increase picocell coverage." TELKOMNIKA Telecommunication, Computing, Electronics and Control 18, no. 5 (2020): 2341~2351. https://doi.org/10.12928/TELKOMNIKA.v18i5.14640.

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In this study, picocell planning was carried out on heterogeneous networks by applying the range expansion method. The case study was conducted in Coblong Subdistrict-Bandung on the 1800 MHz frequency. Heterogeneous network (HetNet) is a system that combines microcell networks and small cell networks (picocell and femtocell). The application of the range expansion method in picocell was aimed to broaden the scope of picocell. For the simulation, Atoll 3.3.0 software with observational parameters was implemented, including RSRP, SINR, throughput, and user connected. The planning results showed that the application of expansion method increased the coverage and quality of network, where the RSRP value ≥ -90 dBm was 97.72%, SINR ≥ 5 dB was 70.99%, uplink throughput was 17.80 Mbps, downlink throughput was 21.37 Mbps, and user connected was 99.2%.
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Andrita, Andrita Ceriana Eska, and Wahyu Muldayani. "HetNet Micro dan Pico Cell untuk AMC UE 10 GHz menggunakan SKE pada Lingkungan Bergedung." J-Innovation 12, no. 1 (2023): 1–6. http://dx.doi.org/10.55600/jipa.v12i1.166.

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User Equipment (UE) bergerak pada lintasan yang berada diantara gedung-gedung. UE tersebut menggunakan frekuensi 10 GHz. Metode Single Knife Edge (SKE) digunakan untuk mekanisme difraksi. Lintasan UE melewati HetNet (Heterogeneous Networks) yang terdiri dari microcell dan picocell. Propagasi UE kondisi uplink, dan kanal AWGN. AMC (Adaptive Modulation and Coding) yang digunakan memanfaatkan MCS (Modulation and Code Scheme) yang terdiri dari QPSK, 16QAM, dan 64QAM. Persentase cakupan yang menggunakan selection combining HetNet sebesar 95,52%, Node Base microcell 88,05%, dan Node Base picocell 56,71%. Persentase penggunaan selection combining dengan modulasi 64 QAM didapatkan 70,11%.
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Regmi, Hem, and Sanjib Sur. "Towards Deep Learning Augmented Robust D-Band Millimeter-Wave Picocell Deployment." ACM SIGMETRICS Performance Evaluation Review 50, no. 4 (2023): 62–64. http://dx.doi.org/10.1145/3595244.3595266.

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D-band millimeter-wave, a key wireless technology for beyond 5G networks, promises extremely high data rate, ultra-low latency, and enables new Internet of Things applications. However, massive signal attenuation, complex response to building structures, and frequent non-availability of the Line-Of-Sight path make D-band picocell deployment challenging. To address this challenge, we propose a deep learning-based tool, that allows a network deployer to quickly scan the environment from a few random locations and predict Signal Reflection Profiles everywhere, which is essential to determine the optimal locations for picocell deployment.
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Kumar, Suman, Sheetal Kalyani, and K. Giridhar. "Spectrum Allocation for ICIC-Based Picocell." IEEE Transactions on Vehicular Technology 64, no. 8 (2015): 3494–504. http://dx.doi.org/10.1109/tvt.2014.2360454.

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Yu, Xiang, Li Zhang, Wen Qing Wang, and Rong Wang. "A Handover Process Analysis Method in LTE-A Heterogeneous Network." Applied Mechanics and Materials 556-562 (May 2014): 5843–47. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.5843.

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Regmi, Hem, and Sanjib Sur. "Argus." ACM SIGMETRICS Performance Evaluation Review 50, no. 1 (2022): 29–30. http://dx.doi.org/10.1145/3547353.3522642.

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We propose Argus, a system to enable millimeter-wave (mmWave) deployers to quickly complete site-surveys without sacrificing the accuracy and effectiveness of thorough network deployment surveys. Argus first models the mmWave reflection profile of an environment, considering dominant reflectors, and then uses this model to find locations that maximize the usability of the reflectors. The key component in Argus is an effective deep learning model that can map the visual data to the mmWave signal reflections of an environment and can accurately predict mmWave signal profile at any unobserved locations. It allows Argus to find the best picocell locations to provide maximum coverage and also lets users self-localize accurately anywhere in the environment. Furthermore, Argus allows mmWave picocells to predict device's orientation accurately and enables object tagging and retrieval for VR/AR applications. We implement and validate Argus on two different buildings consisting of multiple different indoor environments. However, the generalization capability of Argus can easily update the model for unseen environments; so, Argus can be deployed to any indoor environment with little or no model fine-tuning.
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Dissertations / Theses on the topic "Picocell"

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Savage, Nicholas J. "A study of microcell and picocell wireless communication network channels." Thesis, University of Portsmouth, 2004. https://researchportal.port.ac.uk/portal/en/theses/a-study-of-microcell-and-picocell-wireless-communication-network-channels(c5d8228f-7a6e-444e-8f52-73419f505f1d).html.

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Prasad, Saurabh. "Radio over fiber for 3G cellular System." Thesis, Kolhapur Institute of Technology College of Engineering, 2010. http://hdl.handle.net/10919/71529.

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The demand for bandwidth is increasing vigorously. Thus wired network is using fiber optic telephone line instead of coaxial cable. The concept of Fiber to the Home (FTTH) is really coming into picture. Few countries like Japan, Korea etc are leading in this technology. But now the major challenge is how to provide the high speed internet connection wirelessly. Thus the change is to integrate the wireless and optical fiber communication.<br>Wireless Optical Communication
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Christiansson, Fredrik. "A distributed, mobile positioning systemfor wireless, handheld devices." Thesis, KTH, Teleinformatik, 2000. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-93545.

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This thesis investigates the possibilities of implementing a location awareness mechanism for the so-called lesswire localNavigator. The author claims that it is possible to implement such a mechanism within the given prerequisites and constraints, even though with today’s technology it may not be economically feasible. Due to the lesswire’s constraints: high accuracy (67%), high-resolution (12 m2) and no hardware modification allowed to the mobile device, the suggested scheme uses Time Difference Of Arrival technology (TDOA). The main advantage of TDOA, as stated in this thesis, is the fact that it is almost totally independent of the preferred wireless technology of the mobile device. TDOA technology therefore, can be applied to a wide range of wireless networks (primarily TDMA, CDMA, FDMA – based). A disadvantage of this scheme is the fact that the network infrastructure needs to be extremely well synchronized - which in turn implies higher costs. Depending on how the synchronization problem is solved, the proposed system may well be economically feasible in the near future.
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Legonkov, Pavel, and Vasily Prokopov. "Small Cell Wireless Backhaul in Mobile Heterogeneous Networks." Thesis, KTH, Kommunikationssystem, CoS, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-99010.

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Small cells are deployed in a crowded areas with a high demand for both coverage and capacity. It is hard to address both of these requirements simultaneous with a conventional mobile network architecture based on macro cells. In many case a wire is not available to connect the small cell to the core of the mobile network. Under these circumstances a wireless link could be a convenient solution for the backhaul. In this master’s thesis IEEE 802.11n technology was evaluated to assess its suitability for backhaul from a small wireless cell. The performance of wireless equipment manufactured by several vendors has been measured. The results of these measurements were analyzed and compared to a set of requirements established for small cell backhaul. The analysis has affirmed that IEEE 802.11n is capable of providing sufficient performance to be used for small cell backhaul in various deployment scenarios. Note that in this thesis we include femtocells, picocells, wireless LAN access points, and other technologies in the category of "small cells". Another research questions of this master’s thesis is security of small cell backhaul. In addition to protecting the backhaul link itself, the security research investigated the safety of the whole mobile network architecture remodeled with the introduction of small cells. A mechanism to integrate secure small cells into a mobile network was developed. The results obtained during the project will be used as an input for product development activities in the company hosting the project. The resulting product could become the target of future wireless system performance measurements.<br>Små celler sätts ut i områden med höga krav på täckning och kapacitet. Det är svårt att adressera båda dessa krav samtidigt med en konventionell mobil nätverksarkitektur baserad på makro-celler. I många fall finns ingen kabel tillgänglig att koppla den lilla cellen till kärnan i det mobila nätverket. Under dessa omständigheter kan en trådlös länk vara en lämplig lösning för backhaul. I denna avhandling utvärderas IEEE 802.11n-teknikens lämplighet för backhaul av små celler. Prestandan hos trådlös utrustning tillverkad av flera olika tillverkare har mätts. Resultaten av dessa mätningar analyserades och jämfördes med en mängd krav uppsatta för backhaul av små celler. Analysen har förankrat att IEEE 802.11n är kapabel till att tillhandahålla tillräcklig prestanda för backhaul av små celler i diverse miljöer. Notera att i denna avhandling så inkluderas femto-celler, pico-celler, Wireless LAN-åtkomstpunkter, och andra teknologier i kategorin små celler". Andra forskningsfrågor berörda i avhandlingen är säkerhet vid backhaul av små celler. Utöver att skydda backhaul-länken själv så undersökte säkerhetsforskningen säkerheten av hela mobilnätsarkitekturen när små celler används i arkitekturen. En mekanism för att integrera säkra små celler i ett mobilnät utvecklades. De resultat som införskaffades under projektets genomförande kommer att användas som input till produktutvecklingsaktiviteter hos företaget som sponsrade projektet. Den resulterande produkten skulle kunna bli mål för framtida prestandamätningar av trådlösa system.
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Fiacco, Mauro. "Intelligent picocells for adaptive indoor coverage and capacity." Thesis, University of Surrey, 2001. http://epubs.surrey.ac.uk/844492/.

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This dissertation presents and develops the Intelligent Picocell as a solution for high bit rate, efficient bandwidth indoor wireless communication. The research has examined different aspects of the indoor radio propagation environment and system implementation in order to highlight key benefits of the proposed architecture. Explosive growth in demand for indoor wireless communications motivates research into this novel radio architecture. The architecture should be capable of tailoring capacity and coverage to the needs of the specific indoor environment, while maximising spectral efficiency. The Intelligent Picocell is based on an evolution of the distributed antenna concept to provide macrodiversity, microdiversity and interference cancellation. The architecture is fully scalable to large numbers of users and can provide plug-and-play operation, with no need for detailed system planning beyond the antenna locations. The research examines different aspects of picocell system performance and design, including: Investigation on the indoor radio environment. Through measurements, the effects of building features on path loss and shadowing are analysed and propagation models are proposed for simulating picocell systems. Analysis of the Intelligent Picocell architecture, two algorithms are proposed for interference reduction, one based on a distributed narrowband optimum combiner and the other on a dynamic channel assignment and allocation scheme. Through simulation, it was demonstrated that the mobile transmitted power for an Intelligent Picocell is lower than the power required in a distributed antennas system. It was also shown that the capacity of the system depends on the number of antennas distributed in the building. Key words: Intelligent picocell, adaptive antennas, diversity, distributed antennas, dynamic channel allocation, propagation measurements.
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Gutierrez, Estevez David Manuel. "Interference analysis and mitigation for heterogeneous cellular networks." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/53009.

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The architecture of cellular networks has been undergoing an extraordinarily fast evolution in the last years to keep up with the ever increasing user demands for wireless data and services. Motivated by a search for a breakthrough in network capacity, the paradigm of heterogeneous networks (HetNets) has become prominent in modern cellular systems, where carefully deployed macrocells coexist with layers of irregularly deployed cells of reduced coverage sizes. Users can thus be offloaded from the macrocell and the capacity of the network increases. However, universal frequency reuse is usually employed to maximize capacity gains, thereby introducing the fundamental problem of inter-cell interference (ICI) in the network caused by the sharing of the spectrum among the different tiers of the HetNet. The objective of this PhD thesis is to provide analysis and mitigation techniques for the fundamental problem of interference in heterogeneous cellular networks. First, the interference of a two-tier network is modeled and analyzed by making use of spatial statistics tools that allow the reconstruction of complete coverage maps. A correlation analysis is then performed by deriving a spatial coverage cross-tier correlation function. Second, a novel architecture design is proposed to minimize interference in HetNets whose base stations may be equipped with very large antenna arrays, another key technology of future wireless systems. Then, we present interference mitigation techniques for different types of small cells, namely picocells and femtocells. In the third contribution of this thesis, we analyze the case of clustered deployments by proposing and comparing techniques suitable for this scenario. Fourth, we tackle the case of femtocell deployments by analyzing the degrading effect of interference and proposing new mitigation methods. Fifth, we introduce femtorelays, a novel small cell access technology that combats interference in femtocell networks and provides higher backhaul capacity.
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Weinmiller, Jost [Verfasser]. "Grouping wireless picocells to build a local area wireless infrastructure : fast and efficient local mobility management and range extension / Jost Weinmiller." 2000. http://d-nb.info/959630600/34.

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Books on the topic "Picocell"

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Savage, Nicholas John. A study of microcell and picocell wireless communication network channels. University of Portsmouth, 2004.

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Book chapters on the topic "Picocell"

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Tang, Lili. "Performance Analysis of Mobile Communication in Picocell and Femtocell." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35470-0_73.

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Godin, Philippe, and Nick Whinnett. "Picocells, Femtocells and Home eNodeBs." In LTE - The UMTS Long Term Evolution. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9780470978504.ch24.

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"picocell, n." In Oxford English Dictionary, 3rd ed. Oxford University Press, 2023. http://dx.doi.org/10.1093/oed/1549752440.

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"Propagation in Microcells and Picocells." In Modeling the Wireless Propagation Channel. John Wiley & Sons, Ltd, 2008. http://dx.doi.org/10.1002/9780470751749.ch8.

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Conference papers on the topic "Picocell"

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Inagaki, Naoto, Satoshi Suyama, and Hiroyuki Otsuka. "Impact of Twelve-Sector Picocells with 3D-BF in mmWave HetNets." In 2024 VTS Asia Pacific Wireless Communications Symposium (APWCS). IEEE, 2024. http://dx.doi.org/10.1109/apwcs61586.2024.10679286.

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Takada, Ayumu, and Yukitoshi Sanada. "Affiliation Macrocell Switching of Picocells in Uplink for Distributed Antenna System." In 2024 IEEE 29th Asia Pacific Conference on Communications (APCC). IEEE, 2024. https://doi.org/10.1109/apcc62576.2024.10767918.

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Manuzzi, Daniele. "The PicoCal of LHCb Upgrade 2." In 12th Large Hadron Collider Physics Conference. Sissa Medialab, 2025. https://doi.org/10.22323/1.478.0301.

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Zhang, Chenjia. "Scintillating sampling ECAL technology for the LHCb PicoCal." In 42nd International Conference on High Energy Physics. Sissa Medialab, 2024. https://doi.org/10.22323/1.476.0970.

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Li, Yuanbo, Yiqin Wang, Zhi Chen, Yi Chen, Ziming Yu, and Chong Han. "Correlation-Based Channel Measurement and Link-Level Analysis for THz Picocells on a University Street." In 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring). IEEE, 2024. http://dx.doi.org/10.1109/vtc2024-spring62846.2024.10683397.

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Salomoni, M. "Towards the LHCb PicoCal: R&D on radiation-tolerant SpaCal technology with picosecond time resolution." In 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD). IEEE, 2024. http://dx.doi.org/10.1109/nss/mic/rtsd57108.2024.10655365.

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Trinh, L. H., F. Ferrero, R. Staraj, and J.-M. Ribero. "700–960MHz MIMO antenna for picocell applications." In 2013 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting. IEEE, 2013. http://dx.doi.org/10.1109/aps.2013.6710844.

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Baines, R. "The need for WiMAX picocell & femtocells." In WiMAX London 2007. IEE, 2007. http://dx.doi.org/10.1049/ic:20070815.

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Llorente, R., A. Cartaxo, B. Uguen, et al. "Management of UWB picocell clusters: UCELLS project approach." In 2008 IEEE International Conference on Ultra-Wideband (ICUWB). IEEE, 2008. http://dx.doi.org/10.1109/icuwb.2008.4653435.

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Marie, Ivana, Bojan Bostjancic, and Andrea Goldsmith. "Resource allocation for constrained backhaul in picocell networks." In 2011 Information Theory and Applications Workshop (ITA). IEEE, 2011. http://dx.doi.org/10.1109/ita.2011.5743593.

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