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

Abstract

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.