Online Multi-Cell Coordinated MIMO Wireless Network Virtualization with Imperfect CSI

TL;DR

This paper introduces an online distributed precoding algorithm for multi-cell MIMO wireless network virtualization that effectively manages imperfect CSI, optimizing long-term service quality without inter-cell CSI exchange.

Contribution

It presents a novel online precoding method that minimizes long-term deviation in a multi-cell MIMO network with imperfect CSI, using a fully distributed approach without CSI exchange.

Findings

Algorithm achieves near-optimal performance within an $O( ext{CSI error})$ gap.

Distributed semi-closed-form precoding solution at each cell.

Validated through simulations in urban micro-cell scenarios.

Abstract

We consider online coordinated precoding design for downlink wireless network virtualization (WNV) in a multi-cell multiple-input multiple-output (MIMO) network with imperfect channel state information (CSI). In our WNV framework, an infrastructure provider (InP) owns each base station that is shared by several service providers (SPs) oblivious of each other. The SPs design their precoders as virtualization demands for user services, while the InP designs the actual precoding solution to meet the service demands from the SPs. Our aim is to minimize the long-term time-averaged expected precoding deviation over MIMO fading channels, subject to both per-cell long-term and short-term transmit power limits. We propose an online coordinated precoding algorithm for virtualization, which provides a fully distributed semi-closed-form precoding solution at each cell, based only on the current imperfect CSI without any CSI exchange across cells. Taking into account the two-fold impact of imperfect CSI on both the InP and the SPs, we show that our proposed algorithm is within an $O(\delta)$ gap from the optimum over any time horizon, where $\delta$ is a CSI inaccuracy indicator. Simulation results validate the performance of our proposed algorithm under two commonly used precoding techniques in a typical urban micro-cell network environment.