Learning-Based Intelligent Reflecting Surface-Aided Cell-Free Massive MIMO Systems

Holographic MIMO with Integrated Sensing and Communication for Energy-Efficient Cell-Free 6G Networks

A Adhikary, AD Raha, Y Qiao, W Saad… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Sixth-generation wireless networks are required to satisfy the ever-increasing demands of
diverse applications to guarantee power savings, energy efficiency, and mass connectivity …
被引用次数：4 相关文章 所有 3 个版本

Intelligent Omni Surface-Assisted Cell-Free Massive MIMO System for 6G Wireless Network

A Adhikary, AD Raha, Y Qiao, GF Ejigu… - 2023 International …, 2023 - ieeexplore.ieee.org
The coming 6G wireless communication system requires an intelligent networking system
with higher network capacity. Therefore, we consider an intelligent omni surface (IOS) …
被引用次数：6 相关文章 所有 2 个版本

Fast Beamforming for IRS Assisted Multi-user Communication Systems by Lightweight Unsupervised Learning

C Yue, H Tang, L Chai - IEEE Transactions on Vehicular …, 2024 - ieeexplore.ieee.org
Iterative optimization algorithms excel in beamforming design but usually suffer from high
computational latency. In this paper, we present a lightweight unsupervised learning model …
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Waveform Design for Radar Anti Jamming with Ris Using Reinforcement Learning

MM Aziz, A Habib, A Zafar - Available at SSRN 4861098 - papers.ssrn.com
Technology is developing at a rapid pace, creating a complex and ever-changing radar
environment that has a significant influence on warfare. Repeater jammers cause an …
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