Interference Alignment and Cancellation
Author(s)Gollakota, Shyamnath; Perli, Samuel David; Katabi, Dina
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The throughput of existing MIMO LANs is limited by the number of antennas on the AP. This paper shows how to overcome this limit. It presents interference alignment and cancellation (IAC), a new approach for decoding concurrent sender-receiver pairs in MIMO networks. IAC synthesizes two signal processing techniques, interference alignment and interference cancellation, showing that the combination applies to scenarios where neither interference alignment nor cancellation applies alone. We show analytically that IAC almost doubles the throughput of MIMO LANs. We also implement IAC in GNU-Radio, and experimentally demonstrate that for 2x2 MIMO LANs, IAC increases the average throughput by 1.5x on the downlink and 2x on the uplink.
DepartmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Proceedings of the ACM SIGCOMM 2009 conference on Data communication (SIGCOMM '09)
Association for Computing Machinery (ACM)
Shyamnath Gollakota, Samuel David Perli, and Dina Katabi. 2009. Interference alignment and cancellation. SIGCOMM Comput. Commun. Rev. 39, 4 (August 2009), 159-170.
Author's final manuscript