Interference alignment and cancellation

By Shyamnath Gollakota, Samuel David Perli, Dina Katabi. Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, 2009

366 citations recorded by the source corpus.

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.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/12e7785dc75c56f91eb01c5c87a9ab69f05da761

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Design considerations for a 5G network architecture (2014, background): “By adding some intelligence at the transmitter and the receiver, potential interference can be coordinated and cancelled at the receiver to increase the system throughput [7].”
MegaMIMO : Scaling Wireless Capacity with User Demands (2012, background): “MegaMIMO is related to work on enabling concurrent transmissions across different nodes in the network like MU-MIMO in LTE and WiMAX [24, 21], SAM [37], IAC [10], multi-user beamforming [3] , and n+ [19].”
FlashLinQ: A Synchronous Distributed Scheduler for Peer-to-Peer Ad Hoc Networks (2013, background): “In parallel, there has been a growing interest in integrating advanced physical layer techniques, including network coding, interference alignment, and cancellation into existing wireless networks [16][17][18][19].”
FireFly (2014, neutral): “, using interference alignment and cancellation [22]).”
JMB: scaling wireless capacity with user demands (2012, background): “JMB is related to work on enabling concurrent transmissions across different nodes in the network like MU-MIMO in LTE and WiMAX [24, 21], SAM [37], IAC [10], multi-user beamforming [3] , and n+ [19].”
AirSync: Enabling Distributed Multiuser MIMO With Full Spatial Multiplexing (2012, background): “The constant offset ∠ H i ( n ) becomes a part of the downlink channel estimates and poses no further problems with regard to synchronization both when using downlink and uplink channel estimation schemes.”
Interference Alignment: A New Look at Signal Dimensions in a Communication Network (2011, neutral): “17 Interference alignment and cancellation [47].”