Title :
Self-Interference Pricing-Based MIMO Full-Duplex Precoding
Author :
Huberman, Sean ; Tho Le-Ngoc
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada
Abstract :
Precoding designs for bidirectional full-duplex (FD) systems have been proposed as potential ways to suppress the effects of self-interference and improve the spectral efficiency of wireless systems. This letter proposes the self-interference pricing based full-duplex precoding (FDP-SIP) algorithm that applies pricing-based precoding at the transmitter to suppress the self-interference prior to the receiver low-noise amplifier (LNA) and analog-to-digital converter (ADC) to avoid overloading while ensuring the receiver linearity. The proposed FDP-SIP algorithm can be implemented without the need of active cancellation at the receiver. Simulation results demonstrate the effectiveness of the proposed FDP-SIP algorithm using both channel models and measured data. In particular, based on the measured data, FDP-SIP algorithm provides the sum-rate nearly 1.8 times that of an optimized half-duplex (HD).
Keywords :
MIMO communication; analogue-digital conversion; interference suppression; low noise amplifiers; precoding; pricing; radio receivers; radio transmitters; wireless channels; ADC; FDP-SIP algorithm; LNA; analog-to-digital converter; channel model; low noise amplifier; overloading avoidance; receiver linearity; self-interference effect suppression; self-interference pricing-based MIMO full-duplex precoding; sum-rate; transmitter; wireless system spectral efficiency improvement; Channel estimation; Linear programming; MIMO; Pricing; Receivers; Full duplex; MIMO; precoding; pricing; self-interference suppression;
Journal_Title :
Wireless Communications Letters, IEEE
DOI :
10.1109/LWC.2014.2345751