On the Optimal Number of Cooperative Base Stations in Network MIMO Systems

TL;DR

This paper analyzes the tradeoff between cooperation benefits and overhead in network MIMO systems, determining optimal parameters for maximizing net ergodic achievable rate considering realistic constraints.

Contribution

It introduces a model for optimizing the number of cooperative base stations and training parameters in network MIMO, accounting for practical limitations and channel estimation overhead.

Findings

Optimal number of cooperative BSs identified

Tradeoff between cooperation gains and CSI overhead quantified

Guidelines for system dimensioning in practical network MIMO

Abstract

We consider a multi-cell, frequency-selective fading, uplink channel (network MIMO) where K user terminals (UTs) communicate simultaneously with B cooperative base stations (BSs). Although the potential benefit of multi-cell cooperation grows with B, the overhead related to the acquisition of channel state information (CSI) will rapidly dominate the uplink resource. Thus, there exists a non-trivial tradeoff between the performance gains of network MIMO and the related overhead in channel estimation for a finite coherence time. Using a close approximation of the net ergodic achievable rate based on recent results from random matrix theory, we study this tradeoff by taking some realistic aspects into account such as unreliable backhaul links and different path losses between the UTs and BSs. We determine the optimal training length, the optimal number of cooperative BSs and the optimal number of sub-carriers to be used for an extended version of the circular Wyner model where each UT can communicate with B BSs. Our results provide some insight into practical limitations as well as realistic dimensions of network MIMO systems.