[HTML][HTML] Towards 6G Internet of Things: Recent advances, use cases, and open challenges
Smart services based on the Internet of Everything (IoE) are gaining considerable popularity
due to the ever-increasing demands of wireless networks. This demands the appraisal of the …
due to the ever-increasing demands of wireless networks. This demands the appraisal of the …
A comprehensive survey on radio frequency (rf) fingerprinting: Traditional approaches, deep learning, and open challenges
Fifth generation (5G) network and beyond envision massive Internet of Things (IoT) rollout to
support disruptive applications such as extended reality (XR), augmented/virtual reality …
support disruptive applications such as extended reality (XR), augmented/virtual reality …
Intelligent zero trust architecture for 5G/6G networks: Principles, challenges, and the role of machine learning in the context of O-RAN
K Ramezanpour, J Jagannath - Computer Networks, 2022 - Elsevier
In this position paper, we discuss the critical need for integrating zero trust (ZT) principles
into next-generation communication networks (5G/6G). We highlight the challenges and …
into next-generation communication networks (5G/6G). We highlight the challenges and …
Intelligent massive MIMO systems for beyond 5G networks: An overview and future trends
Machine learning (ML) which is a subset of artificial intelligence is expected to unlock the
potential of challenging large-scale problems in conventional massive multiple-input …
potential of challenging large-scale problems in conventional massive multiple-input …
[HTML][HTML] Sixth generation (6G) cognitive radio network (CRN) application, requirements, security issues, and key challenges
Recently, 5G installation has been started globally. Different capabilities are in the
consistent procedure, like ultrareliability, mass connectivity, and specific low latency …
consistent procedure, like ultrareliability, mass connectivity, and specific low latency …
Efficient resource management in 6G communication networks using hybrid quantum deep learning model
The sixth generation (6G) wireless communication network is expected to provide wide-
ranging coverage, short latency, cost effectiveness, lower power consumption, and a high …
ranging coverage, short latency, cost effectiveness, lower power consumption, and a high …
[PDF][PDF] 基于轻量级深度神经网络的电磁信号调制识别技术
张思成， 林云， 涂涯 - Journal on Communication/Tongxin …, 2020 - infocomm-journal.com
针对6G 时代将会是移动通信与人工智能紧密结合的时代, 产生数量庞大的边缘智能信号处理
节点的趋势, 提出了一种可部署于资源受限的边缘设备上的高效智能电磁信号识别模型. 首先 …
节点的趋势, 提出了一种可部署于资源受限的边缘设备上的高效智能电磁信号识别模型. 首先 …
Digital twin virtualization with machine learning for IoT and beyond 5G networks: Research directions for security and optimal control
J Jagannath, K Ramezanpour… - Proceedings of the 2022 …, 2022 - dl.acm.org
Digital twin (DT) technologies have emerged as a solution for real-time data-driven
modeling of cyber physical systems (CPS) using the vast amount of data available by …
modeling of cyber physical systems (CPS) using the vast amount of data available by …
Deep unfolding hybrid beamforming designs for THz massive MIMO systems
Hybrid beamforming (HBF) is a key enabler for wideband terahertz (THz) massive multiple-
input multiple-output (mMIMO) communications systems. A core challenge with designing …
input multiple-output (mMIMO) communications systems. A core challenge with designing …
Multi-task learning approach for modulation and wireless signal classification for 5G and beyond: Edge deployment via model compression
A Jagannath, J Jagannath - Physical Communication, 2022 - Elsevier
Future communication networks must address the scarce spectrum to accommodate
extensive growth of heterogeneous wireless devices. Efforts are underway to address …
extensive growth of heterogeneous wireless devices. Efforts are underway to address …