Capacity analysis of MIMO systems using limited feedback transmit precoding schemes

IEEE Transactions on Signal Processing

Volumn 56, Issue 7 I, 2008, Pages 2886-2901

  Zheng, Jun ^a,b   Rao, Bhaskar D ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b BROADCOM CORPORATION   (United States)

Author keywords

Bennetts integral; Capacity analysis; Channel quantization; Channel state information (CSI) feedback; Complex distortion analysis; Constrained source; Finite rate feedback; High resolution quantization theory; Imperfect CSIT; Mismatched channel quantizer; Multiple input multiple output (MIMO); Transmit precoding; Vector quantization

Indexed keywords

ACOUSTIC INTENSITY; CHANNEL STATE INFORMATION; COMPUTER SYSTEMS; CONTROL THEORY; DECODING; FADING (RADIO); FADING CHANNELS; FEEDBACK; INFORMATION RETRIEVAL; LAWS AND LEGISLATION; MILITARY DATA PROCESSING; MIM DEVICES; MIMO SYSTEMS; RAYLEIGH FADING; SIGNAL TO NOISE RATIO; STATE FEEDBACK; TELECOMMUNICATION; WIRELESS TELECOMMUNICATION SYSTEMS;

ANALYTICAL RESULTS; CAPACITY ANALYSIS; CAPACITY LOSSES; CHANNEL STATE (CS); CHANNEL-STATE INFORMATION (CSI); CODE-BOOKS; COMPLEX DOMAINS; CSI FEEDBACK; DEGREES OF FREEDOM; DISTORTION (DEFORMATION); DISTORTION ANALYSIS; FINITE-RATE FEEDBACK; FIXED NUMBERS; GENERAL (CO); HIGH RESOLUTION QUANTIZATION; HIGH RESOLUTIONS; INDEPENDENTLY AND IDENTICALLY DISTRIBUTED; LIMITED FEEDBACK; LOWER BOUNDS; MIMO (MULTIPLE INPUT MULTIPLE OUTPUT) SYSTEMS; MULTI MODES; MULTIPLE-INPUT-MULTIPLE-OUTPUT (MIMO) SYSTEMS; NECESSARY AND SUFFICIENT CONDITIONS; PRE-CODING; QUANTIZERS; RAYLEIGH FLAT-FADING CHANNELS; SIGNAL TO NOISE RATIO (SNR); SIMULATION RESULTS; SPATIAL BEAMS; SPATIAL MULTIPLEXING (SM); SYSTEM-CAPACITY; TRANSMISSION SCHEMES; VECTOR QUANTIZERS;

MULTIPLEXING;

EID: 46749148493     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2008.917381     Document Type: Article

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