A channel-adaptive and throughput-efficient scheduling scheme in voice/data DS-CDMA networks with constrained transmission power

In this paper, we study the throughput optimization of data traffic for a power-constrained voice/data CDMA system by the scheduling of the data users. It is found that under a given received power budget and the constraints of transmission powers, the throughput of data traffic is maximized by selecting simultaneous data users and allocating powers according to the descending order of their received power capabilities, which is defined as the product between the transmission power limit and the channel gain. Based on this principle, a novel dynamic and channel adaptive scheduling is proposed to enhance the throughput performance of data traffic. The validity of the proposed scheme and its robustness to channel estimation error is verified by comparing with the conventional fair-sharing scheme and round-robin scheme via power simulation.