Energy Efficiency with Proportional Rate Fairness in Multi-Relay OFDM Networks

TL;DR

This paper explores energy efficiency optimization in multi-relay OFDM networks with proportional rate fairness, considering power consumption models and proposing a low-complexity solution, with insights on how circuit power affects EE growth.

Contribution

It formulates a joint optimization problem for energy efficiency in relay-assisted OFDM systems under fairness constraints and proposes a low-complexity approximation scheme.

Findings

System EE increases with CNR, but at different rates depending on circuit power model.

Circuit power consumption significantly impacts EE growth behavior.

Number of users and subcarriers influence overall EE performance.

Abstract

This paper investigates the energy efficiency (EE) in multiple relay aided OFDM system, where decode-and-forward (DF) relay beamforming is employed to help the information transmission. In order to explore the EE performance with user fairness for such a system, we formulate an optimization problem to maximize the EE by jointly considering several factors, the transmission mode selection (DF relay beamforming or direct-link transmission), the helping relay set selection, the subcarrier assignment and the power allocation at the source and relays on subcarriers, under nonlinear proportional rate fairness constraints, where both transmit power consumption and linearly rate-dependent circuit power consumption are taken into account. To solve the non-convex optimization problem, we propose a low-complexity scheme to approximate it. Simulation results demonstrate its effectiveness. We also investigate the effects of the circuit power consumption on system performances and observe that with both the constant and the linearly rate-dependent circuit power consumption, system EE grows with the increment of system average channel-to noise ratio (CNR), but the growth rates show different behaviors. For the constant circuit power consumption, system EE increasing rate is an increasing function of the system average CNR, while for the linearly rate-dependent one, system EE increasing rate is a decreasing function of the system average CNR. This observation is very important which indicates that by deducing the circuit dynamic power consumption per unit data rate, system EE can be greatly enhanced. Besides, we also discuss the effects of the number of users and subcarriers on the system EE performance.