Designing future wireless networks (FWN) s with net zero (NZ) and zero touch (ZT) perspective
Recent research in Future Wireless Networks (FWN) s have primarily focused on improving
spectral and energy efficiency, emphasizing less on reducing power consumption. Studies …
spectral and energy efficiency, emphasizing less on reducing power consumption. Studies …
Implementation of the deep learning method for signal detection in massive-MIMO-NOMA systems
The deep learning method (DLM) is one way to fix issues in optical nonorthogonal multiple
access (O-NOMA) systems that are caused by signals that overlap and interfere with each …
access (O-NOMA) systems that are caused by signals that overlap and interfere with each …
Heuristic Antenna Selection and Precoding for a Massive MIMO System
Sixth Generation (6G) transceivers are envisioned to feature massively large antenna arrays
compared to its predecessor. This will result in even higher spectral efficiency (SE) and …
compared to its predecessor. This will result in even higher spectral efficiency (SE) and …
Hybrid Beamforming for Mmwave Massive MIMO Systems Using Conditional Generative Adversarial Networks
Massive multiple-input multiple-output (MIMO) systems operating in millimeter wave
(mmWave) frequency bands are considered to be one of the key enablers of beyond-fifth …
(mmWave) frequency bands are considered to be one of the key enablers of beyond-fifth …
DPC-CNN Algorithm for Multiuser Hybrid Precoding With Dynamic Structure
F Liu, Z Duan, L Zhang, B Shi, Y Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper presents a dynamic partially connected (DPC) structure-based convolutional
neural network (CNN) hybrid precoding with multi-user optimization algorithm. In the …
neural network (CNN) hybrid precoding with multi-user optimization algorithm. In the …