SMDP-based Downlink Packet Scheduling Scheme for Solar Energy Assisted Heterogeneous Networks

TL;DR

This paper introduces an SMDP-based downlink packet scheduling scheme for solar energy-assisted HetNets, optimizing energy use and system capacity while being compatible with LTE and 5G networks.

Contribution

It proposes a novel semi-Markov decision process model for downlink scheduling in solar-powered HetNets, with solutions for asymptotic optimality.

Findings

The SMDP scheme reduces average scheduling costs compared to greedy methods.

The model effectively integrates solar radiation as a CTMC and packet arrivals as Poisson processes.

Simulation confirms improved energy efficiency and system performance.

Abstract

Renewable energy assisted heterogeneous networks can improve system capacity and reduce conventional energy consumption. In this paper, we propose a semi-Markov decision process (SMDP)-based downlink packet scheduling scheme for solar energy assisted heterogeneous networks (HetNets), where solar radiation is modeled as a continuous-time Markov chain (CTMC) and the arrivals of multi-class downlink packets are modeled as Poisson processes. The proposed downlink packet scheduling scheme can be compatible with the mainstream wireless packet networks such as long-term evolution (LTE) networks and the fifth-generation (5G) networks because the SMDP is a real-time admission control model. To obtain an asymptotically optimal downlink packet scheduling policy, we solve the semi-Markov decision problem using the relative value iteration algorithm under average criterion and the value iteration algorithm under discounted criterion, respectively. The simulation results show that the average cost of the SMDP-based packet scheduling scheme is less than that of the greedy packet scheduling scheme.