CDMA Systems Capacity Engineering

Kiseon Kim, I.S. Koo1580538126, 9781580538121, 9781580538138

Discusses capacity planning and engineering issues crucial tooptimizing wireless communication systems performance. Includes casestudies, a full range of analytic methods for CDMA queues, anddetailed operations scenarios. DLC: Code division multiple access.

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Table of contents :
Team-kB……Page 1
Introduction……Page 14
1.1 Capacity Issues……Page 19
1.2 Overview and Coverage……Page 22
References……Page 27
2.1 Introduction……Page 30
2.2 System Model and Analysis……Page 31
2.3 Single Cell CDMA Capacity……Page 33
2.4 Multiple Cell CDMA Capacity……Page 35
2.5 Conclusions……Page 38
References……Page 40
Sensitivity Analysis in CDMA Systems……Page 42
3.1 System Model and System Capacity……Page 43
3.2.2 Basic Definitions of Sensitivity……Page 45
3.3 Sensitivity of System Capacity with Respect to System Reliability in CDMA Cellular Systems……Page 47
References……Page 50
4.1 Introduction……Page 52
4.2 Traffic Modeling……Page 53
4.3 Outage Probability and System Capacity……Page 55
4.3.1 AILM……Page 56
4.3.2 SILM……Page 57
4.3.3 Comparison of AILM and SILM……Page 59
4.4 Effect of Traffic Activity on System Capacity……Page 60
4.4.1 Analysis Under the Same Transmission Rate……Page 61
4.4.2 Analysis Under the Same Average Rate……Page 62
4.5 Conclusions……Page 64
References……Page 65
A Dynamic Resource Allocation Scheme to Efficiently Utilize System Capacity……Page 68
5.1 Introduction……Page 69
5.2 System Capacity and Remaining Resources……Page 70
5.3 Service Rates for Throughput Maximization……Page 71
5.4 The Proposed Resource Allocation Scheme……Page 74
5.5 Group Selection According to the Parameters of VBR Service Groups……Page 77
5.6 Conclusions……Page 80
References……Page 81
6.1 Introduction……Page 82
6.2.1 System Model……Page 83
6.2.2 Traffic Model……Page 84
6.3 Erlang Capacity Analysis Under the Proposed CAC Scheme……Page 86
6.4 Numerical Example……Page 92
6.5 Conclusion……Page 97
References……Page 98
7.1 Introduction……Page 100
7.2 System Model and System Capacity……Page 101
7.3 Erlang Capacity for the Multimedia CDMA Systems……Page 104
7.4 Numerical Example……Page 106
7.5 Conclusion……Page 109
References……Page 111
8.1 Introduction……Page 114
8.2 System Model……Page 115
8.3 Markov Chain Model and Blocking Probability……Page 117
8.4 Delay Distribution……Page 121
8.5 Delay Confidence……Page 127
8.6 Erlang Capacity……Page 129
8.7 Conclusions……Page 132
References……Page 133
9.1 Introduction……Page 136
9.2 System Model……Page 137
9.3 Erlang Capacity for the Multimedia CDMA Systems……Page 138
9.4.1 Single FA Case……Page 142
9.4.2 Case of Multiple FAs and Graphic Interpretation Method……Page 146
9.5 Conclusion……Page 150
References……Page 152
10.1 Introduction……Page 154
10.3 Approximate Analysis Method……Page 155
10.4 Calculation Complexity of the Proposed Method……Page 158
10.5 Numerical Example……Page 160
10.5.1 An Interesting Observation: Two Traffic Parameters toEfficiently Approximate the Call Blocking Probability in CDMA Systems with Three Sectors……Page 161
10.6 Conclusion……Page 164
References……Page 165
11.1 Introduction……Page 166
11.2 System Model……Page 168
11.3 Channel Assignment Methods……Page 169
11.4.1 Erlang Capacity Analysis for CCCA……Page 170
11.5 Numerical Example……Page 175
11.6 Conclusion……Page 179
References……Page 180
12.1 Introduction……Page 182
12.2 System Model……Page 183
12.3 Operation Methods of Multiaccess Systems……Page 185
12.3.2 Common Operation Method……Page 186
12.4.1 Erlang Capacity Analysis for Separate Operation Method……Page 187
12.4.2 Erlang Capacity Analysis for Common Operation Method……Page 190
12.5 Numerical Results……Page 191
12.6 Conclusion……Page 196
References……Page 197
APPENDIX A The M/M/ Model……Page 200
APPENDIX B The M/M/m Loss Model……Page 202
List of Acronyms……Page 204
About the Authors……Page 206
Index……Page 208