NDLI: Capacity for downlink massive MIMO MU-SCMA system

Content Provider	IEEE Xplore Digital Library
Author	Tingting Liu Xinmin Li Ling Qiu
Copyright Year	2015
Description	Author affiliation: Key Lab. of Wireless-Opt. Commun., Univ. of Sci. & Technol. of China, Hefei, China (Tingting Liu; Xinmin Li; Ling Qiu)
Abstract	Sparse code multiple access (SCMA) is a new multiple access technique with reusing non-orthogonal code domain resource. It has massive connectivity serving a large number of users and improves spectral efficiency of radio access. SCMA directly maps the information bits of different users to sparse complex codewords selected from the predefined codebooks, and each codeword represents a transmission layer. SCMA can be combined with MIMO technique to further improve the spectral efficiency. This combined technique is called code-space-multiplexing (CSM) which is the extension of the spatial multiplexing. Under downlink massive MIMO MU-SCMA (massive-CSM) system, the base station, equipped with massive transmit antennas, transmits SCMA codewords for each user. In this paper, by applying random matrix theory, we derive an asymptotic equivalent (AE) of signal to interference plus noise ratio (SINR) as the number of transmit antennas approaches infinity. In addition, some asymptotic results of SINR for two special cases can be obtained in terms of large-scale fading coefficients, sparse parameter and the number of resource blocks. Simulation results show massive-CSM can improve the capacity of MU-SCMA system and has a substantial advantage in terms of higher sum rate performance compared with Massive MIMO MU-OFDMA system. As the number of transmit antennas increases, our analytic expression of SINR closely approaches the theoretical result.
Starting Page	1
Ending Page	5
File Size	1142370
Page Count	5
File Format	PDF
e-ISBN	9781467376877
DOI	10.1109/WCSP.2015.7341100
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	5G SCMA Transmitting antennas Interference Massive MIMO Downlink MIMO Massive-code-space-multiplexing Sparse matrices Signal to noise ratio
Content Type	Text
Resource Type	Article

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