Dynamic user association and energy control in cellular networks with renewable resources

— In recent years, there has been a growing interest in equipping base-stations with renewable resources and batteries, with an aim to reduce the energy-related operational cost for cellular networks. To fully leverage the cost-saving potential of such base-stations, the design of joint resource-allocation and energy-control algorithms that take both the traffic-level dynamics and energy-level dynamics into account is called for. In this work, we propose a joint user-association and energycontrol algorithm, where the induced operational cost can be made arbitrarily close to optimality at the expense of increased battery capacity in each base-station. The key to this algorithm is that it tries to match the traffic-profile with the energyprofile of the network, which leads to an efficient utilization of the renewable resources across the network. Simulation results show that a significant reduction in energy cost can be achieved by using our algorithm, even at a relatively small ...

• Type: Journal
• Year: 2015
• Where: CDC
• Authors: Yang Yang, Jiashang Liu, Prasun Sinha, Ness B. Shroff
• Keywords: CDC 2015, Control Systems