Development of a Pilot Allocation Protocol to Mitigate the Effect of Pilot Contamination in Massive Multiple Input Multiple Output System

Description

– Development of a Pilot Allocation Protocol to Mitigate the Effect of Pilot Contamination in Massive Multiple Input Multiple Output System –

Download Development of a Pilot Allocation Protocol to Mitigate the Effect of Pilot Contamination in Massive Multiple Input Multiple Output System. Communication Engineering students who are writing their projects can get this material to aid their research work.

Abstract

Pilot Contamination (PC) has been considered as a major limiting factor of Time Division Duplexing (TDD) Massive Multiple-Input Multiple-Output (M-MIMO) systems, as it saturates the signal to interference plus noise ratio (SINR) saturated.

Similarly, several mitigation techniques such as Eigenvalue decomposition, cooperative Bayesian channel estimation, blind equalization technique, time staggering pilot, smart pilot assignment, etc. proposed in the literature to address PC issue have limitations. These proposed methods are either based on initializing all pilot sequences allocated for training as requested by users or require coordination among neighboring cells.

Either process is found to be difficult as synchronizing different levels of the network (micro, nano, and pico-cells) and possibly many cells is not only difficult but a huge task of high computational complexity that requires coordination among neighboring cells. Therefore, this research work developed a Pilot Allocation Protocol (PAP) decontamination technique.

Introduction

In today’s world, the use of mobile devices is increasing exponentially and is not limited to just sending and receiving calls. Next-generation communication systems, also known as fifth-generation (5G) networks, have been recognized as having the prospect of providing solutions to the issue of capacity constraints of today’s networks (Jose et al., 2009).

It can also address the problems associated with existing communication systems, concerning their reliability for multimedia applications, full coverage distance area, link reliability, latency, and energy efficiency (Larsson et al., 2014).

Higher channel counts Multiple-Input Multiple-Output (MIMO) also known as Massive MIMO (M-MIMO) technology is in an advantageous position to deal with these constraints (Vardhan et al., 2016a).

M-MIMO system has been identified to have the potential to cater to the high capacity demand, for wireless mobile communication networks in 2020 and beyond (Benmimoune et al., 2015).

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