Energy Efficiency of Hybrid-ARQ under Statistical Queuing Constraints

TL;DR

This paper analyzes the energy efficiency of hybrid-ARQ schemes with statistical queuing constraints, deriving closed-form expressions and comparing different HARQ methods under various system limitations and source conditions.

Contribution

It provides the first closed-form expressions for minimum energy per bit and wideband slope for HARQ with chase combining, considering queuing and deadline constraints.

Findings

HARQ-CC and HARQ-IR performance comparison

Impact of source burstiness and queuing constraints on energy efficiency

Optimal transmission rate strategies under outage constraints

Abstract

In this paper, energy efficiency of hybrid automatic repeat request (HARQ) schemes with statistical queuing constraints is studied for both constant-rate and random Markov arrivals by characterizing the minimum energy per bit and wideband slope. The energy efficiency is investigated when either an outage constraint is imposed and (the transmission rate is selected accordingly) or the transmission rate is optimized to maximize the throughput. In both cases, it is also assumed that there is a limitation on the number of retransmissions due to deadline constraints. Under these assumptions, closed-form expressions are obtained for the minimum energy per bit and wideband slope for HARQ with chase combining (CC). Through numerical results, the performances of HARQ-CC and HARQ with incremental redundancy (IR) are compared. Moreover, the impact of source variations/burstiness, deadline constraints, outage probability, queuing constraints on the energy efficiency is analyzed.