Nearly Optimal Resource Allocation for Downlink OFDMA in 2-D Cellular Networks

TL;DR

This paper introduces a distributed resource allocation algorithm for 2-D OFDMA cellular networks that is asymptotically optimal in power efficiency as the number of users increases, based on statistical CSI and fractional frequency reuse.

Contribution

The paper presents a novel distributed resource allocation algorithm for 2-D OFDMA networks that achieves asymptotic optimality in power consumption under realistic fading and interference models.

Findings

Algorithm is asymptotically optimal as users grow large.

Performance analysis under Rayleigh fading and Gaussian interference.

Characterizes a key reuse factor based on average network state.

Abstract

In this paper, we propose a resource allocation algorithm for the downlink of sectorized two-dimensional (2-D) OFDMA cellular networks assuming statistical Channel State Information (CSI) and fractional frequency reuse. The proposed algorithm can be implemented in a distributed fashion without the need to any central controlling units. Its performance is analyzed assuming fast fading Rayleigh channels and Gaussian distributed multicell interference. We show that the transmit power of this simple algorithm tends, as the number of users grows to infinity, to the same limit as the minimal power required to satisfy all users' rate requirements i.e., the proposed resource allocation algorithm is asymptotically optimal. As a byproduct of this asymptotic analysis, we characterize a relevant value of the reuse factor that only depends on an average state of the network.