Designing future wireless networks (FWN) s with net zero (NZ) and zero touch (ZT) perspective

WB Abbas, QZ Ahmed, FA Khan, NS Mian… - IEEE …, 2023 - ieeexplore.ieee.org
Recent research in Future Wireless Networks (FWN) s have primarily focused on improving
spectral and energy efficiency, emphasizing less on reducing power consumption. Studies …

Learning-Aided Demand-Driven Elastic Architecture for 6G & Beyond

SK Kasi, US Hashmi, S Ekin… - 2023 IEEE 97th Vehicular …, 2023 - ieeexplore.ieee.org
With highly heterogeneous application requirements, 6G and beyond cellular networks are
expected to be demand-driven, elastic, user-centric, and capable of supporting multiple …

Future Communication Systems: Toward the Intelligent-based Optimization Approaches

L Kouhalvandi, M Alibakhshikenari… - … Networks and Mobile …, 2023 - ieeexplore.ieee.org
The wireless communication systems are expecting to include the high-end service quality
for the users and customers. In the last decade, the industry and academia are studying …

Positioning Error Impact Compensation through Data-Driven Optimization in User-Centric Networks

W Raza, FA Khan, MUB Farooq… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
The performance of user-centric ultra-dense networks (UCUDNs) hinges on the Service
zone (Szone) radius, which is an elastic parameter that balances the area spectral efficiency …

Designing Data-aided Demand-driven User-centric Architecture for 6G and Beyond Networks

SK Kasi - 2023 - shareok.org
Despite advancements in capacity-enhancing technologies like massive MIMO (multiple
input, multiple output) and intelligent reflective surfaces, network densification remains …

DeepWiN: Deep Graph Reinforcement Learning for User-Centric Radio Access Networks Automation

M Shaukat - 2023 - shareok.org
The future cellular networks are expected to support an increasing number of users with
heterogeneous applications, requiring varying network resources. Therefore, the 6G and …