Results 41 to 50 of about 2,866 (162)
Beyond fifth-generation (5G) heterogeneous networks (HetNets) are facing the challenge of accommodating enormous mobile users and data traffic with scarce spectrum resources in the microWave ( $\mu $ Wave) band.
Humayun Zubair Khan +5 more
doaj +1 more source
Downlink spectrum allocation in 5G HetNets [PDF]
Fifth generation mobile systems (5G) target an Average Area Spectral Efficiency (AASE) over hundred Gbps/km/user for future mobile systems with an Energy Dissipation (ED) per unit area similar to the current ED levels. Heterogeneous networks (HetNets) with high density of deployed small cells are currently adopted to aid in achieving the target ED and ...
Tamer R. Omar +2 more
openaire +1 more source
Framework for Task Offloading in O‐RAN Architecture for Heterogeneous Computing Applications
This work proposes a task offloading framework in ORAN architecture, optimizing computational assignment across user devices, edge cloud, and regional cloud. By efficiently selecting processing nodes and allocating computational and radio resources, it minimizes delay while accommodating diverse latency requirements for gold, silver, and bronze‐tier ...
Samira Taheri +3 more
wiley +1 more source
Improved Load Balancing for LTE-A Heterogeneous Networks using Particle Swarm Optimization
Heterogeneous networks (HetNets) are a promising means of meeting the requirements of Long Term Evolution-Advanced (LTE-A) in terms of data traffic, coverage and capacity.
MHD Amen Summakieh +3 more
doaj +1 more source
Proportional Fair RAT Aggregation in HetNets [PDF]
Extended version of the 31st International Teletraffic Congress (ITC 2019) conference ...
Aryafar, Ehsan +2 more
openaire +3 more sources
Interference Analysis of Beidou RDSS Users Traversing 5G Cell Networks
This letter breaks through the limitations of traditional static deterministic analysis by comprehensively considering cellular network configurations, Doppler frequency shifts, and base‐station switching and provides a thorough analysis of the coexistence and compatibility between RDSS users and 5G cellular networks in dynamic environments.
Liming Du +3 more
wiley +1 more source
This study introduces a meta‐federated deep reinforcement learning (Meta‐FedDRL) framework to address dynamic resource allocation (DRA) challenges in ultra‐dense and heterogeneous 5G and beyond network slicing. The proposed approach enables distributed learning while preserving data confidentiality and enhancing generalization.
Faustin Samafou +4 more
wiley +1 more source
An SDN/ML-Based Adaptive Cell Selection Approach for HetNets: A Real-World Case Study in London, UK
Heterogeneous networks (HetNets) are one of the key enabling technologies for next-generation networks. They aim to provide high capacity, low installation cost, and distributed traffic loads.
Ibtihal Ahmed Alablani +1 more
doaj +1 more source
Given the explosive increase in mobile data traffic, the wireless communication system of today and beyond has to be able to offer both high spectral efficiency and energy efficiency (EE) under challenging propagation environments such as deep indoor, high‐speed mobility, or tunneling. This work presents an improved structure of doing SIMO SC‐FDMA–DMWT
Mohammed Aboud Kadhim +3 more
wiley +1 more source
Compressive Sensing Based Spectrum Allocation and Power Control for NOMA HetNets
In this paper, a novel interference management technique based on compressive sensing (CS) theory is investigated for downlink non-orthogonal multiple access (NOMA) heterogeneous networks (HetNets). We mathematically formulate the interference management
Ahmed Nasser +3 more
doaj +1 more source

