Two-Way Energy Trading and Online Planning for Fifth-Generation Communications with Renewables
It addresses the challenge of integrating energy harvesting 5G base stations with smart grids for efficient energy trading, though the approach is incremental.
The paper proposes a Lyapunov optimization-based framework for two-way energy trading and online planning in 5G networks with renewables, achieving stochastic optimization without requiring future knowledge of channels, pricing, or harvesting.
Future fifth-generation (5G) cellular networks, equipped with energy harvesting devices, are uniquely positioned to closely interoperate with smart grid. New interoperable functionalities are discussed in stochastic two-way energy trading and online planning to improve efficiency and productivity. Challenges lie in the unavailability of a-priori knowledge on future wireless channels, energy pricing and harvesting. Lyapunov optimization techniques are utilized to address the challenges and stochastically optimize energy trading and planning. Particularly, it is able to decouple the optimization of energy trading and planning during individual time slots, hence eliminating the need for joint optimization across a large number of slots.