6Adaptive Whale Optimization with Deep Learning Enabled RefineDet Network for Vision Assistance on 6G Networks
Vinita Malik1,2, Marcello Carvalho dos Reis3,4 and Victor Hugo C. de Albuquerque5
1 Graduate Program in Telecommunication Engineering, Federal Institute of Education, Science and Technology of Ceará, Fortaleza, Brazil
2 Central Library, Central University of Haryana, Mahendragarh, Haryana, India
3 Graduate Program in Telecommunication Engineering, Federal Institute of Education, Science and Technology of Ceará, Fortaleza, Brazil
4 Meteora, Fortaleza, Brazil
5 Department of Teleinformatics Engineering, Federal University of Ceará, Fortaleza, Brazil
6.1 Introduction
As the global deployment of 5G networks progresses, next‐generation (6G) network technology has been technologically advanced to assist artificial intelligence (AI) in deploying of “smart” network [1]. The fifth generation (5G) network provides reliable communication, higher speed, and lower latency services and makes greater difference in their day to day lives [2]. But it could be complex for meeting the increasing demand of Internet of Things (IoT) devices depending on the present technology, hence the idea of sixth generation (6G) network has been increased for improving the current 5G network and promoting the expansion of smart application. The vision of the 6G network is colorful; however, the comprehension of 6G network continues to be problematic, involving high throughput, high peak, high energy ...
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