Abstract

Due to large spectral efficiency and low power consumption, the Massive Multiple-Input-Multiple-Output (MIMO) became a promising technology for the 5G system. However, pilot contamination (PC) limits the performance of massive MIMO systems. Therefore, two pilot scheduling schemes (i.e., Fractional Pilot Reuse (FPR) and asynchronous fractional pilot scheduling scheme (AFPS)) are proposed, which significantly mitigated the PC in the uplink time division duplex (TDD) massive MIMO system. In the FPR scheme, all the users are distributed into the central cell and edge cell users depending upon their signal to interference plus noise ratio (SINR). Further, the capacity of central and edge users is derived in terms of sum-rate, and the ideal number of the pilot is calculated which significantly maximized the sum rate. In the proposed AFPS scheme, the users are grouped into central users and edge users depending upon the interference they receive. The central users are assigned the same set of pilots because these users are less affected by interference, while the edge users are assigned the orthogonal pilots because these users are severely affected by interference. Consequently, the pilot overhead is reduced and inter-cell interference (ICI) is minimized. Further, results verify that the proposed schemes outperform the previous proposed traditional schemes, in terms of improved sum rates.

Highlights

  • The Massive Multiple-Input-Multiple-Out (MIMO) is a promising technology for a wireless communication system that updates the traditional MIMO systems and allows the deployment of excessive antennas at the base stations (BS) of the cellular system to receive and send data at the same time [1,2,3,4]

  • Authors proposed schemes showed significant reduction in pilot contamination contamination (PC), but these schemes are limited due many authors proposed schemes showed significant reduction in PC, but these schemes are limited to the increase in computational complexity. with noise (We) targeted these issues and proposed due to the increase in computational complexity. We targeted these issues and two pilot scheduling schemes, i.e., Fractional Pilot Reuse (FPR) and asynchronous fractional pilot proposed two pilot scheduling schemes, i.e., Fractional Pilot Reuse (FPR) and asynchronous scheduling scheme (AFPS), which significantly mitigated the PC in the uplink time division duplex fractional pilot scheduling scheme (AFPS), which significantly mitigated the PC in the uplink time (TDD) massive MIMO system

  • We demonstrated the performance of the proposed fractional pilot multiplexing strategy by using simulation software

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Summary

Introduction

The Massive Multiple-Input-Multiple-Out (MIMO) is a promising technology for a wireless communication system that updates the traditional MIMO systems and allows the deployment of excessive antennas at the base stations (BS) of the cellular system to receive and send data at the same time [1,2,3,4]. Been developed which successfully reduced the PC which issue [4,13,14,15] These systems are limited due to their computational complexity. Developed which successfully minimized the PC issue [18,19] These systems are limited due these systems are limited due to CSI overhead, increaseschemes in complexity. The pilot overhead is reduced and inter-cell is minimized, in terms of improved sum rates, and the computation complexity is reduced. Simulations results verified that the AFPS minimized the ICI, reduced the pilot overhead, and significantly reduced the PC and improved the overall performance of the massive MIMO system.

Related Work
System for Our
Fractional Pilot Multiplexing
3: The central user randomly allocates pilots in the pilot set
Capacity
Proposed User Grouping Pilot Allocation Strategy
Results and Discussion
10. Variation
11. Relationship
12. Relationship between configuration parameter
Conclusions
Full Text
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