Abstract

The performance of a massive multi-user Multi-Input Multi-Output (MIMO) system, operating in Frequency Division Duplex (FDD) mode, severely degrades under imperfect Channel State Information (CSI). Among the main challenges toward the acquisition of sufficiently accurate CSI at the transmitter is the issue of enormous CSI feedback overhead. In this paper, a novel interference cancellation strategy is proposed to alleviate the overhead. The concept of a device-to-device based interference cancellation strategy was hinted in some prior works but has not been fully exploited in the multi-user MIMO systems, especially when the number of antennas becomes large. Hence, this paper aims to exploit the potential of User Equipment (UE) cooperation to reduce the dependency of precoder at the transmitter to the accuracy of CSI. To do so, adjacent pieces of UE that experience correlated CSI are clustered in a similar group, jointly adjusting their receive antenna combining the weight vector to maximize the channel vector orthogonality. Simulation results show that the proposed strategy reduces the dependency of system performance on the accuracy of CSI feedback; moreover, compared to the conventional limited feedback strategy, a larger number of antennas can be deployed at the transmitter.

Highlights

  • Massive Multiple-Input Multiple-Output (MIMO) is a promising technology for the FifthGeneration (5G) of cellular networks [1,2,3]

  • The results reveal that utilizingnumbers thelimited demonstrates the system throughput of II,towhere different ofstrategy, transmit moreFigure transmit antennas beare deployed at the Base Stations (BSs), compared the by conventional feedback more transmit antennas can be deployed at the BS, compared to the conventional limited feedback antennas and feedback bits are considered

  • By integrating User Cooperative Interference Cancellation (UCIC) with Distributed Antenna System (DAS) and applying it to the Massive-Multi-Input Multi-Output (MIMO) system: (i) system performance can be improved by 35.5%, and (ii) the maximum number of antennas can be increased by 75%, compared to the centralized Massive-MIMO system with the conventional limited feedback technique

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Summary

Introduction

Massive Multiple-Input Multiple-Output (MIMO) is a promising technology for the FifthGeneration (5G) of cellular networks [1,2,3]. In Massive-MIMO, it is assumed that the number of transmit antennas is 10 times larger than the number of receive antennas [1]. Such a massive number of antennas would provide significant multiplexing and diversity gains and serve a larger number of users in parallel [2]. The theory has anticipated that in rich scattering environments, by increasing the number of transmit antennas, the greater data-rate can be achieved without increasing bandwidth [3]. By adding multiple antennas, a greater degree of freedom, in addition to time and frequency dimensions, in wireless channels can be offered to provide more data-rate [4]. Massive-MIMO will minimize intra and inter-cell interferences, by narrowing and focusing the radiated energy toward the intended user’s direction [3]

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