上海交通大学学报（英文版） ›› 2014, Vol. 19 ›› Issue (3): 287-293.doi: 10.1007/s12204-014-1501-y
Stochastic Optimization in Cooperative Relay Networks for Revenue Maximization
LU Hong-fang1,2* (吕红芳), ZHANG Hao1,3 (张浩)
- (1. CIMS Research Center, Tongji University, Shanghai 201804, China; 2. College of Electric Engineering, Shanghai Dianji University, Shanghai 200240, China; 3. College of Automatic Engineering, Shanghai University of Electric Power, Shanghai 200090, China)
Stochastic Optimization in Cooperative Relay Networks for Revenue Maximization
LU Hong-fang1,2* (吕红芳), ZHANG Hao1,3 (张浩)
- (1. CIMS Research Center, Tongji University, Shanghai 201804, China; 2. College of Electric Engineering, Shanghai Dianji University, Shanghai 200240, China; 3. College of Automatic Engineering, Shanghai University of Electric Power, Shanghai 200090, China)
摘要：
In cellular networks, cooperative relaying is an economic and promising way to enlarge the network capacity and coverage. In the case that multiple users and multiple relays are taken into account, efficient resource allocation is important in such networks. In this paper, we consider the joint relay power control with amplifyand- forward (AF) strategy and dynamic pricing for uplink cellular networks in order to maximize the network administrator’s system revenue. The system revenue is associated with pricing strategies and mobile users’ random data request, which is supported by the relay assisted transmission. To deal with the problem of the coupling in pricing and relay resource allocation, we utilize Lyapunov optimization techniques to design online pricing and relay power control without any statistic information of random events in networks. Theoretical analysis shows that the proposed algorithm can achieve a near-optimal performance and simulation results also validate its effectiveness and robustness.
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