Results 61 to 70 of about 3,968 (153)

Opportunistic Resource Allocation for URLLC and eMBB in 5G Networks with Time Varying Channels: a Genetic Algorithm Approach

open access: yesDiyala Journal of Engineering Sciences
The fifth-generation (5G) New Radio (NR) introduces stringent delay and reliability requirements to support diverse services, including enhanced mobile broadband (eMBB) and ultra-reliable low-latency communication (URLLC).
Zahraa Mehssen Agheeb Al Hamdawee1   +2 more
doaj   +1 more source

Latency-Aware Offloading in Integrated Satellite Terrestrial Networks

open access: yesIEEE Open Journal of the Communications Society, 2020
Next-generation communication networks are expected to integrate newly-used technologies in a smart way to ensure continuous connectivity in rural areas and to alleviate the traffic load in dense regions. The prospective access network in 6G should hinge
Wiem Abderrahim   +3 more
doaj   +1 more source

Dynamic mobility and handover management in software‐defined networking‐based fifth‐generation heterogeneous networks

open access: yesInternational Journal of Network Management, Volume 35, Issue 1, January/February 2025.
This article proposes an optimal next cell selection technique for users in the software‐defined heterogeneous network to tackle the challenges of handover and mobility management. The technique uses linear programming (LP) to facilitate optimal cell selection and reduce the number of user handovers based on multiple parameters, including user ...
Adil Khan   +5 more
wiley   +1 more source

On the Decoding of Polar Codes on Permuted Factor Graphs

open access: yes, 2018
Polar codes are a channel coding scheme for the next generation of wireless communications standard (5G). The belief propagation (BP) decoder allows for parallel decoding of polar codes, making it suitable for high throughput applications.
Doan, Nghia   +3 more
core   +1 more source

Simulation and Analysis of Mobile Access (SAMA): Cellular Radio Access Network Simulator and Performance Evaluator Applied to 5G

open access: yesIET Communications, Volume 19, Issue 1, January/December 2025.
This paper presents SAMA, a simulator for 5G Radio Access Networks (RAN), designed to evaluate the performance of different network configurations. The diagram illustrates the simulator's workflow: from inputs such as base station (BS) and user equipment (UE) arrangements, SAMA simulates resource allocation and scheduling, considering interference.
Christian Fragoas F. Rodrigues   +2 more
wiley   +1 more source

Physical Uplink Control Channel Design for 5G New Radio

open access: yes, 2018
The next generation wireless communication system, 5G, or New Radio (NR) will provide access to information and sharing of data anywhere, anytime by various users and applications with diverse multi-dimensional requirements.
Cho, Joonyoung   +2 more
core   +1 more source

Exploring the Potential of AI in Network Slicing for 5G Networks: An Optimisation Framework

open access: yesIET Communications, Volume 19, Issue 1, January/December 2025.
Our approach is to incorporate precise programming of segment routing over IPv6 (SRv6) identifiers, allowing dynamic assignment of SIDs based on predicted slice types, accurately distinguishing up to 40,000 eMBB slices and separating uRLLC and mMTC slices with high proficiency.
Zeina Boufakhreddine   +4 more
wiley   +1 more source

Breaking Orthogonality in Uplink With Randomly Deployed Sources

open access: yesIEEE 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   +5 more
doaj   +1 more source

Machine learning approach of multi‐RAT selection for travelling users in 5G NSA networks

open access: yesIET Networks, Volume 14, Issue 1, January/December 2025.
The authors present RAT selection algorithm for efficient resource allocation for public bus travelling user(s), utilising live data from multiple 5G NSA base stations. Models of the supervised machine learning algorithms: SVM, DNN and XGBoost were deployed for implementation to predict or select the appropriate RAT between 4G and 5G RATs.
Nurudeen O. Salau   +2 more
wiley   +1 more source

IoT‐5G and B5G/6G resource allocation and network slicing orchestration using learning algorithms

open access: yesIET Networks, Volume 14, Issue 1, January/December 2025.
In this article, the challenges related to the evolution of 5G and B5G/6G networks are examined more closely. The authors then primarily focus on machine learning solutions for resource allocation in 5G and B5G/6G networks. The requirements for dynamic network slicing orchestration are also analysed.
Ado Adamou Abba Ari   +5 more
wiley   +1 more source

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