Achievable channel rate with perfect and compressed information

This paper explores the effect of compressive sensing on channel rate in a massive-MIMO environment. We are interested to know to what extend a channel state information could be compressed and what factors are needed to be considered. For this purpose we assume a base-station with N antennas operat...

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Bibliographic Details
Main Authors: Baharlouei, A., Jabbari, B.
Format: Conference Proceeding
Language:English
Subjects:
Antennas
Channel Capacity
Compressive Sensing
Downlink
Massive-MIMO
Multiuser detection
Sensors
Signal to noise ratio
Simulation
Vectors
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Summary:This paper explores the effect of compressive sensing on channel rate in a massive-MIMO environment. We are interested to know to what extend a channel state information could be compressed and what factors are needed to be considered. For this purpose we assume a base-station with N antennas operating in downlink with K single-antenna users. The sum of rate is calculated and simulated with both original and compressed channel response information. Simulation results show that the total channel rate decreases as the the compression ratio increases. According to simulation results for SNR = 10dB and compression ratio = 0.3, the rate loss is about 5 bps.
ISSN:2162-1233
DOI:10.1109/ICTC.2012.6387137