(PDF) Intelligent and Reliable Cognitive 5G Networks Using Whale ...
In this field of research, attempts have been made to develop new techniques to improve the reliability and channel capacity in 5G Networks using WOA, LDPC and Cognitive Concepts.
In forthcoming networks for high definition radio large bandwidth, low latency and several emergence applications like e-health, Industrial IOT, smart transportation etc. will be conquered by 5G networks . Therefore, more capacity and consequently efficient spectrum...
Intelligent and Reliable Cognitive 5G Networks Using Whale ...
The striking operational features of fifth-generation ( 5G ) cellular networking can meet such curbs to gratify upcoming situations. The characterization of highly assorted, ultra-dense, and highly mutable environments will shape up the above- mentioned networks .
The findings indicate that 5G New Radio outperforms other technologies in most metrics, providing superior QoS during handover, especially when optimized using CWOA. Keywords - Chaotic Whale Optimization, Fifth Generation wireless networks , Handover/Handoff, LTE-A, Nature inspired meta-heuristics.
Dynamic Optimization in 5G Network Slices
This study presents a comprehensive framework for optimizing 5G network slices using metaheuristic algorithms, focusing on Enhanced Mobile Broadband (eMBB), Ultra- Reliable Low-Latency ...
Recently, Artificial Intelligence (AI)-driven spectrum management in 5G networks leverages learning techniques to reduce allocation of resources and identify the patterns in traffic that leads to effective communication of wireless devices. However, it faced challengers include complex network and providing security to data. To overcome these challenges, various Machine Learning (ML ...
PDF GLM
Its ability to adaptively manage diverse service requirements positions it as a vital tool for intelligent and scalable 5G slicing management. Keywords: 5G network slicing, Bayesian generalized linear model (GLM), Whale optimization algorithm (WOA), Feature selection, Slice classification, Machine learning.
Recently, Artificial Intelligence (AI)-driven spectrum management in 5G networks leverages learning techniques to reduce allocation of resources and identify the patterns in traffic that leads to effective communication of wireless devices. However, it faced challengers include complex network and providing security to data.
Optimal power and resource allocation for 5G oriented system using a ...
Therefore, in this manuscript, the optimal power and resource allocation for 5G oriented system using a hybrid whale and hosted cuckoo (Hyb-WHC) optimisation algorithm is proposed for solving EE resource allocation problems under MC-NOMA system.
As we delve deeper into the intricacies of ADCs and navigate the complexities of network optimization, the collaborative efforts of engineers, researchers, and technologists pave the way for a future where the power of 5G is fully realized, and the potential of intelligent connectivity is unleashed.