Robust Precoding for Network MIMO with Hierarchical CSIT

TL;DR

This paper proposes a robust precoding algorithm for Network MIMO systems with hierarchical distributed CSI, addressing practical backhaul limitations by exploiting CSI hierarchy to improve transmission robustness.

Contribution

It introduces a heuristic precoding method tailored for hierarchical CSI configurations, enhancing robustness in practical backhaul-limited networks.

Findings

The proposed algorithm improves transmission robustness under imperfect CSI.

Hierarchical CSI exploitation leads to more efficient precoding.

The method is practical and adaptable to real-world network constraints.

Abstract

In this work, we consider a wireless network with K cooperating transmitters (TXs) serving jointly K receivers (RXs). Due to the practical limitations of the backhaul network, it is relevant to consider a setting where each TX receives its own imperfect estimate of the multi-user channel state, denoted as the distributed channel state information (CSI) setting. We focus in this work on a particular distributed CSI configuration called hierarchical CSI configuration in which the TXs can be ordered by increasing level of CSI. This scenario is particularly relevant for future networks with heterogeneous backhaul where the TXs connected with a weak backhaul link will receive only a coarse estimate while the TXs with a stronger backhaul will have a more accurate CSI. In that scenario, we formulate the optimal precoding as a team decision problem. Solving optimally this problem is extremely challenging such that we propose a heuristic approach allowing to obtain a simple, yet efficient and practical, precoding algorithm. The proposed precoding algorithm exploits the hierarchical structure of the CSI to make the transmission more robust to the imperfect CSI knowledge at the TXs.