DocumentCode
39706
Title
Beam Division Multiple Access Transmission for Massive MIMO Communications
Author
Chen Sun ; Xiqi Gao ; Shi Jin ; Matthaiou, Michail ; Zhi Ding ; Chengshan Xiao
Author_Institution
Nat. Mobile Commun. Res. Lab., Southeast Univ., Nanjing, China
Volume
63
Issue
6
fYear
2015
fDate
Jun-15
Firstpage
2170
Lastpage
2184
Abstract
We study multicarrier multiuser multiple-input multiple-output (MU-MIMO) systems, in which the base station employs an asymptotically large number of antennas. We analyze a fully correlated channel matrix and provide a beam domain channel model, where the channel gains are independent of sub-carriers. For this model, we first derive a closed-form upper bound on the achievable ergodic sum-rate, based on which, we develop asymptotically necessary and sufficient conditions for optimal downlink transmission that require only statistical channel state information at the transmitter. Furthermore, we propose a beam division multiple access (BDMA) transmission scheme that simultaneously serves multiple users via different beams. By selecting users within non-overlapping beams, the MU-MIMO channels can be equivalently decomposed into multiple single-user MIMO channels; this scheme significantly reduces the overhead of channel estimation, as well as, the processing complexity at transceivers. For BDMA transmission, we work out an optimal pilot design criterion to minimize the mean square error (MSE) and provide optimal pilot sequences by utilizing the Zadoff-Chu sequences. Simulations demonstrate the near-optimal performance of BDMA transmission and the advantages of the proposed pilot sequences.
Keywords
MIMO communication; antenna arrays; array signal processing; channel estimation; correlation methods; matrix algebra; mean square error methods; multi-access systems; radio transceivers; statistical analysis; wireless channels; BDMA transmission scheme; MSE; MU-MIMO systems; Zadoff-Chu sequence utilization; base station; beam division multiple access transmission scheme; beam domain channel model; channel estimation overhead reduction; channel gains; closed-form upper bound; ergodic sum-rate; fully correlated channel matrix; massive MIMO communications; mean square error minimization; multicarrier multiuser multiple-input multiple-output systems; multiple single-user MIMO channels; optimal downlink transmission; optimal pilot design criterion; statistical channel state information; Antennas; Arrays; Covariance matrices; Downlink; MIMO; Symmetric matrices; Upper bound; Beam division multiple access (BDMA); massive MIMO; statistical channel state information (CSI); sum-rate upper bound;
fLanguage
English
Journal_Title
Communications, IEEE Transactions on
Publisher
ieee
ISSN
0090-6778
Type
jour
DOI
10.1109/TCOMM.2015.2425882
Filename
7093168
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