Multi-rate control policies for elastic traffic in CDMA networks

In this paper a rate control scheme for downlink packet transmission in CDMA networks is proposed based on both the queue lengths and the channel states of mobile users. We are interested in optimal rate allocation policies for throughput maximisation over time and thus we formulate the problem as a discrete stochastic dynamic program. This dynamic program is exponentially complex in the number of users, which renders it impractical and therefore we use an approximate dynamic programming (DP) algorithm to obtain sub-optimal rate allocation policies in real time. The numerical results reveal that the proposed algorithm significantly outperforms a number of different baseline greedy heuristics.In this paper a rate control scheme for downlink packet transmission in CDMA networks is proposed based on both the queue lengths and the channel states of mobile users. We are interested in optimal rate allocation policies for throughput maximisation over time and thus we formulate the problem as a discrete stochastic dynamic program. This dynamic program is exponentially complex in the number of users, which renders it impractical and therefore we use an approximate dynamic programming (DP) algorithm to obtain sub-optimal rate allocation policies in real time. The numerical results reveal that the proposed algorithm significantly outperforms a number of different baseline greedy heuristics.