Energy Efficiency and Spectral Efficiency Tradeoff in Device-to-Device (D2D) Communications

TL;DR

This paper explores the balance between energy efficiency and spectral efficiency in D2D communications within cellular networks, proposing a distributed resource allocation algorithm based on game theory to optimize EE under SE constraints.

Contribution

It introduces a novel game-theoretic resource allocation method for maximizing energy efficiency in D2D communications with uplink reuse.

Findings

The proposed algorithm effectively balances EE and SE tradeoff.

System parameters significantly influence EE and SE outcomes.

Simulations confirm the algorithm's efficiency and adaptability.

Abstract

In this letter, we investigate the tradeoff between energy efficiency (EE) and spectral efficiency (SE) in device-to-device (D2D) communications underlaying cellular networks with uplink channel reuse. The resource allocation problem is modeled as a noncooperative game, in which each user equipment (UE) is self-interested and wants to maximize its own EE. Given the SE requirement and maximum transmission power constraints, a distributed energy-efficient resource allocation algorithm is proposed by exploiting the properties of the nonlinear fractional programming. The relationships between the EE and SE tradeoff of the proposed algorithm and system parameters are analyzed and verified through computer simulations.