Distributed MIMO-OFDM in imperfectly synchronized cooperative network

Yimin Zhang; Genyuan Wang; Moeness G. Amin

doi:10.1117/12.667776

12 May 2006 Distributed MIMO-OFDM in imperfectly synchronized cooperative network

Yimin Zhang, Genyuan Wang, Moeness G. Amin

Proceedings Volume 6248, Wireless Sensing and Processing; 62480N (2006) https://doi.org/10.1117/12.667776
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

Coded space-time cooperation is an efficient approach in delivering information over a relay network. Multiple cooperative terminals (nodes) form a distributed multiple-input-multiple-output (MIMO) systems, thus providing high data rates and high diversity gains. However, unlike conventional co-located MIMO systems, it is impractical for distributed MIMO networks to maintain perfect timing synchronization between different transmit terminals. In particular, the presence of a fractional-symbol delay difference between the signals transmitted from different terminals can cause erroneous sampling positions and yield highly dispersive channels even at a memoryless channel environment. Existing methods solve such problem based on time-domain approaches where adaptive equalization is required at the receivers for combining the information transmitted from distributed sources. In this paper, we propose the use of OFDM-based approaches using distributed space-frequency codes. The proposed schemes are insensitive to fractional-symbol delays and lead to higher data rate transmission and simplified implementation. In addition, the proposed schemes permit the use of relatively simple amplify-and-forward algorithm in multi-hop wireless networks without delay accumulations. The time delay in each relaying hop by reconstructing the cyclic prefix and, as such, improve the spectral efficiency, while keeping a simple relaying structure.

Citation Download Citation

Yimin Zhang, Genyuan Wang, and Moeness G. Amin "Distributed MIMO-OFDM in imperfectly synchronized cooperative network", Proc. SPIE 6248, Wireless Sensing and Processing, 62480N (12 May 2006); https://doi.org/10.1117/12.667776

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