Practical Analysis of Codebook Design and Frequency Offset Estimation for Virtual-MIMO Systems

TL;DR

This paper investigates codebook design and frequency offset estimation for virtual MIMO systems, demonstrating that TSVQ offers a simpler yet effective source coding method and that joint CFO estimation significantly improves system performance.

Contribution

It introduces a practical comparison of Voronoi and tree-structure vector quantization for CF relay coding and proposes a joint CFO estimation method to enhance virtual MIMO system robustness.

Findings

TSVQ is simpler to design and offers a good performance-complexity balance.

CFO causes notable performance degradation in virtual MIMO systems.

Joint CFO estimation with synchronization significantly improves system performance.

Abstract

A virtual multiple-input multiple-output (MIMO) wireless system using the receiver-side cooperation with the compress-and-forward (CF) protocol, is an alternative to a point-to-point MIMO system, when a single receiver is not equipped with multiple antennas. It is evident that the practicality of CF cooperation will be greatly enhanced if an efficient source coding technique can be used at the relay. It is even more desirable that CF cooperation should not be unduly sensitive to carrier frequency offsets (CFOs). This paper presents a practical study of these two issues. Firstly, codebook designs of the Voronoi vector quantization (VQ) and the tree-structure vector quantization (TSVQ) to enable CF cooperation at the relay are described. A comparison in terms of the codebook design and encoding complexity is analyzed. It is shown that the TSVQ is much simpler to design and operate, and can achieve a favorable performance-complexity tradeoff. Furthermore, this paper demonstrates that CFO can lead to significant performance degradation for the virtual MIMO system. To overcome this, it is proposed to maintain clock synchronization and jointly estimate the CFO between the relay and the destination. This approach is shown to provide a significant performance improvement.