Green Resource Allocation and Energy Management in Heterogeneous Small Cell Networks Powered by Hybrid Energy

TL;DR

This paper proposes a dynamic resource allocation and energy management scheme for heterogeneous small cell networks powered by hybrid energy sources, aiming to improve spectrum efficiency and reduce grid energy consumption.

Contribution

It introduces a multi-part optimization framework and an online algorithm for fair spectrum sharing and energy management in renewable-powered HetNets.

Findings

Effective energy savings demonstrated in simulations

Improved spectrum utilization through resource sharing

Adaptive control of data rates and energy use

Abstract

In heterogeneous networks (HetNets), how to improve spectrum efficiency is a crucial issue. Meanwhile increased energy consumption inspires network operators to deploy renewable energy sources as assistance to traditional electricity. Based on above aspects, we allow base stations (BSs) to share their licensed spectrum resource with each other and adjust transmission power to adapt to the renewable energy level. Considering the sharing fairness among BSs, we formulate a multi-person bargaining problem as a stochastic optimization problem. We divide the optimization problem into three parts: data rate control, resource allocation and energy management. An online dynamic control algorithm is proposed to control admission rate and resource allocation to maximize the transmission and sharing profits with the least grid energy consumption. Simulation results investigate the time-varying data control and energy management of BSs and demonstrate the effectiveness of the proposed scheme.