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MIMO Vehicular Networks: Research Challenges and Opportunities

Ahmed Attia1, Ahmad A. ElMoslimany1, Amr El-Keyi1, Tamer ElBatt1, Fan Bai2, and Cem Saraydar2
1. Wireless Intelligent Networks Center, Nile University, Egypt
2. Electrical & Control Integration Laboratory, General Motors Corporation, U.S.A.

Abstract—In this paper, we provide a review of the ben¬efits of employing multiple-input multiple-output (MIMO) signal processing techniques in vehicular ad hoc networks (VANETs). These benefits include increasing the range of communication via beamforming, improving the reliabil¬ity of communication via spatial diversity, increasing the throughput of the network via spatial multiplexing, and managing multiuser interference due to the presence of multiple transmitting terminals. We also present a number of key research challenges facing MIMO VANETs. The first one is deriving statistical MIMO vehicular channel models that take into account the spatial correlation between the transmit and receive antennas and validating them via extensive channel measurement campaigns. Deriving channel estimation and tracking algorithmsfor MIMO inter-vehicular channels is another challenging problem due to their non-stationary behavior and high Doppler spread. Further research is also needed to fully reap the benefits of multiple antennas in VANETs via space-time and space-frequency processing. In addition, cross layer optimization spanning the medium access control (MAC) and networking layers besides the physical layer is essential to satisfy the emerging applications of VANETS ranging from safety, convenience to infotainment.

Cite:Ahmed Attia, Ahmad ElMoslimany, Amr El-Keyi, Tamer ElBatt, Fan Bai, and Cem Saraydar , "MIMO Vehicular Networks: Research Challenges and Opportunities," Journal of Communications, vol. 7, no.7, pp.500-513, 2012. Doi: 10.4304/jcm.7.7.500-513

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