EVD-based Blind Channel Estimation and SDMA-based Resource Allocation in Multiuser Massive MIMO System

Wei-Chiang Wu

doi:10.6180/jase.201906_22(2).0017

EVD-based Blind Channel Estimation and SDMA-based Resource Allocation in Multiuser Massive MIMO System

Electrical Engineering

Wei-Chiang Wu This email address is being protected from spambots. You need JavaScript enabled to view it.¹

¹Department of Electrical Engineering, Da-Yeh University, Changhua, Taiwan 515, R.O.C.

Received: May 25, 2018
Accepted: December 4, 2018
Publication Date: June 1, 2019

Download Citation: ||https://doi.org/10.6180/jase.201906_22(2).0017

ABSTRACT

This paper considers multiuser multiple-input multiple-output (MU-MIMO) wireless communications in which the cellular base station (BS) is equipped with a very large number of antennas. We consider time-division duplexing (TDD) scheme, in which reciprocity between uplink and downlink channels can be assumed.Benefited from the asymptotic orthogonality between channel vectors in massive MIMO, we propose an eigenvalue decomposition (EVD) based blind channel estimation algorithm from the received data during uplink transmission.Though the estimated channel vector remains scalar multiplicative ambiguity, we mitigate the ambiguity by exploiting DPSK modulation and non coherent demodulation. In the downlink, we propose a space division multiple access (SDMA) based resource allocation algorithm. As the green radio is essential in 5G and future network, energy efficiency becomes the major concern. In this paper, we evaluate system performance by the number of reliable bits transmitted per joule of energy consumed in a wireless cellular network. Numerical results verify the effectiveness of the channel estimation algorithm.

Keywords: Eigenvalue Decomposition (EVD), Multiuser Multiple-input Multiple-output (MUMIMO), Orthogonal Frequency-division Multiple-access (OFDMA), Massive MIMO, Time-division Duplexing (TDD)

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