NDLI: Design of downlink training sequences for FDD massive MIMO systems

Content Provider	IEEE Xplore Digital Library
Author	Dong Wang Xiangyang Wang Xihui Yang Yang Zhao Wangtao Wan
Copyright Year	2015
Description	Author affiliation: NCRL, Southeast Univ., Nanjing, China (Dong Wang; Xiangyang Wang; Yang Zhao; Wangtao Wan) \|\| China Telecom, Nanjing, China (Xihui Yang)
Abstract	In the massive Multiple-Input Multiple-Output (MIMO) system, a large number of transmit antennas are deployed at base stations. The massive MIMO has been proposed as one of the key technologies for the next generation of wireless communication systems. A major problem in practice to realize the capacity improvement promised by the massive MIMO technology is the availability of the channel state information in downlink at the base station. In frequency division duplexing (FDD) massive MIMO systems, the overhead of the training sequences could overwhelm the precious downlink resources due to the large number of transmit antennas. Therefore, a training sequences design approach that exploits the channel spatial correlation is proposed to reduce the overhead of training sequences. The optimal training sequence structure is analyzed and the length of optimal training sequence which could maximize the achievable data rate is evaluated by the Monte Carlo simulations in this paper. It is shown that the overhead is significantly reduced and a trade-off between accuracy of channel estimation and the system achievable data rate is achieved simultaneously by the proposed training sequences design method.
Starting Page	4570
Ending Page	4575
File Size	223221
Page Count	6
File Format	PDF
e-ISBN	9781467364324
DOI	10.1109/ICC.2015.7249043
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-08
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training MIMO Correlation Channel estimation Signal to noise ratio Downlink Coherence training sequences Massive MIMO system channel estimation downlink
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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