Results 61 to 70 of about 3,908 (157)
IET 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
Exploring the Potential of AI in Network Slicing for 5G Networks: An Optimisation Framework
IET 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
Diyala Journal of Engineering SciencesThe 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
Improved Successive Cancellation Flip Decoding of Polar Codes Based on Error Distribution
, 2018 Polar codes are a class of linear block codes that provably achieves channel capacity, and have been selected as a coding scheme for $5^{\rm th}$ generation wireless communication standards.
Condo, Carlo +2 more
core +1 more source
Machine learning approach of multi‐RAT selection for travelling users in 5G NSA networks
IET 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
IET 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
Breaking Orthogonality in Uplink With Randomly Deployed Sources
IEEE Open Journal of the Communications SocietyThe 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
On the Decoding of Polar Codes on Permuted Factor Graphs
, 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
International Journal of Antennas and Propagation, Volume 2025, Issue 1, 2025.Antenna Array imperfection calibration is an important concern in direction‐of‐arrival (DOA) estimation in 5 G millimeter Wave (mmWave) massive Multiple Input Multiple Output (mMIMO) systems. As the number of elements in mMIMO systems increases, array imperfections tend to increase, degrading the DOA estimation performance.
Aquino S. +2 more
wiley +1 more source
, 2018 Tässä opinnäytetyössä tutkittiin yleisesti 5G-teknologiaa. Työssä tarkasteltiin matkapuhelinjärjestelmiä, sekä niiden historiaa aikaisempien sukupolvien osalta.
Virhiä, Teemu
core