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High Performance Detection Using Three Different weight Blind Algorithms in ZF Receiver for Uplink Multi-User Massive MIMO in 5G Wireless Communications

Sarun Duangsuwan and Chakree Teekapakvisit
Electronic Engineering, Prince of Chumphon Campus, King Mongkut’s Institute of Technology Ladkrabang, Thailand
Abstract—A novel of an uplink multi-user massive Multi-Input Multi-Output (MIMO) in 5G wireless communication that is an increasing efficiency of massive MIMO detection, in order to support a very high speed Giga-Wireless (GiWi). One of the most focused on the Zero-Forcing (ZF) receiver, but due to it has no optimal. In this paper, we present blind algorithms to optimize the performance of ZF because of their low complexity. The three different weight blind algorithms are various proposed by using the Conventional Constant Modulus (CCM), Supervised Constant Modulus (SCM), and the Variable Step Size Constant Modulus (VSSCM). The performance results show as a channel response, Mean Square Error (MSE), and Bit Error Rate (BER) is discussed. It can be shown that the proposed blind algorithms can optimal efficiency of ZF receiver under an assumption of no required CSI.

Index Terms—5G wireless communication, ZF receiver, three different blind algorithms, multi-user massive MIMO system.

Cite: Sarun Duangsuwan and Chakree Teekapakvisit, "High Performance Detection Using Three Different weight Blind Algorithms in ZF Receiver for Uplink Multi-User Massive MIMO in 5G Wireless Communications," Journal of Communications, vol. 13, no. 9, pp. 512-517, 2018. Doi: 10.12720/jcm.13.9.512-517.
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