Authors :
Okoye Anulika Joy; C.B. Mbachu; S.A Akaneme; C.A. Nwabueze
Volume/Issue :
Volume 7 - 2022, Issue 6 - June
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3bPB3pP
DOI :
https://doi.org/10.5281/zenodo.6791636
Abstract :
Wireless mobile communication system has
become an attractive technology and continues to evolve
due to increasing demand for high data speed
performance. In order to achieve high rate of data and to
meet growing demand in mobile communication, large
scale multiple antennas system involving the use of
hundreds of antenna at the base station is regarded as a
promising technology for next generation of wireless
communication standard such as fifth generation (5G).
However, due to multipath effect in wireless channel, the
problem of severe attenuation in transmitted signal arises,
which makes it very difficult for the receiver at base station
(BS) to determine the optimum transmitted signal and
thereby causing system performance metrics such as
capacity to degrade. This paper presents maximizing
receive capacity in large scale multiple input multiple out
(or massive-MIMO) system based on maximal ratio
combining (MRC) beamforming. The system is designed
to mitigate multipath fading effect to improve system
performance. The mathematic model of massive multiple
antennas system channel was derived and maximum ratio
combining technique was formulated. The entire system
was modeled in MATLAB. Simulation results obtaining
considering wireless communication over Rayleigh fading
with varying number of base station antennas (M) using
MRC indicated that system capacity for M = 128, 150, 200,
256, and 512 resulted in capacity of 29.53 bit/s/Hz, 30.36
bit/s/Hz, 31.85 bit/s/Hz, 33.12 bit/s/Hz, and 36.64 bit/s/Hz.
Further simulations were conducted to compare the
performance of MRC with selective combining (SC) and
equal gain combining (EGC). The results of the
comparison indicated that MRC outperformed SC and
EGC. Therefore, the results of the developed system
studied using typical parameters of 5G and implementing
MRC to achieve improved performance in terms of
capacity show it potential.
Keywords :
Large Scale MIMO, Maximum Ratio Combining, System Capacity, Wireless Communications.
Wireless mobile communication system has
become an attractive technology and continues to evolve
due to increasing demand for high data speed
performance. In order to achieve high rate of data and to
meet growing demand in mobile communication, large
scale multiple antennas system involving the use of
hundreds of antenna at the base station is regarded as a
promising technology for next generation of wireless
communication standard such as fifth generation (5G).
However, due to multipath effect in wireless channel, the
problem of severe attenuation in transmitted signal arises,
which makes it very difficult for the receiver at base station
(BS) to determine the optimum transmitted signal and
thereby causing system performance metrics such as
capacity to degrade. This paper presents maximizing
receive capacity in large scale multiple input multiple out
(or massive-MIMO) system based on maximal ratio
combining (MRC) beamforming. The system is designed
to mitigate multipath fading effect to improve system
performance. The mathematic model of massive multiple
antennas system channel was derived and maximum ratio
combining technique was formulated. The entire system
was modeled in MATLAB. Simulation results obtaining
considering wireless communication over Rayleigh fading
with varying number of base station antennas (M) using
MRC indicated that system capacity for M = 128, 150, 200,
256, and 512 resulted in capacity of 29.53 bit/s/Hz, 30.36
bit/s/Hz, 31.85 bit/s/Hz, 33.12 bit/s/Hz, and 36.64 bit/s/Hz.
Further simulations were conducted to compare the
performance of MRC with selective combining (SC) and
equal gain combining (EGC). The results of the
comparison indicated that MRC outperformed SC and
EGC. Therefore, the results of the developed system
studied using typical parameters of 5G and implementing
MRC to achieve improved performance in terms of
capacity show it potential.
Keywords :
Large Scale MIMO, Maximum Ratio Combining, System Capacity, Wireless Communications.
