Interference Alignment and Cancellation


The throughput of existing MIMO LANs is limited by the number of antennas on the AP. This project shows how to overcome this limita- tion. 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, inter- ference alignment and interference cancellation, showing that the combination applies to scenarios where neither interference align- ment 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.


Interference alignment and cancellation,
Shyamnath Gollakota, Samuel David Perli, Dina Katabi,


Shyamnath Gollakota
Massachusetts Institute of Technology

Samuel Perli
Massachusetts Institute of Technology

Dina Katabi
Massachusetts Institute of Technology

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