Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Neuro-Dynamic Programming
CDMA uplink power control as a noncooperative game
Wireless Networks
Approximate Dynamic Programming: Solving the Curses of Dimensionality (Wiley Series in Probability and Statistics)
Spatial and temporal fairness in heterogeneous HSDPA-enabled UMTS networks
EURASIP Journal on Wireless Communications and Networking - Special issue on fairness in radio resource management for wireless networks
A QoS-based dynamic queue length scheduling algorithm in multiantenna heterogeneous systems
EURASIP Journal on Wireless Communications and Networking - Special issue on advances in quality and performance assessment for future wireless communication services
Time-varying fair queueing scheduling for multicode CDMA based on dynamic programming
IEEE Transactions on Wireless Communications
A scheme for throughput maximization in a dual-class CDMA system
IEEE Journal on Selected Areas in Communications
Dynamic spreading gain control in multiservice CDMA networks
IEEE Journal on Selected Areas in Communications
A framework for uplink power control in cellular radio systems
IEEE Journal on Selected Areas in Communications
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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.