2009
DOI: 10.1145/1594977.1592588
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Interference alignment and cancellation

Abstract: The throughput of existing MIMO LANs is limited by the number of antennas on the AP. This paper shows how to overcome this limitation. 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 analyticall… Show more

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Cited by 126 publications
(151 citation statements)
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“…Higher order modulation and coding schemes, like 256-QAM along with MIMO, further increase the spectral efficiency and system capacity [24]. Multiple Access techniques like Non-Orthogonal Multiple Access (NOMA), Sparse Coded Multiple Access (SCMA), and Filter Bank MultiCarrier (FBMC) can be used to enhance spectral efficiencies.…”
Section: N Energy Efficiency and Energy Harvestingmentioning
confidence: 99%
“…Higher order modulation and coding schemes, like 256-QAM along with MIMO, further increase the spectral efficiency and system capacity [24]. Multiple Access techniques like Non-Orthogonal Multiple Access (NOMA), Sparse Coded Multiple Access (SCMA), and Filter Bank MultiCarrier (FBMC) can be used to enhance spectral efficiencies.…”
Section: N Energy Efficiency and Energy Harvestingmentioning
confidence: 99%
“…In order to check the validity of the model in (6), and to assess the performance of relative calibration in a practical system, the proposed algorithm was applied to measurements collected using the Eurecom MIMO OpenAir Sounder (EMOS), a subsystem of the OpenAirInterface LTE testbed (http://www.openairinterface.org).…”
Section: Validation Using Measured Datamentioning
confidence: 99%
“…Several recent experimental works, such as [6], [7], have successfully demonstrated the use of relative calibration. They have in common that calibration is formulated using a frequency-flat channel representation.…”
Section: Introductionmentioning
confidence: 99%
“…The biggest limiting factor of SIC is its requirement of significant signal strength differences among overlapped signals. Other techniques including [5][6][7] have adopted similar interference cancellation techniques for decoding the randomly arriving packets with multiple frequency offsets (MFOs).…”
Section: Introductionmentioning
confidence: 99%