An Analytical Framework for Heterogeneous Partial Feedback Design in Heterogeneous Multicell OFDMA Networks

TL;DR

This paper develops an analytical framework for heterogeneous partial feedback in OFDMA multicell networks, providing exact and asymptotic sum rate analysis to optimize feedback strategies and enhance multiuser diversity.

Contribution

It introduces a novel analytical approach for evaluating partial feedback in heterogeneous networks, including exact sum rate formulas and asymptotic insights for optimal feedback design.

Findings

Exact sum rate expressions derived using a new probability density function decomposition.

Asymptotic analysis shows best-1 feedback is asymptotically optimal.

Minimum partial feedback required for near-optimal sum rate determined.

Abstract

The inherent heterogeneous structure resulting from user densities and large scale channel effects motivates heterogeneous partial feedback design in heterogeneous networks. In such emerging networks, a distributed scheduling policy which enjoys multiuser diversity as well as maintains fairness among users is favored for individual user rate enhancement and guarantees. For a system employing the cumulative distribution function based scheduling, which satisfies the two above mentioned desired features, we develop an analytical framework to investigate heterogeneous partial feedback in a general OFDMA-based heterogeneous multicell employing the best-M partial feedback strategy. Exact sum rate analysis is first carried out and closed form expressions are obtained by a novel decomposition of the probability density function of the selected user's signal-to-interference-plus-noise ratio. To draw further insight, we perform asymptotic analysis using extreme value theory to examine the effect of partial feedback on the randomness of multiuser diversity, show the asymptotic optimality of best-1 feedback, and derive an asymptotic approximation for the sum rate in order to determine the minimum required partial feedback.