Resource Allocation in Multiuser Multicarrier Wireless Systems

By: Ian C. Wong, Brian Evans

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Hardcover | 6 November 2007

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140 Pages

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23.39 x 15.6 x 0.97

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Many algorithms have already been proposed in the past to solve the problem of allocating resources in a multi-user multicarrier wireless system. Due to the difficulty of the problem, most of the previous work in this area has focused on developing suboptimal heuristics without performance guarantees.

Resource Allocation in Multiuser Multicarrier Wireless Systems proposes a unified algorithmic framework based on dual optimization techniques that have complexities that are linear in the number of subcarriers and users, and that achieve negligible optimality gaps in standards-based numerical simulations. Adaptive algorithms based on stochastic approximation techniques are also proposed, which are shown to achieve similar performance with even much lower complexity.

Key Features

With theoretical derivations, practical algorithms, and complexity analysis this book makes an accessible reference for researchers and industry practioners alike

All the algorithms proposed are clearly presented in concise block diagrams allowing the reader to implement these algorithms quite easily in the software of their choice

The results of each section of the book are based on the 3GPP-LTE standard - a fourth generation cellular standard of timely importance

Presents chapter on the least complex algorithms that still achieve stochastically optimal results without the need for channel distribution information

The section on future work presents several relevant avenues for further investigation of interest to researchers in the field

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Introduction	p. 1
Next-generation Wireless Communication Systems	p. 2
Evolution of Cellular Standards to 3GPP-LTE	p. 3
Evolution of Broadband Access Standards to IEEE 802.16e	p. 6
Orthogonal Frequency Division Multiple Access	p. 8
Overview of OFDM	p. 9
Overview of OFDMA	p. 10
Summary	p. 12
Thesis Statement	p. 12
Contributions	p. 13
Organization	p. 14
Nomenclature	p. 14
Background	p. 17
Introduction	p. 17
Review of Related Work	p. 17
Scheduling in Wireless Networks	p. 17
Multiuser Information Theory	p. 18
Physical Layer (PHY) Transmit Optimization	p. 18
PHY-MAC Cross-layer Optimization	p. 21
Comparison of Related Work	p. 21
A New Approach to OFDMA Resource Allocation	p. 22
System Model	p. 24
OFDMA Signal Model	p. 24
Multiuser Statistical Fading Channel Model	p. 24
Optimization Variables	p. 27
PHY-MAC Interaction	p. 29
Conclusion	p. 29
Weighted-sum rate Maximization with Perfect CSI	p. 31
Introduction	p. 31
Continuous Rate Maximization with perfect CSI and CDI	p. 31
Problem Formulation	p. 31
Dual Optimization Framework	p. 33
Numerical Evaluation of the Expected Dual	p. 36
Optimal Subcarrier and Power Allocation	p. 37
Complexity Analysis	p. 38
Instantaneous Weighted Sum Rate Maximization	p. 38
constant power Allocation	p. 41
Analysis of the Duality Gap	p. 41
Discrete Rate Maximization with perfect CSI and CDI	p. 46
Problem Formulation	p. 46
Dual Optimization Framework	p. 46
Numerical Evaluation of the Expected Dual	p. 48
Optimal Discrete Rate, Subcarrier, and Power Allocation	p. 49
Numerical Results	p. 50
Continuous Rate Allocation	p. 51
Discrete Rate Allocation	p. 54
Complexity Comparison	p. 56
Conclusion	p. 57
Weighted-Sum Rate Maximization with Partial CSI	p. 59
Introduction	p. 59
Partial Channel State Information Model	p. 60
Continuous Rate Maximization with Partial CSI and CDI	p. 62
Problem Formulation	p. 62
Dual Optimization Framework	p. 63
Power Allocation Function Approximation	p. 64
Optimal Subcarrier and Power Allocation	p. 65
Complexity Analysis	p. 66
Discrete Rate Maximization with Partial CSI and CDI	p. 66
Closed-form average BER function	p. 67
Closed-form power allocation function	p. 68
Closed-form average rate function	p. 68
Problem Formulation	p. 69
Dual Optimization Framework	p. 70
Complexity Analysis	p. 71
Numerical Results	p. 72
Continuous Rate Case	p. 72
Discrete Rate Case	p. 72
Complexity Comparison	p. 76
Conclusion	p. 76
Rate Maximization with Proportional Rate Constraints	p. 79
Introduction	p. 79
Proportional Rate Maximization with Perfect CSI and CDI	p. 80
Problem Formulation	p. 80
Dual Optimization Framework	p. 81
Computation of the Per-user Ergodic Rate	p. 83
Complexity Analysis	p. 85
Extension to Discrete Rates and/or Imperfect CSI	p. 85
Adaptive algorithms for Rate Maximization without CDI	p. 85
Overview of Stochastic Approximation	p. 85
Stochastic Approximation Solution to the Dual Problem	p. 86
Proof of Convergence	p. 88
Complexity Analysis	p. 90
Extension to Other Formulations	p. 90
Results and Discussion	p. 91
Conclusion	p. 93
Conclusion	p. 95
Summary	p. 95
Future Work	p. 97
Other Formulations	p. 97
MAC-PHY Cross-layer Scheduling	p. 99
MIMO-OFDMA	p. 99
Multi-cell OFDMA	p. 99
Multi-hop OFDMA	p. 100
Derivation of the inverse function (3.10) of g_m,k (3.8)	p. 101
Proof of Prop.3.1	p. 103
Derivation of (3.35)	p. 105
Derivation of the cdf (3.39) and pdf (3.40) of g^{m ,k} (3.38)	p. 107
Derivation of (4.30)	p. 109
References	p. 111
Index	p. 117
Table of Contents provided by Publisher. All Rights Reserved.

Resource Allocation in Multiuser Multicarrier Wireless Systems

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