Location-Based Interference Cancellation in Device-to-Device Communications in Millimeter Wave Beamforming

Abstract

In this Paper, a novel interference cancellation in Device-to-Device (D2D) communications in millimeter wave (mmWave) location-based is proposed. Localization system assist for approximately determining position of the user equipment (UE) properly. For establishing the mmWave link efficiently, we first estimate the mmWave channel based on compressive sensing (CS) is conducted using beam search to detect the best pair beams the transmit (TX)/receive (RX). The estimated position of UE is used to determine the good beams and the conflict beams which limit the interference between different D2D communications and the required beams for designing the sensing matrix efficiently to be used in beamforming training (BT). Simulation results show that the proposed D2D algorithm outperforms the conventional D2D technique in the spectral efficiency, energy efficiency and the BT complexity.