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Pilot Decontamination Using Asynchronous Fractional Pilot Scheduling in Massive MIMO Systems
- Source :
- Sensors, Vol 20, Iss 6213, p 6213 (2020), Sensors, Volume 20, Issue 21, Sensors (Basel, Switzerland)
- Publication Year :
- 2020
- Publisher :
- MDPI AG, 2020.
-
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.
- Subjects :
- Computer science
MIMO
Real-time computing
Duplex (telecommunications)
Signal-to-interference-plus-noise ratio
asynchronous fractional pilot scheduling
02 engineering and technology
pilot contamination
Interference (wave propagation)
lcsh:Chemical technology
Biochemistry
Article
Analytical Chemistry
Scheduling (computing)
Telecommunications link
0202 electrical engineering, electronic engineering, information engineering
massive MIMO
lcsh:TP1-1185
Electrical and Electronic Engineering
Instrumentation
Computer Science::Information Theory
020206 networking & telecommunications
Spectral efficiency
Atomic and Molecular Physics, and Optics
Asynchronous communication
fractional pilot reuse
020201 artificial intelligence & image processing
5G
Subjects
Details
- Language :
- English
- ISSN :
- 14248220
- Volume :
- 20
- Issue :
- 6213
- Database :
- OpenAIRE
- Journal :
- Sensors
- Accession number :
- edsair.doi.dedup.....5b53e6dc7ef71a3858444110ba095608