Resource allocation for OFDMA systems /
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| Author / Creator: | Chen, Chen. |
|---|---|
| Imprint: | Cham : Springer, ©2020. |
| Description: | 1 online resource (140 pages) |
| Language: | English |
| Series: | Wireless Networks Ser. Wireless networks (Springer (Firm)) |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/12601583 |
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| 245 | 1 | 0 | |a Resource allocation for OFDMA systems / |c Chen Chen, Xiang Cheng. |
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| 300 | |a 1 online resource (140 pages) | ||
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| 505 | 0 | |a Intro; Preface; Acknowledgements; Contents; Chapter 1: Introduction; 1.1 OFDM/OFDMA Technology; 1.2 Radio Resource Allocation Technology; 1.3 The Organizational Structure; References; Chapter 2: Overview of OFDMA and MIMO Systems; 2.1 Review; 2.2 Channel Characteristics of Mobile Communication; 2.2.1 Large-Scale Fading; 2.2.2 Mesoscale Decline; 2.2.3 Small-Scale Decline; 2.2.4 Channel Interference; 2.3 Multiuser MIMO; 2.3.1 Signal Detection Method; 2.3.2 Single-User Selection; 2.3.3 Multiuser Selection; 2.4 OFDMA System; 2.4.1 OFDM Principle; 2.4.2 Unicast and Multicast OFDMA Systems | |
| 504 | |a ReferencesChapter 3: Remarks on Resource Allocation; 3.1 Review; 3.2 Dynamic Spectrum Sharing Model and Method Overview; 3.2.1 Concept; 3.2.2 Dynamic Spectrum Sharing Method and Classification; 3.2.3 Current Research Hotspot; 3.3 The Theory of OFDMA System Resource Allocation; 3.3.1 Optimization Theory; Convex Optimization Problems; Linear Programming Problems; Integer Planning Problems; 3.3.2 Optimal Solution Algorithm; The KKT (Karush-Kuhn-Tucker) Point for Optimization Problems; Gradient Method; Interior Point Method; Enumeration Algorithm; Branch-and-Bound Method | ||
| 505 | 8 | |a 3.3.3 Suboptimal Solution AlgorithmRelaxation Constraint Algorithm; Duality Algorithm; Alternate Algorithm; Greedy Algorithm; References; Chapter 4: Resource Allocation for OFDMA Systems; 4.1 Introduction; 4.1.1 Resource Allocation for Multicast OFDMA Systems; 4.1.2 Resource Allocation for MIMO-OFDMA Systems; 4.1.3 Resource Allocation for Energy Efficiency in OFDMA Systems; 4.2 Adaptive Resource Allocation for Multicast OFDMA Systems with Guaranteed BER and Rate; 4.2.1 System Model and Problem Formulation; 4.2.2 Optimal Algorithm; 4.2.3 Suboptimal Algorithm; Bit Loading | |
| 505 | 8 | |a Target Symbol Error Rate Adjusting4.2.4 Simulation Results; 4.2.5 Conclusion; 4.3 Subcarrier and Power Allocation for Multiuser MIMO-OFDM Systems with Various Detectors; 4.3.1 System Model and Problem Formulation; 4.3.2 Subcarrier and Power Allocation; ML Detector; Linear Detector; SIC Detector; 4.3.3 Simulation Results; 4.3.4 Conclusion; 4.4 Low-Complexity Energy-Efficient Subcarrier Assignment in Uplink OFDMA Systems; 4.4.1 System Model and Problem Formulation; 4.4.2 Energy-Efficient Subcarrier Assignment; Analysis of Energy Efficiency with Subcarriers | |
| 505 | 8 | |a Energy-Efficient Subcarrier Assignment Algorithm4.4.3 Simulation Results; 4.4.4 Conclusion; 4.5 Summary; References; Chapter 5: Dealing with Imperfect CSI; 5.1 Introduction; 5.2 Channel Model with Imperfect CSI; 5.2.1 Nosie and Estimation Error; 5.2.2 CSI Feedback Delay; 5.2.3 Finite-Rate Feedback of Downlink CSI; 5.3 Downlink Ergodic Throughput Maximization for OFDMA Systems with Feedback Channel Capacity Constraints; 5.3.1 Problem Formulation; 5.3.2 Optimal Solution; 5.3.3 Suboptimal Algorithm; Subcarrier Allocation; Power Allocation; 5.3.4 Simulation Results; 5.3.5 Conclusion | |
| 500 | |a 5.4 Resource Allocation for Maximizing Outage Throughput in OFDMA Systems with Finite-Rate Feedback | ||
| 520 | |a This book introduces the sources and historic collection campaigns of resource allocation in wireless communication systems. The unique characteristics of MIMO-OFDMA systems are thoroughly studied and summarized. Remarks on resource allocation and spectrum sharing are also presented, which demonstrate the great value of resource allocation techniques, but also introduce distinct challenges of resource allocation in MIMO-OFDMA systems. Novel resource allocation techniques for OFDMA Systems are surveyed from various applications (e.g., for unicast, or multicast with Guaranteed BER and Rate, subcarrier and power allocation with various detectors, low-complexity energyefficient resource allocation, etc.) in this book. Due to the high mobility and low latency requirements of 5G wireless communications, this book discusses how to deal with the imperfect CSI. It also discusses how to deal with e.g., throughput maximization, outage probabilities maximization and guarantee, energy efficiency, physical-layer security issues with feedback channel capacity constraints, in order to characterize and understand the applications of practical scenes. This book will target professionals & researchers working in the fields of Wireless Communications and Networking, Resource Allocation and Transmissions. Advanced-level students in electrical engineering and computer science will also find this book useful as a secondary textbook. | ||
| 650 | 0 | |a Radio resource management (Wireless communications) |0 http://id.loc.gov/authorities/subjects/sh2008004985 | |
| 650 | 0 | |a Orthogonal frequency division multiplexing. |0 http://id.loc.gov/authorities/subjects/sh2005002695 | |
| 650 | 7 | |a Orthogonal frequency division multiplexing. |2 fast |0 (OCoLC)fst01737210 | |
| 650 | 7 | |a Radio resource management (Wireless communications) |2 fast |0 (OCoLC)fst01745903 | |
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Cheng, Xiang |c (Researcher in wireless communication) |0 http://id.loc.gov/authorities/names/no2016113981 | |
| 776 | 0 | 8 | |i Print version: |a Chen, Chen. |t Resource Allocation for OFDMA Systems. |d Cham : Springer, ©2019 |z 9783030193911 |
| 830 | 0 | |a Wireless networks (Springer (Firm)) |0 http://id.loc.gov/authorities/names/no2017034954 | |
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| 928 | |t Library of Congress classification |a TK5103.4873 .R47 2020eb |l Online |c UC-FullText |u https://link.springer.com/10.1007/978-3-030-19392-8 |z Springer Nature |g ebooks |i 12617190 | ||