Signal processing techniques to enable concurrent communications in MIMO enabled networks

Authors:
Eren Eraslan;Vamsi Panchagnula;Babak Daneshrad;Sungro Yoon;Injong Rhee;Jae H. Kim
Affiliations:
Electrical Engineering Department, University of California, Los Angeles, CA;Silvus Communication Systems Inc., Los Angeles, CA;Electrical Engineering Department, University of California, Los Angeles, CA;Department of Computer Science, North Carolina State University, Raleigh, NC;Department of Computer Science, North Carolina State University, Raleigh, NC;The Boeing Company, Bellevue, WA
Venue:
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Year:
2009

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Abstract

In this paper, we present two novel methods to enable concurrent communications in MIMO networks. First method enables an 802.11n MIMO-OFDM receiver to decode independent data streams from two independent 802.11n transmitters concurrently. It is implemented on real time 802.11n based MIMO-OFDM testbeds and the performance of the technique is examined through both simulation and field trials. Second method is a low overhead Concurrent Communications scheme based on Adaptive Interference Cancellation (CC-AIC), which does not require any explicit channel state information (CSI) between the nodes in the network.