Cover image for Cross-layer resource allocation in wireless communications : techniques and models from PHY and MAC layer interaction
Title:
Cross-layer resource allocation in wireless communications : techniques and models from PHY and MAC layer interaction
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Publication Information:
Amsterdam, The Netherland : Academic Press, 2009
Physical Description:
xxii, 165 p. : ill. ; 24 cm.
ISBN:
9780123741417
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30000010186271 TK5103.2 P474 2009 Open Access Book Book
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Summary

Summary

Cross-Layer Resource Allocation in Wireless Communications offers practical techniques and models for the design and optimisation of cross-layer resource allocation - one of the hottest topics in wireless communications.

Resource allocation in wireless networks is traditionally approached either through information theory or communications networks. To break down the barriers between these distinct approaches, this book bridges the physical and network layers by providing cross-layer resource allocation techniques, models, and methodologies. Its unique approach allows optimisation of network resources and will enable engineers to improve signal quality, enhance network and spectrum utilization, increase throughput, and solve the problem of shadowing. Topics covered include different views of spectral efficiency, the role of spatial diversity, of delay in resource allocation, and possible extensions to OFDMA systems.

This will be an ideal reference on cross-layer resource allocation between the PHY and MAC layers for R&D and network design engineers and researchers in universities dealing with sensor networks and cognitive systems.


Author Notes

Ana I. Perez-Neira is Professor of Signal Theory and Communication at Technical University of Catalonia (UPC), Barcelona, and Research Associate at Centre Tecnologic de Telecomunicacions de Catalunya Castelldefels (CTTC)


Table of Contents

Prefacep. ix
Acknowledgementsp. xi
List of Figuresp. xiii
List of Tablesp. xix
List of Acronymsp. xxi
1 Introductionp. 1
1.1 The need for a general framework for cross-layer design in wireless systemsp. 1
1.2 Measuring performance in cross-layer designp. 3
1.2.1 The spectral efficiencyp. 3
1.2.2 The delayp. 5
1.3 Considering multiple antennasp. 6
1.4 Considering Orthogonal Frequency Division Multiple Access (OFDMA)p. 7
1.5 Book structurep. 8
Referencesp. 10
2 Different views of spectral efficiencyp. 13
2.1 The capacityp. 15
2.2 Digital data modulationp. 15
2.3 The bit error rate (BER)p. 16
2.4 Channel codingp. 17
2.5 The packet error rate (PER)p. 18
2.5.1 Analytical approximation of PER curvesp. 20
2.6 The throughputp. 21
2.7 Link adaptationp. 24
2.7.1 Analytical approximation of throughput envelopep. 26
2.7.2 Quality of service requirementsp. 27
2.8 The average spectral efficiencyp. 29
2.9 Summaryp. 31
Referencesp. 31
3 The cross-layer resource allocation problemp. 35
3.1 Allocating resources: time, power, space and frequencyp. 36
3.2 Signal model for multi-user SIMO multiple access channelp. 37
3.2.1 The successive interference cancellation (SIC) receiverp. 39
3.3 Signal model for multi-user MISO broadcast channelp. 40
3.4 The resource allocation policy definitionp. 42
3.5 The spectral efficiency region and the optimal resource allocation policyp. 43
3.6 A particular case: the capacity regionp. 49
3.7 Summaryp. 52
3.8 Annex: Examples of signal processing techniquesp. 53
3.8.1 The bank of matched filtersp. 53
3.8.2 The zero forcing (ZF) beamformerp. 53
3.8.3 The minimum mean square error (MMSE) beamformerp. 54
Referencesp. 55
4 Cross-layer resource allocation in SISO systemsp. 57
4.1 Mud scheduling: the optimal policyp. 58
4.1.1 Average power constraintsp. 60
4.1.2 Instantaneous power constraintsp. 61
4.2 Cross-layer approach to MUD schedulingp. 64
4.2.1 The average spectral efficiency region of MUD schedulingp. 64
4.2.2 An example of average spectral efficiency region in homogeneous networksp. 66
4.2.3 An example of average spectral efficiency region in heterogeneous networksp. 67
4.3 Total average throughput in networks with HMUDp. 69
4.3.1 HMUD and feedback informationp. 75
4.4 Summaryp. 78
Referencesp. 79
5 Cross-layer resource allocation in SIMO systemsp. 81
5.1 Cross-layer resource allocation with a ZF beamformerp. 83
5.2 The average throughput region of spatial multiplexing and schedulingp. 86
5.3 The total average throughput of spatial multiplexing and schedulingp. 90
5.4 Low complexity spatial multiplexing and scheduling policyp. 94
5.4.1 A closed form approximation for the average throughput in Rayleigh fading channelsp. 96
5.5 Summaryp. 101
Referencesp. 103
6 Cross-layer resource allocation in MISO systemsp. 105
6.1 Cross-layer resource allocation with a ZF beamformerp. 107
6.1.1 The optimal power allocation p*[subscript theta](H[subscript K]) with a ZF beamformerp. 109
6.1.2 The optimal spatial multiplexing and scheduling set K*[subscript theta](H) with a ZF beamformerp. 112
6.1.3 The average spectral efficiency region and the total average spectral efficiencyp. 112
6.2 Low complexity spatial multiplexing and scheduling policyp. 116
6.2.1 A closed form approximation for the average throughput in Rayleigh fading channelsp. 118
6.3 Summaryp. 121
6.4 Annex: Water-filling algorithm with a ZF beamformerp. 122
Referencesp. 123
7 Different views of delay in resource allocation for wireless systemsp. 125
7.1 The delay metricsp. 126
7.1.1 The instantaneous delayp. 127
7.1.2 Instantaneous delay variationp. 127
7.1.3 Average delayp. 128
7.1.4 Worst-case delayp. 129
7.2 Sources of delayp. 129
7.2.1 The access delayp. 130
7.2.2 The queueing delayp. 131
7.3 Access delay on resource allocationp. 131
7.3.1 RR schedulingp. 132
7.3.2 Spatial multiplexing and scheduling with CSIp. 135
7.3.3 Proportional fair schedulingp. 136
7.3.4 Frame division schedulingp. 139
7.4 Queueing delay on resource allocationp. 140
7.4.1 Queueing delay parametersp. 141
7.4.1.1 The arrival processp. 142
7.4.1.2 Service time distributionp. 142
7.4.1.3 The available number of linksp. 143
7.4.1.4 Queue's maximum allowed lengthp. 143
7.4.1.5 The total number of users in the system (Nt)p. 144
7.4.1.6 The service policyp. 144
7.4.2 Queueing delay and stability considerationp. 145
7.5 Summaryp. 147
Referencesp. 148
8 Orthogonal frequency division multiplexingp. 151
8.1 OFDM and OFDMAp. 151
8.1.1 Basic signal modelp. 153
8.1.2 Resource allocationp. 154
8.2 Mimo-Ofdmap. 156
8.3 Summaryp. 159
Referencesp. 160
Indexp. 163