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Joint Compression and Feedback of CSI in Correlated multiuser MISO Channels
Alodeh, Maha; Chatzinotas, Symeon; Ottersten, Björn
2016In The 17th IEEE International workshop on Signal Processing advances in Wireless Communications
Peer reviewed
 

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Abstract :
[en] The potential gains of multiple antennas in wireless systems can be limited by the channel state information imperfections. In this context, this paper tackles the feedback in multiuser correlated multiple input single output (MU-MISO). We propose a framework to feedback the minimum number of bits without performance degradation. This framework is based on decorrelating the channel state information by compression and then quantize the compressed (CSI) and feedback it to the base station (BS). We characterize the rate loss resulted from the proposed framework. An upper bound on the rate loss is derived in terms of the amount of feedback and the statistics of the channel. Based on this characterization, we propose am adaptive bit allocation algorithm that takes into the account the channel statistics to reduce the rate loss induced by the quantization. Moreover, in order to maintain a constant rate loss with respect to the perfect CSIT case, it is shown that the number of feedback bits should scale linearly with the SNR (in dB) and to the rank of the user transmit correlation matrix. We validate the proposed framework by Monte-carlo simulations.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Alodeh, Maha ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Chatzinotas, Symeon  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Ottersten, Björn ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
no
Language :
English
Title :
Joint Compression and Feedback of CSI in Correlated multiuser MISO Channels
Publication date :
July 2016
Event name :
The 17th IEEE International workshop on Signal Processing advances in Wireless Communications
Event organizer :
IEEE
Event place :
Edinbrugh, United Kingdom
Event date :
July 2016
Audience :
International
Main work title :
The 17th IEEE International workshop on Signal Processing advances in Wireless Communications
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 14 June 2016

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