PROJECT TITLE :

A Lyapunov Optimization Approach for Green Cellular Networks With Hybrid Energy Supplies

ABSTRACT:

Powering cellular networks with renewable energy sources via energy harvesting (EH) have recently been proposed as a promising answer for green networking. But, with intermittent and random energy arrivals, it is challenging to produce satisfactory quality of service (QoS) in EH networks. To get pleasure from the greenness brought by EH whereas overcoming the instability of the renewable energy sources, hybrid energy supply (HES) networks that are powered by both EH and the electric grid have emerged as a brand new paradigm for green communications. During this paper, we can propose new style methodologies for HES inexperienced cellular networks with the assistance of Lyapunov optimization techniques. The network service price, which addresses both the grid energy consumption and achievable QoS, is adopted as the performance metric, and it's optimized via base station assignment and power control (BAPC). Our main contribution may be a low-complexity online algorithm to minimize the long-term average network service cost, specifically, the Lyapunov optimization-based BAPC (LBAPC) algorithm. One main advantage of this algorithm is that the choices depend solely on the instantaneous facet info while not requiring distribution info of channels and EH processes. To work out the network operation, we only would like to resolve a deterministic per-time slot downside, for which an efficient inner–outer optimization algorithm is proposed. Moreover, the proposed algorithm is shown to be asymptotically optimal via rigorous analysis. Finally, sample simulation results are presented to verify the theoretical analysis and validate the effectiveness of the proposed algorithm.