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http://dx.doi.org/10.4218/etrij.16.0115.0023

Optimized BD-ZF Precoder for Multiuser MIMO-VFDM Cognitive Transmission  

Yao, Rugui (School of Electronics and Information, Northwestern Polytechnical University)
Xu, Juan (School of Electronic and Control Engineering, Chang'an University)
Li, Geng (School of Electronics and Information, Northwestern Polytechnical University)
Wang, Ling (School of Electronics and Information, Northwestern Polytechnical University)
Publication Information
ETRI Journal / v.38, no.2, 2016 , pp. 291-301 More about this Journal
Abstract
In this paper, we study an optimized block-diagonal zero-forcing (BD-ZF) precoder in a two-tiered cognitive network consisting of a macro cell (MC) and a small cell (SC). By exploiting multiuser multiple-input and multiple-output Vandermonde-subspace frequency-division multiplexing (VFDM) transmission, a cognitive SC can coexist with an MC. We first devise a cross-tier precoder based on the idea of VFDM to cancel the interference from the SC to the MC. Then, we propose an optimized BD-ZF intra-tier precoder (ITP) to suppress multiuser interference and maximize the throughput in the SC. In the case where the dimension of a provided null space is larger than that required by the BD-ZF ITP, the optimized BD-ZF ITP can collect all limited channel gain by optimizing rotating and selecting matrices. Otherwise, the optimized BD-ZF ITP is validated to be equivalent to the conventional BD-ZF ITP in terms of throughput. Numerical results are presented to demonstrate the throughput improvement of the proposed optimized BD-ZF ITP and to discover the impact of imperfect channel state information.
Keywords
Capacity; precoder; cognitive transmission; determinant maximization; BD-ZF; VFDM;
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