Two-Scale Stochastic Control for Multipoint Communication Systems with Renewables

TL;DR

This paper introduces a two-scale stochastic control framework for renewable-powered multi-point communication systems, optimizing energy management and costs while ensuring quality of service in a sustainable manner.

Contribution

It proposes a novel two-scale online control method using Lyapunov optimization for smart-grid powered CoMP systems with renewables and imperfect storage.

Findings

Proposed method achieves near-optimal energy cost minimization.

Ensures QoS requirements are met in dynamic environments.

Validated through numerical simulations demonstrating effectiveness.

Abstract

Increasing threats of global warming and climate changes call for an energy-efficient and sustainable design of future wireless communication systems. To this end, a novel two-scale stochastic control framework is put forth for smart-grid powered coordinated multi-point (CoMP) systems. Taking into account renewable energy sources (RES), dynamic pricing, two-way energy trading facilities and imperfect energy storage devices, the energy management task is formulated as an infinite-horizon optimization problem minimizing the time-average energy transaction cost, subject to the users' quality of service (QoS) requirements. Leveraging the Lyapunov optimization approach as well as the stochastic subgradient method, a two-scale online control (TS-OC) approach is developed for the resultant smart-grid powered CoMP systems. Using only historical data, the proposed TS-OC makes online control decisions at two timescales, and features a provably feasible and asymptotically near-optimal solution. Numerical tests further corroborate the theoretical analysis, and demonstrate the merits of the proposed approach.