Interference mitigation scheme by antenna selection in device-to-device communication underlaying cellular networks

A rapid increase in the wireless internet-based applications led to an enormous increase in wireless data rates. Intensification of future wireless networks faces a great challenge to meet such growing demand for payload data. A suggested solution that can be used to resolve this issue is to overlay small cell networks with macro cell networks to provide higher network capacity and better coverage. Small cell networks experience large interference from macro cell base stations (BSs) making data rates received by the small cell users not reliably. In this paper, an antenna selection scheme based on small cell user’s (SCU) channel gain is proposed. Whereas, the two tiers use the same network bandwidth resources; the macro BS selects a subset of antennas which has a minimum interfering effect to the SCU based on a pilot sent from SCU to macro cell. The proposed selection scheme has been compared with convex optimization antenna selection scheme. Simulation results show that the SCU data rates are significantly improved using proposed scheme. Execution time required for antenna selection is reduced significantly using the proposed scheme.

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“…where, |ℎ − | 2 is the channel gain from the SCU to th antenna of the macro BS. is 1 × the transmit selection vector with {‖ ‖} 2 = 1 [26].…”

Section: The Propsed Antenna Selection Schemementioning

confidence: 99%

Interference mitigation using antenna selection for the heterogeneous networks

Khaled

Hassaneen

Elagooz³

et al. 2021

Bulletin EEI

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“…This model considers the D2D transmitter as the master and the D2D receiver as the slave. There is a distance constraint for the transceivers and the RPGM model fails to perform handover operations, if the distance between the devices goes beyond the threshold level (22) .…”

Section: Network Model and Mathematical Preliminariesmentioning

confidence: 99%

System capacity evaluation for mobility management in LTE-advanced D2D networks

lowast¹,

Siddesh²

2020

IJST

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Objectives: This study aims to evaluate the system capacity for mobility management in Long Term Evolution-Advanced (LTE-A) Device to Device (D2D) networks with suitable handover schemes. Methods: This paper introduces power control mechanisms for 5G based on the distance between D2D terminals. Interference is a major issue which reduces the performance of D2D communication. The proposed system introduces an algorithm based on greedy algorithmic approach for interference mitigation with easy handover for system capacity estimation. The implementation is carried out using LabVIEW platform and results are analyzed. Findings: The existing mobile communication approaches transfer calls through base stations irrespective of the distance between the mobile terminals. User mobility is an important factor for D2D communication and proper selection of mobility patterns that helps in increasing the energy efficiency and throughput by reducing interference. Efficient utilization of these mobility patterns are shown in the proposed method for developing an optimal time efficient mobility aware caching mechanism with lower complexity. In the recent works, less importance has been given for users' contact time duration while they are moving with different speeds. The simulation results show an enhancement in the system capacity of approximately 480 bits/Hz for 50 devices and 290 bits/Hz for 20 D2D users. The simulation results prove that the proposed approach gives better performance than the existing methods.

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