Work

Transmit Designs for the MIMO Broadcast Channel With Statistical CSI

Year: 2014

Type: article

Abstract: We investigate the multiple-input multiple-output broadcast channel with statistical channel state information available at the transmitter. The so-called linear assignment operation is employed, and necessary conditions are derived for the optimal transmit design under general fading conditions. Based on this, we introduce an iterative algorithm to maximize the linear assignment weighted sum-rate by applying a gradient descent method. To reduce complexity, we derive an upper bound of the linear assignment achievable rate of each receiver, from which a simplified closed-form expression for a near-optimal linear assignment matrix is derived. This reveals an interesting construction analogous to that of dirty-paper coding. In light of this, a low-complexity transmission scheme is provided. Numerical examples illustrate the significant performance of the proposed low complexity scheme.

Source: IEEE Transactions on Signal Processing

DOI: 10.1109/tsp.2014.2336637

Authors: Yongpeng Wu, Shi Jin, Xiqi Gao, Matthew R. McKay, Chengshan Xiao

Institutions: Friedrich-Alexander-Universität Erlangen-Nürnberg, Southeast University, Hong Kong University of Science and Technology, Missouri University of Science and Technology

Language: English

Topic: Advanced MIMO Systems Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: Alexander von Humboldt-Stiftung, National Natural Science Foundation of China

Awards: G3155968637, G72759632