KEYWORDS: Digital signal processing, Telecommunications, Receivers, Modulation, MATLAB, Video, Antennas, Orthogonal frequency division multiplexing, Human-machine interfaces, Algorithm development
Multiple Input - Multiple Output (MIMO) is a new communications paradigm which brings significant benefits to
future communication systems. In contrast to conventional wireless communication systems, MIMO systems exploit the
spatial diversity available in multipath propagation to create parallel channels within a common bandwidth. The
multiple channels can be used for capacity enhancement, coverage improvement, lower radiated power spectral density,
interference/jammer suppression, multi-beam communication and battery power savings.
Research, development and exploitation of MIMO technology for tactical communication systems is significantly
limited by lack of mobile, real-time MIMO testbeds to verify and validate extensive theoretical results. We report a 4x4
mobile, wideband, real-time MIMO-OFDM testbed designed and developed by the team of San Diego Research Center
(SDRC) and Brigham Young University (BYU). Using this testbed we have successfully demonstrated the feasibility of
peer-to-peer Mobile MIMO by closing 1000m links, at 50 mph speeds, at 12 bps/Hz spectral efficiency.
Multiple Input - Multiple Output (MIMO) systems use multiple antennas to exploit the multipath available in wireless channels and significantly improve communication performance. The use of multiple antennas open a multitude of dimensions to optimize performance based on application, mission and environments. Tactical networks impose additional challenges like mobility, jammers and distributed operation.
In this paper we present the design of a Media Access Control (MAC) protocol, called LiSL/M, which optimizes the performance of networked tactical MIMO systems. LiSL/M is an adaptive and opportunistic distributed protocol that schedules links dynamically based on interference, traffic and channel condition. We also discuss our experiments with interfacing accurate MIMO propagation and physical layer models implemented in MATLAB(R) with QualNet(R) network simulator. LiSL/M simulation results show significant 2-3 times better network performance in scenarios envisioned for Future Combat Systems (Lakehurst scenario).
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