Relevant bibliographies by topics / Capacity Maximization and Optimization

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Capacity Maximization and Optimization'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Capacity Maximization and Optimization"

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Hamini, Abdallah, Jean Yves Baudais, Andrea M. Tonello, and Jean-François Hélard. "Guard Time Optimization for Capacity Maximization of BPSK Impulse UWB Communications." Journal of Communications 9, no. 2 (2014): 188–97. http://dx.doi.org/10.12720/jcm.9.2.188-197.

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Wang, Haibo, Xiaoli Chu, and Hongliang Xiang. "Capacity Maximization and Transmission Rates Optimization for Relay Assisted Wireless Multicast." IEEE Communications Letters 16, no. 10 (October 2012): 1592–95. http://dx.doi.org/10.1109/lcomm.2012.090312.120782.

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Ali, Azhar, Amna Baig, Ghulam Mujtaba Awan, Wali Ullah Khan, Zain Ali, and Guftaar Ahmad Sardar Sidhu. "Efficient Resource Management for Sum Capacity Maximization in 5G NOMA Systems." Applied System Innovation 2, no. 3 (August 7, 2019): 27. http://dx.doi.org/10.3390/asi2030027.

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The modern cellular technologies are expected to provide high data rates and massive connectivity in fifth generation (5G) systems; however, this may be impossible through traditional radio access techniques. Recently, non-orthogonal multiple access (NOMA) has emerged as one of the promising cellular techniques for modern cellular communications with its ability to provide access for multiple users to the network over the same system resources. This paper studies resource management problem for downlink transmission of multiuser NOMA system. Our objective is to optimize both frequency and power resources for sum capacity maximization while taking into account each user minimum capacity requirement. Firstly, the problem of resource management decouples into two subproblems, that is, efficient sub-channel assignment and optimal power allocation, respectively. Secondly, for given power at base station, we design two sub-optimal algorithms for sub-channel assignment based on user channel condition and user minimum capacity requirement, respectively. Lastly, for any given sub-channel assignment, the problem first transforms into standard convex optimization problem and then we employ duality theory. To evaluate our proposed NOMA scheme, the enhanced version of existing NOMA optimization scheme is also presented as a benchmark. Results demonstrate that the proposed NOMA resource management scheme outperforms the benchmark NOMA optimization scheme in terms of sum capacity.
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Zhao, Jian, Jianhui Wang, Zhao Xu, Cheng Wang, Can Wan, and Chen Chen. "Distribution Network Electric Vehicle Hosting Capacity Maximization: A Chargeable Region Optimization Model." IEEE Transactions on Power Systems 32, no. 5 (September 2017): 4119–30. http://dx.doi.org/10.1109/tpwrs.2017.2652485.

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Heitsch, Holger. "On probabilistic capacity maximization in a stationary gas network." Optimization 69, no. 3 (June 10, 2019): 575–604. http://dx.doi.org/10.1080/02331934.2019.1625353.

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Xiang, Zheng, Yu Tang, and Feng Kang. "A Traffic Allocation Algorithm Base on Airline’s Profit Maximization in Multi-Aerodrome Terminal Airspace." Applied Mechanics and Materials 713-715 (January 2015): 1560–63. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.1560.

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Due to the capacity constraint on traffic flow in multi-aerodrome terminal airspace, an algorithm to allocate traffic flow according to capacity in multi-aerodrome terminal airspace is studied by exploring collaborative decision making and law of economics. First, considering factors such as airline’s gross income, operation cost and delay cost, a traffic optimization model to maximize total airline’s profit is established, and constraints including capacity of multi-aerodrome terminal airspace are imposed as well. Then, an improved genetic algorithm to obtain optimal solutions to the optimization model is developed. Traffic flow can be better allocated according to capacity in multi-aerodrome terminal airspace by using the proposed strategy, while airline’s profit is increased simultaneously.
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Thiagarajah, Siva Priya, Mohamad Yusoff Alias, and Wooi-Nee Tan. "QoS controlled capacity offload optimization in heterogeneous networks." Bulletin of Electrical Engineering and Informatics 9, no. 6 (December 1, 2020): 2667–80. http://dx.doi.org/10.11591/eei.v9i6.2706.

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An efficient resource allocation mechanism in the physical layer of wireless networks ensures that resources such as bandwidth and power are used with high efficiency in spite of low delay and high edge user data rate. Microcells in the network are typically set with bias settings to artificially increase the Signal-to-Interference-Plus-Noise Ratio, thus encouraging users to offload to the microcell. However, the artificial bias settings are tedious and often suboptimal. This work presents a low complexity algorithm for maximization of network capacity with load balancing in a heterogeneous network without the need for bias setting. The small cells were deployed in a grid topology at a selected distance from macrocell to enhance network capacity through coverage overlap. User association and minimum user throughput were incorporated as constraints to enable closer simulation to real word Quality of Service requirements. The results showed that the proposed algorithm was able to maintain less than 10% user drop rate. The proposed algorithm can increase user confidence as well as maintain load balancing, maintain the scalability, and reduce power consumption of the wireless network.
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Zhu, Yong, Yan Hua Zhang, and Zheng Li. "An Optimization Distribution Model of Initial Emission Permits." Advanced Materials Research 518-523 (May 2012): 1848–52. http://dx.doi.org/10.4028/www.scientific.net/amr.518-523.1848.

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Improving the allocation efficiency of environmental capacity is an important way to realize the coordination of a country's economic growth and environmental quality level. This paper simulates the economic environment of the real society and establishes discrete dynamic programming model about the initial distribution of the emissions permits, and adopts the inverse-deducing method studying the allocation efficiency of the initial emission permits from the perspective of economic benefit of the distribution of emission permits. At last, it points out that we can realize benefit maximization if limited regional environmental capacity can be distributed with a scientific and reasonable way in industries which own different value creation.
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Niu, Haibin, Xinyu Zhao, Liming Hou, and Dongjun Ma. "Energy Efficiency Maximization for UAV-Assisted Emergency Communication Networks." Wireless Communications and Mobile Computing 2021 (August 17, 2021): 1–15. http://dx.doi.org/10.1155/2021/7595347.

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Using unmanned aerial vehicles (UAVs) in emergency communications is a promising technology because of their flexible deployment, low cost, and high mobility. However, due to the limited energy of the onboard battery, the service duration of the UAV is greatly limited. In this paper, we study an emerging energy-efficient UAV emergency network, where a UAV works as an aerial base station to serve a group of users with different statistical quality-of-service (QoS) constraints in the downlink. In particular, the energy efficiency of the UAV is defined as the sum effective capacity of the downlink users divided by the energy consumption of the UAV, which includes the energy consumed by communication and the energy consumed by hovering. Then, we formulate an optimization problem to maximize the energy efficiency of the UAV by jointly optimizing the UAV’s altitude, downlink transmit power, and bandwidth allocation while meeting a statistical delay QoS requirement for each user. The formulated optimization problem is a nonlinear nonconvex optimization problem of fractional programming, which is difficult to solve. In order to deal with the nonconvex optimization problem, the following two steps are used. First, we transform the fractional objective function into a tractable subtractive function. Second, we decompose the original optimization problem into three subproblems, and then, we propose an efficient iterative algorithm to obtain the energy efficiency maximization value by using the Dinkelbach method, the block coordinate descent, and the successive convex optimization technique. Extensive simulation results show that our proposed algorithm has significant energy savings compared with a benchmark scheme.
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Osiadacz, Andrzej J., and Niccolo Isoli. "Multi-Objective Optimization of Gas Pipeline Networks." Energies 13, no. 19 (October 2, 2020): 5141. http://dx.doi.org/10.3390/en13195141.

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The main goal of this paper is to prove that bi-objective optimization of high-pressure gas networks ensures grater system efficiency than scalar optimization. The proposed algorithm searches for a trade-off between minimization of the running costs of compressors and maximization of gas networks capacity (security of gas supply to customers). The bi-criteria algorithm was developed using a gradient projection method to solve the nonlinear constrained optimization problem, and a hierarchical vector optimization method. To prove the correctness of the algorithm, three existing networks have been solved. A comparison between the scalar optimization and bi-criteria optimization results confirmed the advantages of the bi-criteria optimization approach.
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Dissertations / Theses on the topic "Capacity Maximization and Optimization"

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Nguyen, Son. "Capacity and Throughput Optimization in Multi-cell 3G WCDMA Networks." Thesis, University of North Texas, 2005. https://digital.library.unt.edu/ark:/67531/metadc4948/.

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User modeling enables in the computation of the traffic density in a cellular network, which can be used to optimize the placement of base stations and radio network controllers as well as to analyze the performance of resource management algorithms towards meeting the final goal: the calculation and maximization of network capacity and throughput for different data rate services. An analytical model is presented for approximating the user distributions in multi-cell third generation wideband code division multiple access (WCDMA) networks using 2-dimensional Gaussian distributions by determining the means and the standard deviations of the distributions for every cell. This model allows for the calculation of the inter-cell interference and the reverse-link capacity of the network. An analytical model for optimizing capacity in multi-cell WCDMA networks is presented. Capacity is optimized for different spreading factors and for perfect and imperfect power control. Numerical results show that the SIR threshold for the received signals is decreased by 0.5 to 1.5 dB due to the imperfect power control. The results also show that the determined parameters of the 2-dimensional Gaussian model match well with traditional methods for modeling user distribution. A call admission control algorithm is designed that maximizes the throughput in multi-cell WCDMA networks. Numerical results are presented for different spreading factors and for several mobility scenarios. Our methods of optimizing capacity and throughput are computationally efficient, accurate, and can be implemented in large WCDMA networks.
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Dhillon, Harpreet Singh. "Optimal Sum-Rate of Multi-Band MIMO Interference Channel." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/34766.

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While the channel capacity of an isolated noise-limited wireless link is well-understood, the same is not true for the interference-limited wireless links that coexist in the same area and occupy the same frequency band(s). The performance of these wireless systems is coupled to each other due to the mutual interference. One such wireless scenario is modeled as a network of simultaneously communicating node pairs and is generally referred to as an interference channel (IC). The problem of characterizing the capacity of an IC is one of the most interesting and long-standing open problems in information theory. A popular way of characterizing the capacity of an IC is to maximize the achievable sum-rate by treating interference as Gaussian noise, which is considered optimal in low-interference scenarios. While the sum-rate of the single-band SISO IC is relatively well understood, it is not so when the users have multiple-bands and multiple-antennas for transmission. Therefore, the study of the optimal sum-rate of the multi-band MIMO IC is the main goal of this thesis. The sum-rate maximization problem for these ICs is formulated and is shown to be quite similar to the one already known for single-band MIMO ICs. This problem is reduced to the problem of finding the optimal fraction of power to be transmitted over each spatial channel in each frequency band. The underlying optimization problem, being non-linear and non-convex, is difficult to solve analytically or by employing local optimization techniques. Therefore, we develop a global optimization algorithm by extending the Reformulation and Linearization Technique (RLT) based Branch and Bound (BB) strategy to find the provably optimal solution to this problem. We further show that the spatial and spectral channels are surprisingly similar in a multi-band multi-antenna IC from a sum-rate maximization perspective. This result is especially interesting because of the dissimilarity in the way the spatial and frequency channels affect the perceived interference. As a part of this study, we also develop some rules-of-thumb regarding the optimal power allocation strategies in multi-band MIMO ICs in various interference regimes. Due to the recent popularity of Interference Alignment (IA) as a means of approaching capacity in an IC (in high-interference regime), we also compare the sum-rates achievable by our technique to the ones achievable by IA. The results indicate that the proposed power control technique performs better than IA in the low and intermediate interference regimes. Interestingly, the performance of the power control technique improves further relative to IA with an increase in the number of orthogonal spatial or frequency channels.
Master of Science
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Aki, Hazar. "Resource Allocation Methodologies with Fractional Reuse Partitioning in Cellular Networks." Scholar Commons, 2011. http://scholarcommons.usf.edu/etd/2979.

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Conventional cellular systems have not taken full advantage of fractional frequency reuse and adaptive allocation due to the fixed cluster size and uniformed channel assignment procedures. This problem may cause more fatal consequences considering the cutting-edge 4G standards which have higher data rate requirements such as 3GPP-LTE and IEEE 802.16m (WiMAX). In this thesis, three different partitioning schemes for adaptive clustering with fractional frequency reuse were proposed and investigated. An overlaid cellular clustering scheme which uses adaptive fractional frequency reuse factors would provide a better end-user experience by exploiting the high level of signal to interference ratio (SIR). The proposed methods are studied via simulations and the results show that the adaptive clustering with different partitioning methods provide better capacity and grade of service (GoS) comparing to the conventional cellular architecture methodologies.
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Cary, Matthew. "On profit maximization in mechanism design /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/6980.

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Sotiropoulos, Filippos Edward. "Real-time trajectory optimization for excavators by power maximization." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120226.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2018.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 45-46).
In this work an algorithm for controlling the motion of an autonomous excavator arm during excavation is presented. To deal with the challenge, posed by modeling and planning trajectories through soil, a model-free method is proposed which aims at maximally harnessing the capabilities of the excavator by matching its internal characteristics to those of the environment. By maximizing the power output of specific actuators the machine is able to strike a balance between disadvantageous operating conditions where it is either getting stuck in the soil or simply not utilizing its full potential to move soil towards task oriented goals. The real-time optimization, which used methods from extremum seeking control, was implemented in simulation and then on a small scale simulation rig which validated the method. It was shown that power maximization as a strategy of trajectory adaptation for excavation was both well-grounded and feasible.
by Filippos Edward Sotiropoulos.
S.M.
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Li, Hongyan. "Capacity optimization for supply chains." Thesis, Lancaster University, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.445481.

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Qin, Xiaoqi. "On Throughput Maximization in a Multi-hop MIMO Ad Hoc Network." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/23160.

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In recent years, there has been a growing research interest in throughput optimization problems in a multi-hop wireless network. MIMO (multiple-input multiple-output), as an advanced physical layer technology, has been employed in multi-hop wireless networks to increase throughput with a given bandwidth or transmit power. It exploits the use of multiple antennas at the transmitter and receiver to increase spectral efficiency by leveraging its spatial multiplexing (SM) and interference cancellation (IC) capabilities. Instead of carrying complex manipulations on matrices, degree-of-freedom(DoF) based MIMO models, which require only simple computations, are widely used in networking research to exploit MIMO\'s SM and IC capabilities.
In this thesis, we employ a new DoF model, which can ensure feasible solution and achieve
a higher DoF region than previous DoF-based models. Based on this model, we study the DoF scheduling for a multi-hop MIMO network. Specifically, we aim to maximize the minimum rate among all sessions in the network. Some researches have been done based on this model to solve throughput optimization problems with the assumption that the route of each session is given priori. Although the fixed routing decreases the size of the problem, it also limits the performance of the network to a great extent.
The goal of this thesis is to employ this new model to solve the throughput maximization
problem by jointly considering flow routing, scheduling, and DoF allocation for SM and IC. We
formulate it as a mixed integer linear program (MILP), which cannot be solved efficiently by
commercial softwares even for moderate sized networks. Thus, we develop an efficient polynomial time algorithm by customizing the sequential fixing framework. Through simulation results, we show that this algorithm can efficiently provide near-optimal solutions for networks with different sizes.
Master of Science
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Sanchis, Cano Ángel. "Economic analysis of wireless sensor-based services in the framework of the Internet of Things. A game-theoretical approach." Doctoral thesis, Universitat Politècnica de València, 2018. http://hdl.handle.net/10251/102642.

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El mundo de las telecomunicaciones está cambiando de un escenario donde únicamente las personas estaban conectadas a un modelo donde prácticamente todos los dispositivos y sensores se encuentran conectados, también conocido como Internet de las cosas (IoT), donde miles de millones de dispositivos se conectarán a Internet a través de conexiones móviles y redes fijas. En este contexto, hay muchos retos que superar, desde el desarrollo de nuevos estándares de comunicación al estudio de la viabilidad económica de los posibles escenarios futuros. En esta tesis nos hemos centrado en el estudio de la viabilidad económica de diferentes escenarios mediante el uso de conceptos de microeconomía, teoría de juegos, optimización no lineal, economía de redes y redes inalámbricas. La tesis analiza la transición desde redes centradas en el servicio de tráfico HTC a redes centradas en tráfico MTC desde un punto de vista económico. El primer escenario ha sido diseñado para centrarse en las primeras etapas de la transición, en la que ambos tipos de tráfico son servidos bajo la misma infraestructura de red. En el segundo escenario analizamos la siguiente etapa, en la que el servicio a los usuarios MTC se realiza mediante una infraestructura dedicada. Finalmente, el tercer escenario analiza la provisión de servicios basados en MTC a usuarios finales, mediante la infraestructura analizada en el escenario anterior. Gracias al análisis de todos los escenarios, hemos observado que la transición de redes centradas en usuarios HTC a redes MTC es posible y que la provisión de servicios en tales escenarios es viable. Además, hemos observado que el comportamiento de los usuarios es esencial para determinar la viabilidad de los diferentes modelos de negocio, y por tanto, es necesario estudiar el comportamiento y las preferencias de los usuarios en profundidad en estudios futuros. Específicamente, los factores más relevantes son la sensibilidad de los usuarios al retardo en los datos recopilados por los sensores y la cantidad de los mismos. También hemos observado que la diferenciación del tráfico en categorías mejora el uso de las redes y permite crear nuevos servicios empleando datos que, de otro modo, no se aprovecharían, lo cual nos permite mejorar la monetización de la infraestructura. También hemos demostrado que la provisión de capacidad es un mecanismo válido, alternativo a la fijación de precios, para la optimización de los beneficios de los proveedores de servicio. Finalmente, se ha demostrado que es posible crear roles específicos para ofrecer servicios IoT en el mercado de las telecomunicaciones, específicamente, los IoT-SPs, que proporcionan servicios basados en sensores inalámbricos utilizando infraestructuras de acceso de terceros y sus propias redes de sensores. En resumen, en esta tesis hemos intentado demostrar la viabilidad económica de modelos de negocio basados en redes futuras IoT, así como la aparición de nuevas oportunidades y roles de negocio, lo cual nos permite justificar económicamente el desarrollo y la implementación de las tecnologías necesarias para ofrecer servicios de acceso inalámbrico masivo a dispositivos MTC.
The communications world is moving from a standalone devices scenario to a all-connected scenario known as Internet of Things (IoT), where billions of devices will be connected to the Internet through mobile and fixed networks. In this context, there are several challenges to face, from the development of new standards to the study of the economical viability of the different future scenarios. In this dissertation we have focused on the study of the economic viability of different scenarios using concepts of microeconomics, game theory, non-linear optimization, network economics and wireless networks. The dissertation analyzes the transition from a Human Type Communications (HTC) to a Machine Type Communications (MTC) centered network from an economic point of view. The first scenario is designed to focus on the first stages of the transition, where HTC and MTC traffic are served on a common network infrastructure. The second scenario analyzes the provision of connectivity service to MTC users using a dedicated network infrastructure, while the third stage is centered in the analysis of the provision of services based on the MTC data over the infrastructure studied in the previous scenario. Thanks to the analysis of all the scenarios we have observed that the transition from HTC users-centered networks to MTC networks is possible and that the provision of services in such scenarios is viable. In addition, we have observed that the behavior of the users is essential in order to determine the viability of a business model, and therefore, it is needed to study their behavior and preferences in depth in future studios. Specifically, the most relevant factors are the sensitivity of the users to the delay and to the amount of data gathered by the sensors. We also have observed that the differentiation of the traffic in categories improves the usage of the networks and allows to create new services thanks to the data that otherwise would not be used, improving the monetization of the infrastructure and the data. In addition, we have shown that the capacity provision is a valid mechanism for providers' profit optimization, as an alternative to the pricing mechanisms. Finally, it has been demonstrated that it is possible to create dedicated roles to offer IoT services in the telecommunications market, specifically, the IoT-SPs, which provide wireless-sensor-based services to the final users using a third party infrastructure. Summarizing, this dissertation tries to demonstrate the economic viability of the future IoT networks business models as well as the emergence of new business opportunities and roles in order to justify economically the development and implementation of the new technologies required to offer massive wireless access to machine devices.
El món de les telecomunicacions està canviant d'un escenari on únicament les persones estaven connectades a un model on pràcticament tots els dispositius i sensors es troben connectats, també conegut com a Internet de les Coses (IoT) , on milers de milions de dispositius es connectaran a Internet a través de connexions mòbils i xarxes fixes. En aquest context, hi ha molts reptes que superar, des del desenrotllament de nous estàndards de comunicació a l'estudi de la viabilitat econòmica dels possibles escenaris futurs. En aquesta tesi ens hem centrat en l'estudi de la viabilitat econòmica de diferents escenaris per mitjà de l'ús de conceptes de microeconomia, teoria de jocs, optimització no lineal, economia de xarxes i xarxes inalàmbriques. La tesi analitza la transició des de xarxes centrades en el servici de tràfic HTC a xarxes centrades en tràfic MTC des d'un punt de vista econòmic. El primer escenari ha sigut dissenyat per a centrar-se en les primeres etapes de la transició, en la que ambdós tipus de tràfic són servits davall la mateixa infraestructura de xarxa. En el segon escenari analitzem la següent etapa, en la que el servici als usuaris MTC es realitza per mitjà d'una infraestructura dedicada. Finalment, el tercer escenari analitza la provisió de servicis basats en MTC a usuaris finals, per mitjà de la infraestructura analitzada en l'escenari anterior. Als paràgrafs següents es descriu amb més detall cada escenari. Gràcies a l'anàlisi de tots els escenaris, hem observat que la transició de xarxes centrades en usuaris HTC a xarxes MTC és possible i que la provisió de servicis en tals escenaris és viable. A més a més, hem observat que el comportament dels usuaris és essencial per a determinar la viabilitat dels diferents models de negoci, i per tant, és necessari estudiar el comportament i les preferències dels usuaris en profunditat en estudis futurs. Específicament, els factors més rellevants són la sensibilitat dels usuaris al retard en les dades recopilats pels sensors i la quantitat dels mateixos. També hem observat que la diferenciació del tràfic en categories millora l'ús de les xarxes i permet crear nous servicis emprant dades que, d'una altra manera, no s'aprofitarien, la qual cosa ens permet millorar la monetització de la infraestructura. També hem demostrat que la provisió de capacitat és un mecanisme vàlid, alternatiu a la fixació de preus, per a l'optimització dels beneficis dels proveïdors de servici. Finalment, s'ha demostrat que és possible crear rols específics per a oferir servicis IoT en el mercat de les telecomunicacions, específicament, els IoT-SPs, que proporcionen servicis basats en sensors inalàmbrics utilitzant infraestructures d'accés de tercers i les seues pròpies xarxes de sensors. En resum, en aquesta tesi hem intentat demostrar la viabilitat econòmica de models de negoci basats en xarxes futures IoT, així com l'aparició de noves oportunitats i rols de negoci, la qual cosa ens permet justificar econòmicament el desenrotllament i la implementació de les tecnologies necessàries per a oferir servicis d'accés inalàmbric massiu a dispositius MTC.
Sanchis Cano, Á. (2018). Economic analysis of wireless sensor-based services in the framework of the Internet of Things. A game-theoretical approach [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/102642
TESIS
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Bley, Andreas. "Routing and capacity optimization for IP networks." [S.l.] : [s.n.], 2007. http://opus.kobv.de/tuberlin/volltexte/2007/1553.

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McClain, Evan James. "Metroplex identification, evaluation, and optimization." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/47692.

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As airspace congestion becomes increasingly more common, one of the primary places airspace congestion is felt today, and will only continue to increase, is in areas where more than one major airport interact. We will call these groups of interdependent airports a metroplex; a term originally coined to describe large metropolitan areas where more than one city of equal (or near equal) size or importance. These metroplex areas are of particular importance in understanding future capacity demands because many of these areas are currently experiencing problems with meeting the current demand, and demand is only projected to increase as air travel becomes more popular. Many of these capacity issues have been identified in the FAA's Future Airport Capacity Task (FACT). From the second FACT report, it is stated that "the FACT 1 analysis revealed that many of our hub airports and their associated metropolitan areas could be expected to experience capacity constraints (i.e. unacceptable levels of delay) by 2013 and 2020, even if the planned improvements envisioned at that time were completed." This analysis shows that the current methods of expanding airports will not scale with the growing demand. To address this growing demand, a three part solution is proposed. The first step is to properly identify the metroplex areas to be evaluated. While the FACT reports serve to identify areas where capacity growth does not meet demand, these areas are not grouped into metroplexes. To do this grouping, an interaction metric was developed based on airport distance and traffic volume. This interaction metric serves as a proxy for how the existence of a second airport impacts the operation of the first. This pairwise metric was then computed for all commercial airports in the US and were grouped into metroplexes using a clustering algorithm. The second obstacle was to develop a tool to evaluate each metroplex as new algorithms were tested. A discrete event based simulation was developed to model each link in the airspace structure for each aircraft that enters the TRACON. This program tracks the delay each aircraft is required to accumulate in holding patterns or traffic trombones. A third and final method discussed here was an optimization program that can be used to schedule aircraft that are entering the TRACON to perform small modifications in their speed while en route to reduce the overall delay (both en route and in the TRACON). While formal optimization methods for scheduling aircraft arrivals have been presented before, the computational complexity has greatly prevented such algorithms from being used to schedule many aircraft in a dense schedule. This is because mixed integer programming (MIP) is a NP-hard problem. Practically, this means that the solution time can grow exponentially as the problem size (number of aircraft) increases. To address this issue, a Benders' decomposition scheme was introduced that allows solutions to be computed in near real-time on commodity hardware. These solutions can be evaluated and compared against the currently used TMA algorithm to show surprising gains in high density traffic.
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Books on the topic "Capacity Maximization and Optimization"

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Lockett, Alan J. General-Purpose Optimization Through Information Maximization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-662-62007-6.

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Narayanaswami, Sundaravalli. Yard capacity optimization. Ahmedabad: Indian Institute of Management, 2014.

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3

Bailey, Michael P. Maximization on matroids with random weights. Monterey, Calif: Naval Postgraduate School, 1991.

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4

Cellular mobile radio systems: Designing systems for capacity optimization. Chichester: John Wiley & Sons, 1997.

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Geerdes, Hans-Florian. UMTS Radio Network Planning: Mastering Cell Coupling for Capacity Optimization. Wiesbaden: Vieweg+Teubner Verlag / GWV Fachverlage GmbH, Wiesbaden, 2008.

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Ishiguro, M. DALL : Davidson's Algorithm for Log Likelihood Maximization: A FORTRAN subroutine for statistical model builders. Tokyo: Institute of Statistical Mathematics, 1989.

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Caramia, Massimiliano. Multi-objective management in freight logistics: Increasing capacity, service level and safety with optimization algorithms. London: Springer, 2008.

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1958-, Dell'Olmo Paolo, ed. Multi-objective management in freight logistics: Increasing capacity, service level and safety with optimization algorithms. London: Springer, 2008.

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Caramia, Massimiliano. Multi-objective management in freight logistics: Increasing capacity, service level and safety with optimization algorithms. London: Springer, 2008.

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Wilfried, Brauer, Hromkovič Juraj 1958-, Rozenberg Grzegorz, Salomaa Arto, and SpringerLink (Online service), eds. Time-Dependent Scheduling. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2008.

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Book chapters on the topic "Capacity Maximization and Optimization"

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Reunanen, Jussi, Riku Luostari, and Harri Holma. "Capacity Optimization." In LTE Small Cell Optimization, 249–92. Chichester, UK: John Wiley & Sons Ltd, 2015. http://dx.doi.org/10.1002/9781118912560.ch13.

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Lee, Jon. "Techniques for Submodular Maximization." In Discrete Geometry and Optimization, 163–77. Heidelberg: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00200-2_10.

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Zhang, J. C., and M. A. Styblinski. "Parametric Yield Maximization." In Yield and Variability Optimization of Integrated Circuits, 55–123. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-2225-6_4.

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Kogan, Konstantin, and Eugene Khmelnitsky. "Unlimited Capacity Problems." In Applied Optimization, 39–154. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4675-7_3.

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Kogan, Konstantin, and Eugene Khmelnitsky. "Limited Capacity Problems." In Applied Optimization, 155–282. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4675-7_4.

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Yang, Ruiqi, Dachuan Xu, Longkun Guo, and Dongmei Zhang. "Sequence Submodular Maximization Meets Streaming." In Combinatorial Optimization and Applications, 565–75. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36412-0_46.

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Kawase, Yasushi, Hanna Sumita, and Takuro Fukunaga. "Submodular Maximization with Uncertain Knapsack Capacity." In LATIN 2018: Theoretical Informatics, 653–68. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77404-6_48.

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Ghosh, Smita, Jianming Zhu, and Weili Wu. "Composed Influence Maximization in Social Networks." In Nonlinear Combinatorial Optimization, 251–64. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16194-1_11.

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Képes, Tamás, Noémi Gaskó, Rodica Ioana Lung, and Mihai-Alexandru Suciu. "Influence Maximization and Extremal Optimization." In Lecture Notes in Computer Science, 416–27. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29859-3_36.

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Orlin, James B., Andreas S. Schulz, and Rajan Udwani. "Robust Monotone Submodular Function Maximization." In Integer Programming and Combinatorial Optimization, 312–24. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33461-5_26.

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Conference papers on the topic "Capacity Maximization and Optimization"

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Yu, Hongyan, Baojie Zhang, Tong Wang, and Jun Wang. "Secrecy Capacity Maximization in Wireless Wiretap Channel: A Neurodynamic Optimization Approach." In 2021 13th International Conference on Advanced Computational Intelligence (ICACI). IEEE, 2021. http://dx.doi.org/10.1109/icaci52617.2021.9435916.

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Leal, Brenda, Daniel Barbosa, and Luciano Sales Barros. "Photovoltaic Hosting Capacity Maximization in a Low Voltage System Using Particle Swarm Optimization." In ANAIS DA XIV CONFERêNCIA BRASILEIRA SOBRE QUALIDADE DA ENERGIA ELéTRICA. Galoa, 2021. http://dx.doi.org/10.17648/cbqee-2021-130532.

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Kapelevich, Alexander L., and Viacheslav M. Ananiev. "Gear Transmission Density Maximization." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47021.

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Maximization of the gear transmission density presents an important task. It allows to increase the output torque within given dimensional constrains that is critical, for instance, in racing gearboxes, or to reduce size and weight of aerospace gear drives. It can also lead to reduced costs for automotive and consumer product gear trains, etc. There are several ways to increase gear drive load capacity, including advanced design, materials, and technologies. This paper presents an approach that allows optimizing gearbox kinematic arrangement and gear tooth geometry to achieve high gear transmission density. It introduces dimensionless gearbox volume functions, which can be minimized by the internal gear ratio optimization. Different gearbox arrangements are analyzed to define a minimum of the volume functions. Application of the asymmetric gear tooth profiles power density maximization is also considered.
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Papadopoulos, C. I., E. E. Efstathiou, P. G. Nikolakopoulos, and L. Kaiktsis. "Geometry Optimization of Textured 3-D Micro-Thrust Bearings." In ASME 2011 Turbo Expo: Turbine Technical Conference and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/gt2011-45822.

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The paper presents an optimization study of the geometry of three-dimensional micro-thrust bearings, in a wide range of convergence ratios. The optimization goal is the maximization of the bearing load carrying capacity. The bearings are modeled as microchannels, consisting of a smooth moving wall (rotor), and a stationary wall (stator) with partial periodic rectangular texturing. The flow field is calculated from the numerical solution of the Navier-Stokes equations for incompressible isothermal flow; processing of the results yields the bearing load capacity and friction coefficient. The geometry of the textured channel is defined parametrically for several width-to-length ratios. Optimal texturing geometries are obtained by utilizing an optimization tool based on genetic algorithms, which is coupled to the CFD code. Here, the design variables define the bearing geometry and convergence ratio. To minimize the computational cost, a multi-objective approach is proposed, consisting in the simultaneous maximization of the load carrying capacity and minimization of the bearing convergence ratio. The optimal solutions, identified based on the concept of Pareto dominance, are equivalent to those of single-objective optimization problems at different convergence ratio values. The present results demonstrate that the characteristics of the optimal texturing patterns depend strongly on both the convergence ratio and the width-to-length ratio. Further, the optimal load carrying capacity increases at increasing convergence ratio, up to an optimal value, identified by the optimization procedure. Finally, proper surface texturing provides substantial load carrying capacity even for parallel or slightly diverging bearings. Based on the present results, we propose simple formulas for the design of textured micro-thrust bearings.
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Lamancusa, S., D. A. Saravanos, and H. J. Sommer. "Shape Optimization of Robotic Manipulators for Maximum Stiffness and Load Carrying Capacity." In ASME 1989 Design Technical Conferences. American Society of Mechanical Engineers, 1989. http://dx.doi.org/10.1115/detc1989-0090.

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Abstract Structural optimization can result in robotic arms with significantly improved stiffness and load carrying capacity. The geometrical shape of the manipulator links can be optimized for maximum stiffness-to-weight and strength-to-weight ratios. The problem of stiffening and strengthening a manipulator is solved by optimal redistribution of the available material without increasing the total mass of the manipulator. Since manipulators are programmed to move through a range of postures, thereby creating different loading conditions on the links, a multi-posture design criteria is implemented to provide a more uniform stiffness and strength over the range of possible postures. Finite element based performance criteria are developed which facilitate the simultaneous maximization of specific stiffness and strength. Three application examples on a SCARA class arm illustrate the dramatic potential for simultaneous improvements in specific stiffness and specific strength. The significance of multiple postures on the optimal design, the merits of tapered versus straight link shapes, and the relation of maximum stiffness to maximum strength, are also examined.
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Mullen, Christopher, and Soobum Lee. "Optimization of an Electromagnetic Energy Harvesting Backpack Under Actual Walking and Running Scenarios." In ASME 2016 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/smasis2016-9291.

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Energy harvesting technology can provide a renewable, portable power source for soldiers who rely solely on battery power in the field. Electromagnetic energy harvesters scavenge energy from wasted kinematic and vibration energy in human motion. The motion of interest in this paper is vertical hip displacement during human gait that acts as a base excitation. The placement of a permanent magnet based linear generator mounted in a backpack can make use of this excitation that results in relative motion of the magnet to the coil of copper wire, which induces an electric current. This current can be used to charge a battery or capacitor bank installed on the backpack to power portable electronic devices, thereby reducing the need for extra batteries and overall battery weight. The purpose of this research is to use a multi-variable optimization algorithm to identify an optimal coil and magnet layout for power maximization. Results from this study will pave the way for a more efficient energy harvesting backpack while providing better insight into the efficiency of magnet and coil layout for various applications for electromagnetic power generation from vibration.
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Al Selaiti, Iman, Maged Mabrook, Mohammad Faizul Hoda, Luigi Saputelli, Hafez Hafez, Richard Mohan, Joshua Pires, Jyotsna Asarpota, and Cristina Hernandez. "Countrywide Integrated Capacity Model – Enabling Production Planning and Performance Management Leveraging Big Data and Digitization of Engineering Workflows." In SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/206293-ms.

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Abstract Production planning and performance management imply diverse challenges, mainly when dealing at corporate level in an integrated operating company. Production forecast considers technical capacities, available capacities, and operationally agreed target capacities. Such complex process may hinder taking advantage of market opportunities at the right time. Proactive scenario management and information visibility across the organization are key for success. This paper intends to share the lessons learned while rolling out a countrywide integrated capacity model solution supporting corporate production planning and performance management. The rollout processes aimed at digitizing the monthly and yearly production forecasting. In addition, these processes shall enable formulating proactive scenarios for avoiding shortfalls, maximizing gas throughput, production ramp up, and minimizing operating cost from existing capacity. Abu Dhabi's Integrated Capacity Model is an integrated production planning and optimization system relying on a large-scale subsurface-to-surface integrated asset model system; in this paper, we focus on the incremental progress of the challenges derived from the various rollout efforts. The rollout of such a complex solution relies on basic tenets for managing the change across a large organization. The first tactic is about continuous stakeholder engagement through value demonstration and capabilities building. Engagement is achieved by continuously providing information about proactive shortfall and opportunity identification within the installed asset capacity. Monthly asset reviews provide the basis for user interaction and initiate the basis for establishing ad-hoc production maximization scenarios. Establishing a data governance and performance metrics were also key for embedding the solution in the business processes. The solution delivers tangible and intangible value. From the tangible point of view, it contributes to production efficiency gains by compensating during specific proactively identified shortfalls and after-the-fact events. As a result, our solution has been instrumental in deriving cost reduction scenarios and profitability gains due to optimum GOR management. In addition, the system use has reported various intangible gains in terms of better data utilization, enhanced corporate database quality and reduced overall human load in managing production capacity. The solution described in the paper implements a simpler way the production planning and performance management at corporate level in a large integrated operating company. The in-house developed tool and its implementation is a novel approach in terms of integration, complexity, and practical application to the fields in Abu Dhabi.
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Barsoum, Maged F., Christopher Jones, and Michael Fitz. "Constellation Design via Capacity Maximization." In 2007 IEEE International Symposium on Information Theory. IEEE, 2007. http://dx.doi.org/10.1109/isit.2007.4557486.

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Goguri, Sairam, Raghuraman Mudumbai, D. Richard Brown, Soura Dasgupta, and Upamanyu Madhow. "Capacity maximization for distributed broadband beamforming." In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2016. http://dx.doi.org/10.1109/icassp.2016.7472316.

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Fanghänel, Alexander, Sascha Geulen, Martin Hoefer, and Berthold Vöcking. "Online capacity maximization in wireless networks." In the 22nd ACM symposium. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1810479.1810499.

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Reports on the topic "Capacity Maximization and Optimization"

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Koperna, George J., Jack Pashin, and Peter Walsh. SECARB Commercial Scale CO2 Injection and Optimization of Storage Capacity in the Southeastern United States. Office of Scientific and Technical Information (OSTI), October 2017. http://dx.doi.org/10.2172/1405324.

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Bell, Gary, and Duncan Bryant. Red River Structure physical model study : bulkhead testing. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/40970.

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The US Army Corps of Engineers, St. Paul District, and its non-federal sponsors are designing and constructing a flood risk management project that will reduce the risk of flooding in the Fargo-Moorhead metropolitan area. There is a 30-mile long diversion channel around the west side of the city of Fargo, as well as a staging area that will be formed upstream of a 20-mile long dam (referred to as the Southern Embankment) that collectively includes an earthen embankment with three gated structures: the Diversion Inlet Structure, the Wild Rice River Structure, and the Red River Structure (RRS). A physical model has been constructed and analyzed to assess the hydraulic conditions near and at the RRS for verification of the structure’s flow capacity as well as optimization of design features for the structure. This report describes the modeling techniques and instrumentation used in the investigation and details the evaluation of the forces exerted on the proposed bulkheads during emergency operations for the RRS.
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