Application of reinforcement learning and deep learning in multiple-input and multiple-output (MIMO) systems
The current wireless communication infrastructure has to face exponential development in
mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems …
mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems …
Fuzzy logic based decoder for single-user millimeter wave systems under impulsive noise
The conventional millimeter wave systems are mostly designed to operate only for the
Gaussian noise model. In many physical channels, such as urban and indoor radio …
Gaussian noise model. In many physical channels, such as urban and indoor radio …
A deep learning detector for 3D massive MIMO systems with impulsive noise
S Wang, F Li, T Li, W Ji, Y Liang - 2021 13th International …, 2021 - ieeexplore.ieee.org
In this paper, the signal detection problem of the Three dimensional Massive Multiple-input
multiple-output (3D Massive MIMO) wireless communication system with impulsive noise is …
multiple-output (3D Massive MIMO) wireless communication system with impulsive noise is …
Performance Enhancement of Satellite-to-Ground FSO System using Deep Learning-Based Detection
This paper proposes to use deep learning to improve the performance of satellite-to-ground
free-space optical (FSO) communication system under the negative impact of many physical …
free-space optical (FSO) communication system under the negative impact of many physical …
[PDF][PDF] Hybrid Decoder with an Adaptive Fuzzy Logic Filter for Single-User Millimeter Wave Systems Under Impulsive Noise
The conventional millimeter wave systems are mostly designed to operate only for the
Gaussian noise model. Although this model simplifies the noise removal problem, recent …
Gaussian noise model. Although this model simplifies the noise removal problem, recent …