Results 31 to 40 of about 535 (135)

A Cross‐Layer Spatial–Spectral Optimization Framework for Hybrid Routing and Load‐Balanced Channel Allocation in Intelligent Networks

Engineering Reports, Volume 8, Issue 5, May 2026.
Rapid 5G/6G evolution demands cross‐layer resource management to address congestion, latency, and reliability in multi‐hop wireless networks. This paper proposes a TOHRP–LBCA framework using DSA and congestion−/topology−/interference‐aware routing and channel allocation, yielding throughput gains, lower latency, improved packet delivery, and higher ...
Emmanuel Ahatsi, Oludolapo Olanrewaju
wiley   +1 more source

A Survey on NB-IoT Random Access: Approaches for Uplink Radio Access Network Congestion Management

IEEE Access
Narrowband Internet of Things (NB-IoT) is one of the most promising technologies for enabling reliable communication among low-power, and low cost devices present in massive machine-type communications (mMTC). In NB-IoT, random access (RA) is implemented
Loini Iiyambo, Gerhard Hancke, Adnan M. Abu-Mahfouz   +2 more
doaj   +1 more source

Performance Analysis of CA‐Polar Code for 5G‐IoT Low Power Wide Area Networks

Internet Technology Letters, Volume 9, Issue 2, March/April 2026.
ABSTRACT CRC‐Aided Polar (CA‐Polar) codes are the standardized channel coding scheme for control channels of 5G eMBB service class due to their capacity achieving performance. This work aims to assess the compatibility and scalability of CA‐Polar codes toward low power IoT applications coming under the domain of LPWAN.
Abhilasha Gautam, Prabhat Thakur, Ghanshyam Singh   +2 more
wiley   +1 more source

Federated Learning and 5G/6G‐Based Internet of Medical Things (IoMT): Applications, Key Enabling Technologies, Open Issues and Future Research Directions

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
This review examines the integration of federated learning (FL) in the Internet of Medical Things (IoMT), enhanced by 5G/6G technologies, to improve healthcare systems with decentralized data processing, enhanced privacy, reduced latency, and efficient resource utilization, while addressing emerging challenges and future research directions.
Abdul Ahad, Kazi Istiaque Ahmed, Farhan Ullah, Muhammad Aman Sheikh, Mohammad Tahir, Mohammad Hayajneh, Ivan Miguel Pires   +6 more
wiley   +1 more source

A Massive Grant‐Free Random Access Scheme Based on Spectrum Sensing and Preamble Delay

IET Communications, Volume 20, Issue 1, January/December 2026.
This paper introduces cognitive radio (CR) and preamble delay (PD) to reduce access collisions, together with non‐orthogonal multiple access (NOMA) to improve spectrum efficiency, and thus proposes an efficient CR‐NOMA‐PD‐based massive grant‐free random multiple access scheme.
Jing Zhang, Zhuang‐Zhuang Wei, Yu‐Qi Zhang, Hong‐Xu Gao, Hai‐Tao Zhao, Hong‐Bo Zhu   +5 more
wiley   +1 more source

Optimizing Subchannel Assignment and Power Allocation for Network Slicing in High-Density NOMA Networks: A Q-Learning Approach

IEEE Access
The growing number of connected devices in high-density environments poses serious challenges for accommodating and managing these devices across different network slicing services, such as ultra-reliable low-latency communication (URLLC) and massive ...
Suhare Solaiman
doaj   +1 more source

Communication‐Security Co‐Design for Federated Learning in Grant‐Free NOMA IoT Networks

IET Communications, Volume 20, Issue 1, January/December 2026.
This article presents SA‐PPO, a Security‐Aware Proximal Policy Optimisation framework for federated learning over grant‐free NOMA (non‐orthogonal multiple access) in IoT networks. By jointly optimising access control, resource allocation, and trust‐weighted aggregation using cross‐layer indicators, SA‐PPO enhances both communication reliability and ...
Emmanuel Atebawone, Kwame Opuni‐Boachie Obour Agyekum, James Dzisi Gadze, Kwasi Adu‐Boahen Opare, Owusu Agyeman Antwi, Robert Akromond   +5 more
wiley   +1 more source

Breaking Orthogonality in Uplink With Randomly Deployed Sources

IEEE Open Journal of the Communications Society
The requirement of the upcoming sixth-generation (6G) wireless communication systems to significantly elevate the services of enhanced mobile broadband (eMBB) and massive machine-type communications (mMTC) necessitates the design and investigation of ...
Apostolos A. Tegos, Sotiris A. Tegos, Dimitrios Tyrovolas, Panagiotis D. Diamantoulakis, Panagiotis Sarigiannidis, George K. Karagiannidis   +5 more
doaj   +1 more source

Self-Organizing Networks for 5G and Beyond: A View from the Top

Future Internet, 2022
We describe self-organizing network (SON) concepts and architectures and their potential to play a central role in 5G deployment and next-generation networks.
Andreas G. Papidas, George C. Polyzos
doaj   +1 more source

Securing Machine‐Type Communications: A Survey on Privacy Threats and Countermeasures

IET Information Security, Volume 2026, Issue 1, 2026.
Machine‐type communication (MTC) is a fundamental enabler of the Internet of Things (IoT) and emerging 5G/6G networks, supporting massive deployments of heterogeneous and resource‐constrained devices. However, large‐scale data collection, persistent connectivity, and limited device capabilities introduce critical privacy challenges that are not ...
Amirhosein Imani, Alireza Keshavarz-Haddad, Peican Zhu   +2 more
wiley   +1 more source