Title :
Optimal resource allocation in multiservice CDMA networks
Author :
Oh, Seong-Jun ; Zhang, Danlu ; Wasserman, Kimberly M.
Author_Institution :
Qualcomm Inc., San Diego, CA, USA
fDate :
7/1/2003 12:00:00 AM
Abstract :
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.
Keywords :
cellular radio; code division multiple access; mobile radio; optimisation; packet radio networks; power control; quality of service; resource allocation; spread spectrum communication; DS-CDMA network; constrained optimization problem; delay performance; direct-sequence code-division multiple-access; dynamic radio resource allocation; hybrid CDMA/time-division multiple-access strategy; mobile wireless networks; multiservice network; nonreal-time communication services; optimal resource allocation; quality of service requirements; rate control; real-time communication services; spreading gain allocation strategy; throughput maximization; transmission power allocation strategy; Aggregates; Delay; Intelligent networks; Interference; Multiaccess communication; Performance gain; Quality of service; Resource management; Throughput; Wireless networks;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2003.814348