Optimal Utility-Energy tradeoff in Delay Constrained Random Access Networks

TL;DR

This paper investigates the tradeoff between utility, energy consumption, and delay in ad-hoc networks, proposing a convex optimization framework and a distributed algorithm for rate and probability decisions.

Contribution

It formulates a convex optimization model for utility-energy-delay tradeoff and introduces a distributed algorithm for nodes to optimize their transmission parameters.

Findings

Effective tradeoff balancing utility, energy, and delay.

Distributed algorithm achieves near-optimal performance.

Framework applicable to delay-constrained ad-hoc networks.

Abstract

Rate, energy and delay are three main parameters of interest in ad-hoc networks. In this paper, we discuss the problem of maximizing network utility and minimizing energy consumption while satisfying a given transmission delay constraint for each packet. We formulate this problem in the standard convex optimization form and subsequently discuss the tradeoff between utility, energy and delay in such framework. Also, in order to adapt for the distributed nature of the network, a distributed algorithm where nodes decide on choosing transmission rates and probabilities based on their local information is introduced.