ABSTRACT
This article covers the potential of Filter Bank Multicarrier (FBMC) modulation as an alternative to be used in the future 5 G wireless networks in which Massive Multiple-Input Multiple-Output (MIMO) is implemented. The ‘energy efficient Massive Multiple Input Multiple Output (M-MIMO) Filter bank Multi-carrier Modulation (FBMC)’ is necessary and beneficial for the upcoming wireless communiqué system. This is because there is an ever-increasing demand for higher data rates with higher Spectral Efficiency (SE). This paper compares orthogonal frequency division multiplexing (OFDM) with FBMC. This helps to evaluate the Spectral Efficiency (SE) of a Massive MIMO system that performs transmission under a unicellular environment. The variation in Massive MIMO allows equilibrium of the channel because FBMC has extra benefits due to the confinement of the subcarrier in an assigned range. However, the high Peak to Average Power Ratio (PAPR) in an M-MIMO-FBMC system is recognised as a serious problem that causes nonlinear signal deformation and restricts the effectiveness of the Power Amplifier (PA). In this work, to increase the SE in the system, the antenna count is optimised, such that the SNR or SNDR is maximum. For this, the antenna counts are optimised via Self Improved SSO with a Chaotic Map (SISSO-CM).
Disclosure statement
No potential conflict of interest was reported by the author(s).
Nomenclature
Abbreviation | = | Description |
AFB | = | Analysis Filter Bank |
BS | = | Base Station |
BES | = | Bald Eagle Search |
BF | = | Butterfly Optimization |
CP | = | Cyclic Prefix |
EE | = | Energy Efficiency |
FBMC | = | Filter Bank Multi-Carrier Modulation |
ICI | = | Inter Carrier Interference |
IAM | = | Interference Approximation Method |
IUI | = | Inter-User Interference |
ISI | = | Inter Symbol Interference |
IFFT | = | Inverse FFT |
FFT | = | Fast Fourier Transform |
FT | = | Fourier Transform |
FB | = | Filter Bank |
3GPP | = | 3rd Generation Partnership Project |
GOFDM | = | Generalized Orthogonal Frequency Division Multiplexing |
LA | = | Lion Algorithm |
ML | = | Maximum Likelihood |
M-MIMO | = | Massive MIMO |
MIMO | = | Multiple Input Multiple Output |
MMSE | = | Minimum Mean Square Error |
OQAM | = | Offset Quadrature Amplitude Modulation |
OFDM | = | Orthogonal Frequency Division Multiplexing |
PAPR | = | Peak To Average Power Ratio |
PSD | = | Power Spectral Density |
PA | = | Power Amplifier |
PR-QMF | = | Perfect Reconstruction-Quadrature Mirror Filter |
PRO | = | Poor Rich Optimization |
QoS | = | Quality of Service |
SE | = | Spectral Efficiency |
SIR | = | Signal Interference Ratio |
SFB | = | Synthesis Filter Bank |
SISSO-CM | = | Self Improved SSO With Chaotic Map |
SMO | = | Spider Monkey Optimization |
SNDR | = | Signal-to-Noise and Distortion Ratio |
SSO | = | Shark Smell Optimization |
TF | = | Time Frequency |
WLS | = | Weighted Least Squares |
ZF | = | Zero Forcing |