Double deep reinforcement learning assisted handovers in 5g and beyond cellular networks

S Verma, S Abhirami, A Kumar… - 2023 15th International …, 2023 - ieeexplore.ieee.org
In 5G and beyond cellular networks, the typical cell size has been reducing to provide higher
data rates and meet the low latency requirements. Such ultra-dense deployments of base …

Session-aware recommender system using double deep reinforcement learning

P Khurana, B Gupta, R Sharma, P Bedi - Journal of Intelligent Information …, 2023 - Springer
Session-aware recommender systems capture user-specific preferences that emerge within
multiple user sessions by leveraging the sequential nature of user interactions. Existing …

Double‐deep Q‐learning‐based handover management in mmWave heterogeneous networks with dual connectivity

H Wang, B Li - Transactions on Emerging Telecommunications …, 2024 - Wiley Online Library
Millimeter wave (mmWave) technology, with its abundant spectrum resources and ultra‐high
bandwidth, plays a crucial role in meeting the ultra‐high throughput requirements of future …

Fuzzy logic and accelerated reinforcement learning-based user association for dense c-RANs

RT Rodoshi, T Kim, W Choi - IEEE Access, 2021 - ieeexplore.ieee.org
Cloud radio access network (C-RAN) is a potential mobile network architecture providing
seamless connectivity to users with high data rates by integrating it with the small-cell …

Evolutionary Iterated Local Search meta‐heuristic for the antenna positioning problem in cellular networks

L Benmezal, B Benhamou… - Computational …, 2022 - Wiley Online Library
Radio network planning is a core problem in cellular networks. It includes coverage,
capacity and parameter planning. This paper investigates the Antenna Positioning Problem …

A mean opinion score prediction model for VoIP calls offloading handover from LTE to WiFi

N Mouhassine, M Moughit - Cluster Computing, 2024 - Springer
With the surge in mobile data traffic, leveraging Wi-Fi has become pivotal to alleviate the
strain on LTE networks. An essential challenge lies in selecting the optimal Wi-Fi access …

AI-Based Approaches for Handover Optimization in 5G New Radio and 6G Wireless Networks

AF Ashour, MM Fouda - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
In the future, communication networks such as fifth-generation new radio (5G NR) and sixth-
generation (6G) will require large data rates and capacities. As a result, mmWave and …

Deep Q-Networks Assisted Pre-connect Handover Management for 5G Networks

Y Wei, CH Lung, S Ajila… - 2023 IEEE 97th Vehicular …, 2023 - ieeexplore.ieee.org
Handover management is crucial for wireless networks and is more challenging for Fifth
Generation (5G) networks due to strict requirements in quality of service (QoS), such as ultra …

RAT Selection Strategies for Next-Generation Wireless Networks: A Taxonomy and Survey

B Priya, J Malhotra - Proceedings of the International Conference on …, 2022 - Springer
Next-generation wireless network is the revolutionary technology envisioned to support the
legions of heterogeneous data traffic and unprecedented deployment scenarios. In …

Vertical Handoff Algorithm Considering Load Balance and User Experience

MA Bin, Z Shilin, XIE Xianzhong, C Xin - 电子与信息学报, 2022 - jeit.ac.cn
In ultra dense heterogeneous wireless networks, a vertical handoff algorithm considering
Load Balancing and User Experience (LBUE) is proposed to solve the problem of network …