2012/07/30 by Mohsen Rezaee, Maxime Guillaud, Rezaee, Mohsen +1
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Communication Techniques #Cooperative Communication and Network Coding #FOS: Computer and information sciences #Information Theory (cs.IT)
paper · pdf · doi:10.48550/arxiv.1207.6902
openalex publication_date 2012/07/30 · openalex created_date 2022/08/13 · openalex updated_date 2026/07/28
A simple channel state information (CSI) feedback scheme is proposed for\ninterference alignment (IA) over the K-user constant\nMultiple-Input-Multiple-Output Interference Channel (MIMO IC). The proposed\ntechnique relies on the identification of invariants in the IA equations, which\nenables the reformulation of the CSI quantization problem as a single\nquantization on the Grassmann manifold at each receiver. The scaling of the\nnumber of feedback bits with the transmit power sufficient to preserve the\nmultiplexing gain that can be achieved under perfect CSI is established. We\nshow that the CSI feedback requirements of the proposed technique are better\n(lower) than what is required when using previously published methods, for\nsystem dimensions (number of users and antennas) of practical interest.\nFurthermore, we show through simulations that this advantage persists at low\nSNR, in the sense that the proposed technique yields a higher sum-rate\nperformance for a given number of feedback bits. Finally, to complement our\nanalysis, we introduce a statistical model that faithfully captures the\nproperties of the quantization error obtained for random vector quantization\n(RVQ) on the Grassmann manifold for large codebooks; this enables the numerical\n(Monte-Carlo) analysis of general Grassmannian RVQ schemes for codebook sizes\nthat would be impractically large to simulate.\n