Performance of Energy-Buffer Aided Incremental Relaying in Cooperative Networks

TL;DR

This paper analyzes the performance of energy-buffer aided incremental relaying in cooperative networks, deriving outage and throughput expressions using a continuous-state Markov chain, and compares incremental policies in terms of reliability and diversity.

Contribution

It introduces a continuous-state Markov chain model for energy buffers and derives analytical performance metrics for incremental relaying policies in energy harvesting networks.

Findings

IBEF achieves higher diversity (2) than IOFP (1).

IBEF buffers are more reliable than IOFP.

Throughput differences between policies are marginal.

Abstract

In this paper, we consider a two-hop cooperative network with a direct link based on an energy harvesting (EH) decode-and-forward relay. The energy-buffer equipped relay harvests energy from the ambience, and uses the harvest-store-use (HSU) architecture. Since it is known that using a discrete-state Markov chain to model the energy buffer is inaccurate even for moderate number of states, we use a discrete-time continuous-state space Markov chain instead. We derive the limiting distribution of energy for both incremental on-off policy (IOFP) and the incremental best-effort policy (IBEF), and use them to obtain expressions for outage probability and throughput. The corresponding expressions for non-incremental signalling follow as a special case. We show that stable buffers using IBEP harness a diversity of two as compared to those using IOFP, which attain a diversity of one. However, while buffers using IBEF are consequently more reliable than those with IOFP, their throughput performance is only marginally superior. Simulation results are presented to validate the derived analytical expressions.