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|a CDMA systems capacity engineering /
|c Kiseon Kim, Insoo Koo.
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|a Boston, Mass. :
|b Artech House,
|c ©2005.
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|a Includes bibliographical references and index.
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|a Print version record.
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|a Annotation
|b This hands-on practical book tackles CDMA capacity engineering, which is crucial to ensuring optimal performance of wireless networks. This book shows network engineers and operators how to quantify systems capacity so they can design resource management and capacity strategies. A full range of analytic methods for voice, data, and multimedia make this book an indispensable tool for optimizing CDMA systems.
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|a CDMA Systems Capacity Engineering -- Preface ix -- Acknowledgments xi -- Chapter 1 Introduction 1 -- 1.1 Capacity Issues 6 -- 1.2 Overview and Coverage 9 -- References 14 -- Chapter 2 System Capacity of CDMA Systems 17 -- 2.1 Introduction 17 -- 2.2 System Model and Analysis 18 -- 2.3 Single Cell CDMA Capacity 20 -- 2.4 Multiple Cell CDMA Capacity 22 -- 2.5 Conclusions 25 -- References 27 -- Chapter 3 Sensitivity Analysis in CDMA Systems 29 -- 3.1 System Model and System Capacity 30 -- 3.2 The Significance and Definitions of Sensitivity Analysis 32
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|a 3.3 Sensitivity of System Capacity with Respect to System Reliability in CDMA Cellular Systems 343.4 Conclusion 37 -- References 37 -- Chapter 4 Effect of Traffic Activity on System Capacity 39 -- 4.1 Introduction 39 -- 4.2 Traffic Modeling 40 -- 4.3 Outage Probability and System Capacity 42 -- 4.4 Effect of Traffic Activity on System Capacity 47 -- 4.5 Conclusions 51 -- References 52 -- Chapter 5 A Dynamic Resource Allocation Scheme to Efficiently Utilize System Capacity 55 -- 5.1 Introduction 56 -- 5.2 System Capacity and Remaining Resources 57
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|a 5.3 Service Rates for Throughput Maximization 585.4 The Proposed Resource Allocation Scheme 61 -- 5.5 Group Selection According to the Parameters of VBR Service Groups 64 -- 5.6 Conclusions 67 -- References 68 -- Chapter 6 Voice/Data Mixed CDMA Systems with Prioritized Services 69 -- 6.1 Introduction 69 -- 6.2 System and Traffic Models 70 -- 6.3 Erlang Capacity Analysis Under the Proposed CAC Scheme 73 -- 6.4 Numerical Example 79 -- 6.5 Conclusion 84 -- References 85 -- Chapter 7 Erlang Capacity of CDMA Systems Supporting Multiclass Services 87
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|a 7.1 Introduction 877.2 System Model and System Capacity 88 -- 7.3 Erlang Capacity for the Multimedia CDMA Systems 91 -- 7.4 Numerical Example 93 -- 7.5 Conclusion 96 -- References 98 -- Chapter 8 Erlang Capacity Under the Delay Constraint 101 -- 8.1 Introduction 101 -- 8.2 System Model 102 -- 8.3 Markov Chain Model and Blocking Probability 104 -- 8.4 Delay Distribution 108 -- 8.5 Delay Confidence 114 -- 8.6 Erlang Capacity 116 -- 8.7 Conclusions 120 -- References 121 -- Chapter 9 Multiclass CDMA Systems with a Limited Number of Channel Elements 123
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505 |
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|a 9.1 Introduction 1239.2 System Model 124 -- 9.3 Erlang Capacity for the Multimedia CDMA Systems 125 -- 9.4 Numerical Example and Discussion 129 -- 9.5 Conclusion 137 -- References 139 -- Chapter 10 Approximate Analysis Method for CDMA Systems with Multiple Sectors and Multiple FAs 141 -- 10.1 Introduction 141 -- 10.2 System Model 142 -- 10.3 Approximate Analysis Method 142 -- 10.4 Calculation Complexity of the Proposed Method 145 -- 10.5 Numerical Example 147 -- 10.6 Conclusion 151 -- References 152
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650 |
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|a Code division multiple access.
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|a Capacity theory (Mathematics)
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6 |
|a Accès multiple par différence de code.
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|a Théorie de la capacité (Mathématiques)
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|a Koo, Insoo.
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|a Kim, Kiseon.
|t CDMA systems capacity engineering.
|d Boston, Mass. : Artech House, ©2005
|z 1580538126
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