Optimal resource allocation in multiservice CDMA networks

• Published in: IEEE transactions on wireless communications Vol. 2; no. 4; pp. 811 - 821
• Main Authors: Seong-Jun Oh, Danlu Zhang, Wasserman, K.M.
• Format: Journal Article
• Language: English
• Published: Piscataway, NJ IEEE 01.07.2003; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Aggregates; Allocations; Applied sciences; Delay; Exact sciences and technology; Gain; Intelligent networks; Interference; Mathematical models; Multiaccess communication; Networks; Operation, maintenance, reliability; Optimization; Performance gain; Quality of service; Resource allocation; Resource management; Strategy; Studies; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Throughput; Transmission and modulation (techniques and equipments); Wireless communication; Wireless networks; Performance evaluation; Power gain; Wireless telecommunication; Resource allocation; Implementation; Constrained optimization; Time division multiple access; Optimal strategy; Dynamic allocation; Optimal allocation; Code division multiple access; User requirement; Numerical simulation; Transmission rate; Peak power; Service quality; Direct sequence
• ISSN: 1536-1276; 1558-2248
• DOI: 10.1109/TWC.2003.814348

This paper addresses the problem of dynamic resource allocation in a multiservice direct-sequence code-division multiple-access (DS-CDMA) wireless network supporting real-time (RT) and nonreal-time (NRT) communication services. For RT users, a simple transmission power allocation strategy is assumed that maximizes the amount of capacity available to NRT users without violating quality of service requirements of RT users. For NRT users, a joint transmission power and spreading gain (transmission rate) allocation strategy, obtained via the solution of a constrained optimization problem, is provided. The solution maximizes the aggregate NRT throughput, subject to peak transmission power constraints and the capacity constraint imposed by RT users. The optimization problem is solved in a closed form, and the resulting resource allocation strategy is simple to implement as a hybrid CDMA/time-division multiple-access strategy. Numerical results are presented showing that the optimal resource allocation strategy can offer substantial performance gains over other conventional resource allocation strategies for DS-CDMA networks.