Spectral efficiency evaluation of full‐duplex mode of communications based on SLNR approach

Abstract

Summary Full‐duplex (FD) mode of communication with efficient transmission scheme is a promising approach for 5G wireless systems by improving the spectral efficiency. This can be attained by making use of various precoding approaches. We propose a new co‐channel interference (CCI)‐aware improvement to signal‐to‐leakage‐and‐noise ratio (SLNR) technique and a suppression filter at the receiver to whiten the interference for the downlink channel. As well, for the uplink (UL) communication, we propose a self‐interference (SI)‐aware enhancement to SLNR scheme and designing a precoder using self‐interference plus noise covariance matrix. The total spectral efficiency is obtained from the sum‐rates of both downlink and uplink communication systems. Simulation results verify that the spectral efficiency (SE) of FD using the proposed scheme performs well relative to the half‐duplex system for all Rician factor and for small powers at the base station (BS) and UL communication channel users. Moreover, as the number of users grows, which entails that as the number of receiving antennas greater than the number of antennas at the BS the SLNR scheme still works, nonetheless, zero‐forcing (ZF) and block‐diagonalization (BD) precoding schemes failed. This is due to the fact that designing a precoder based on SLNR scheme supports multiple numbers of antennas at the base station and users compared with ZF and BD by compromising the interference and noise. However, for the cases of ZF and BD approaches failed due to both schemes require the number of transmit antennas at the BS to be larger than the sum of the receiving antennas at all users.

Full-Duplex Multi-User MIMO Communication Systems Performance Optimization Using Leakage-based Precoding

“…This metric has the capacity to decouple the optimization problems again provide closed-form solutions. The employment of an SLNR-precoding scheme for a Full-duplex mode of communication is an encouraging approach for upcoming generation wireless systems [31][32][33] . This is due to the fact that it substantially increases the SE without any limitation on the number of antenna configurations at the BS and users.…”

“…Due to the fact that P l is invertible, there is a one-to-one correspondence between B u,l and G l . Now, insert this into (33) gives…”

“…Thus, the precoding coefficient vectors can be obtained, by maximizing (31) subject to Tr(B u,l B H u,l ) = P ul,l and (29) for l = 1, 2, • • • ,U d as given as in (33).…”

“…Expression ( 35) is maximized using the preferences of the matrix B u,l is [I m ; 0]. Besides, the choices that fulfill the constraint matrices in (33),…”

Energy Efficiency Optimization and Resource Allocation of Cross-Layer Broadband Wireless Communication System

“…The green communication section can maximize the improvement of energy efficiency, and in the study, the main price energy consumption is defined as the number of bits consumed per unit energy transmission. In the 5G era, it is necessary to face high-energy data transmission, so the green communication resource allocation technology will be the top priority in the 5G era [6]. Literature proposed that the maximum energy effect was used as the objective function [7].…”