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arxiv: 1011.6644 · v1 · pith:YICV7MW5new · submitted 2010-11-30 · 💻 cs.IT · math.IT

Interference Alignment via Improved Subspace Conditioning

classification 💻 cs.IT math.IT
keywords interferenceachievablealignmentcadambedesignimprovesjafarpresented
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For the K user, single input single output (SISO), frequency selective interference channel, a new low complexity transmit beamforming design that improves the achievable sum rate is presented. Jointly employing the interference alignment (IA) scheme presented by Cadambe and Jafar in [1] and linear minimum mean square error (MMSE) decoding at the transmitters and receivers, respectively, the new IA precoding design improves the average sum rate while preserving the achievable degrees of freedom of the Cadambe and Jafar scheme, K/2.

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