NDLI: Complexity reduced zero-forcing beamforming in massive MIMO systems

Content Provider	IEEE Xplore Digital Library
Author	Chan-Sic Park Yong-Suk Byun Bokiye, A.M. Yong-Hwan Lee
Copyright Year	2014
Description	Author affiliation: Sch. of Electr. Eng., Seoul Nat. Univ., Seoul, South Korea (Chan-Sic Park; Yong-Suk Byun; Bokiye, A.M.; Yong-Hwan Lee)
Abstract	Data gathering is one of the most popular applications in multi-hop wireless sensor networks. Since resources are limited, it is important to efficiently allocate the resource Massive multi-input multi-output (m-MIMO) systems can provide a high degree of freedom in signal transmission, enabling to simultaneously serve a number of users with high transmission capacity. Conventional zero-forcing beamforming (ZFBF) techniques can transmit multi-user signal while completely canceling out interbeam interference. However, they may have implementation difficulty when applied to m-MIMO systems mainly due to hugh processing complexity. In this paper, we design a complexity reduced ZFBF scheme by means of sequential interference cancellation. We first determine the beam weight according to the use of conventional maximum ratio transmission (MRT) scheme and calculate the corresponding interbeam interference. We calculate so-called an interference cancellation vector by sequentially cancelling out a predetermined number of interference sources in an order of the strongest interference. Finally, we determine the beam weight by adding the interference cancellation vector to the MRT beam weight. The number of interbeam interferences to be cancelled out can be pre-determined taking into consideration of the processing complexity and required performance. As the number of interbeam interferences to be cancelled out increases, the performance of the proposed scheme approaches to that of ZFBF. The numerical and simulation results show that the proposed scheme can achieve about 90 % capacity of ZFBF while requiring 2~7% processing complexity of ZFBF in various operating environments with the use of 32 128 transmit antennas.
Starting Page	1
Ending Page	5
File Size	135505
Page Count	5
File Format	PDF
ISBN	9781479935895
DOI	10.1109/ITA.2014.6804219
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-02-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multiplexing Interference cancellation Array signal processing massive MIMO inter-beam interference Vectors maximum ratio transmission processing complexity zero-forcing beamforming Computational complexity spatial multiplexing scheme
Content Type	Text
Resource Type	Article

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