Channel adaptive fair queueing for scheduling integrated voice and data services in multicode CDMA systems

Abstract

CDMA (code division multiple access) systems are critical building blocks of future high performance wireless and mobile computing systems. While CDMA systems are very mature for voice services, their potentials in delivering high quality data services are yet to be investigated. One of the most crucial component in an advanced wideband CDMA system is the judicious allocation of bandwidth resources to both voice and high data rate services so as to maximize utilization while satisfying the respective quality of service requirements. Specifically, in a multicode CDMA system, the problem is to intelligently allocate codes to the users' requests. While previous work in the literature has addressed this problem from a capacity point of view, the fairness aspect, which is also important from the users' point of view, is largely ignored. In this paper, we propose a new code allocation approach that is channel adaptive and can guarantee fairness with respect to the users' channel conditions. Simulation results show that out approach is more effective than the proportional fair approach.