Energy-Efficient Adaptive Transmission in Machine Type Communications with Delay-Outage Constraints

TL;DR

This paper introduces an energy-efficient adaptive transmission strategy for machine type communications that optimizes power use by switching transmission modes based on channel conditions, effectively balancing QoS and energy consumption.

Contribution

It presents a novel adaptive transmission scheme with a simple implementation for MTC, maximizing energy efficiency under delay-outage constraints.

Findings

Significant energy efficiency gains demonstrated through simulations.

The proposed strategy can be efficiently optimized using binary search.

The method is suitable for large-scale MTC scenarios.

Abstract

In this paper, we propose a novel Adaptive Transmission Strategy to improve energy efficiency~(EE) in a wireless point-to-point transmission system with Quality of Service~(QoS) requirement, i.e., delay-outage probability considered. The transmitter is scheduled to use the channel that has better coefficients, and is forced into silent state when the channel suffers deep fading. The proposed strategy can be easily implemented by applying two-mode circuitry and is suitable for massive machine type communications (MTC) scenarios. In order to enhance EE, we formulate an EE maximization problem, which has a single optimum under a loose QoS constraint. We also show that the maximization problem can be solved efficiently by a binary search algorithm. Simulations demonstrate that our proposed strategy can obtain significant EE gains, hence confirming our theoretical analysis.