Perez-Neira / Realp Campalans | Cross-Layer Resource Allocation in Wireless Communications | E-Book | sack.de
E-Book

E-Book, Englisch, 192 Seiten

Perez-Neira / Realp Campalans Cross-Layer Resource Allocation in Wireless Communications

Techniques and Models from PHY and MAC Layer Interaction
1. Auflage 2010
ISBN: 978-0-08-092088-7
Verlag: Elsevier Science & Techn.
Format: EPUB
Kopierschutz: 6 - ePub Watermark

Techniques and Models from PHY and MAC Layer Interaction

E-Book, Englisch, 192 Seiten

ISBN: 978-0-08-092088-7
Verlag: Elsevier Science & Techn.
Format: EPUB
Kopierschutz: 6 - ePub Watermark



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.* Gives a full description of the characteristics of the PHY layer that promote efficient resource allocation strategies
* Gives special emphasis on cross-layer design for spatial diversity schemes
* Provides a framework for interaction between the PHY and MAC layers, their parameters of performance and their relationship
* Presents resource allocation as a cross-layer design based on an optimization of MAC layer parameters with an accurate model of the PHY layer

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Weitere Infos & Material


1;Front cover;1
2;Cross-layer resource allocation in wireless communications;4
3;Copyright page;5
4;Contents;6
5;Preface;10
6;Acknowledgements;12
7;List of figures;14
8;List of tables;20
9;List of acronyms;22
10;Chapter 1 Introduction;24
10.1;1.1 The need for a general framework for cross-layer design in wireless systems;24
10.2;1.2 Measuring performance in cross-layer design;26
10.2.1;1.2.1 The spectral efficiency;26
10.2.2;1.2.2 The delay;28
10.3;1.3 Considering multiple antennas;29
10.4;1.4 Considering Orthogonal Frequency Division Multiple Access (OFDMA);30
10.5;1.5 Book structure;31
10.6;References;33
11;Chapter 2 Different views of spectral efficiency;36
11.1;2.1 The capacity;38
11.2;2.2 Digital data modulation;38
11.3;2.3 The bit error rate (BER);39
11.4;2.4 Channel coding;40
11.5;2.5 The packet error rate (PER);41
11.5.1;2.5.1 Analytical approximation of PER curves;43
11.6;2.6 The throughput;44
11.7;2.7 Link adaptation;47
11.7.1;2.7.1 Analytical approximation of throughput envelope;49
11.7.2;2.7.2 Quality of service requirements;50
11.8;2.8 The average spectral efficiency;52
11.9;2.9 Summary;54
11.10;References;54
12;Chapter 3 The cross-layer resource allocation problem;58
12.1;3.1 Allocating resources: time, power, space and frequency;59
12.2;3.2 Signal model for multi-user SIMO multiple access channel;60
12.2.1;3.2.1 The successive interference cancellation (SIC) receiver;62
12.3;3.3 Signal model for multi-user MISO broadcast channel;63
12.4;3.4 The resource allocation policy definition;65
12.5;3.5 The spectral efficiency region and the optimal resource allocation policy;66
12.6;3.6 A particular case: the capacity region;72
12.7;3.7 Summary;75
12.8;3.8 Annex: Examples of signal processing techniques;76
12.8.1;3.8.1 The bank of matched filters;76
12.8.2;3.8.2 The zero forcing (ZF) beamformer;76
12.8.3;3.8.3 The minimum mean square error (MMSE) beamformer;77
12.9;References;78
13;Chapter 4 Cross-layer resource allocation in SISO systems;80
13.1;4.1 Mud scheduling: the optimal policy;81
13.1.1;4.1.1 Average power constraints;83
13.1.2;4.1.2 Instantaneous power constraints;84
13.2;4.2 Cross-layer approach to MUD scheduling;87
13.2.1;4.2.1 The average spectral efficiency region of MUD scheduling;87
13.2.2;4.2.2 An example of average spectral efficiency region in homogeneous networks;89
13.2.3;4.2.3 An example of average spectral efficiency region in heterogeneous networks;90
13.3;4.3 Total average throughput in networks with HMUD;92
13.3.1;4.3.1 HMUD and feedback information;98
13.4;4.4 Summary;101
13.5;References;102
14;Chapter 5 Cross-layer resource allocation in SIMO systems;104
14.1;5.1 Cross-layer resource allocation with a ZF beamformer;106
14.2;5.2 The average throughput region of spatial multiplexing and scheduling;109
14.3;5.3 The total average throughput of spatial multiplexing and scheduling;113
14.4;5.4 Low complexity spatial multiplexing and scheduling policy;117
14.4.1;5.4.1 A closed form approximation for the average throughput in Rayleigh fading channels;119
14.5;5.5 Summary;124
14.6;References;126
15;Chapter 6 Cross-layer resource allocation in MISO systems;128
15.1;6.1 Cross-layer resource allocation with a ZF beamformer;130
15.1.1;6.1.1 The optimal power allocation p[sup(*)][sub(?)](H[sub(K)]) with a ZF beamformer;132
15.1.2;6.1.2 The optimal spatial multiplexing and scheduling set K[sup(*)][sub(?)](H) with a ZF beamformer;135
15.1.3;6.1.3 The average spectral efficiency region and the total average spectral efficiency;135
15.2;6.2 Low complexity spatial multiplexing and scheduling policy;139
15.2.1;6.2.1 A closed form approximation for the average throughput in Rayleigh fading channels;141
15.3;6.3 Summary;144
15.4;6.4 Annex: Water-filling algorithm with a ZF beamformer;145
15.5;References;146
16;Chapter 7 Different views of delay in resource allocation for wireless systems;148
16.1;7.1 The delay metrics;149
16.1.1;7.1.1 The instantaneous delay;150
16.1.2;7.1.2 Instantaneous delay variation;150
16.1.3;7.1.3 Average delay;151
16.1.4;7.1.4 Worst-case delay;152
16.2;7.2 Sources of delay;152
16.2.1;7.2.1 The access delay;153
16.2.2;7.2.2 The queueing delay;154
16.3;7.3 Access delay on resource allocation;154
16.3.1;7.3.1 RR scheduling;155
16.3.2;7.3.2 Spatial multiplexing and scheduling with CSI;158
16.3.3;7.3.3 Proportional fair scheduling;159
16.3.4;7.3.4 Frame division scheduling;162
16.4;7.4 Queueing delay on resource allocation;163
16.4.1;7.4.1 Queueing delay parameters;164
16.4.1.1;7.4.1.1 The arrival process;165
16.4.1.2;7.4.1.2 Service time distribution;165
16.4.1.3;7.4.1.3 The available number of links;166
16.4.1.4;7.4.1.4 Queue's maximum allowed length;166
16.4.1.5;7.4.1.5 The total number of users in the system (Nt);167
16.4.1.6;7.4.1.6 The service policy;167
16.4.2;7.4.2 Queueing delay and stability consideration;168
16.5;7.5 Summary;170
16.6;References;171
17;Chapter 8 Orthogonal frequency division multiplexing;174
17.1;8.1 OFDM and OFDMA;174
17.1.1;8.1.1 Basic signal model;176
17.1.2;8.1.2 Resource allocation;177
17.2;8.2 MIMO–OFDMA;179
17.3;8.3 Summary;182
17.4;References;183
18;Index;186
18.1;A;186
18.2;B;186
18.3;C;186
18.4;D;186
18.5;F;186
18.6;G;186
18.7;H;186
18.8;I;186
18.9;K;186
18.10;L;187
18.11;M;187
18.12;N;187
18.13;O;187
18.14;P;187
18.15;Q;187
18.16;R;187
18.17;S;187
18.18;T;188
18.19;U;188
18.20;W;188
18.21;Z;188



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