AI-Enabled 6G Networks and Applications

5Design of Artificial Intelligence Enabled Dingo Optimizer for Energy Management in 6G Communication Networks

Pooja Singh^1,2, Marcello Carvalho dos Reis^3,4 and Victor Hugo C. de Albuquerque⁵

¹ Graduate Program in Telecommunication Engineering, Federal Institute of Education, Science and Technology of Ceará, Fortaleza, Brazil

² Department of Computer Science and Engineering, GL Bajaj Institute of Technology and Management, Greater Noida, Uttar Pradesh, 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

5.1 Introduction

The sixth generation (6G) network should give preferable execution over past generations to meet the necessities of emerging administrations and applications. The evolution of 6G network is shown in Figure 5.1. To lighten the growing energy constraints toward 6G, the scholarly world and industry have led broad exploration. Furthermore, the accessible answers to address the huge energy utilization primarily comes from two sections: energy‐proficient network design [1] and energy harvesting [2]. In particular, energy harvesting units, such as the sun powered chargers, wind turbines, and vibration reaper, are generally embraced to change the different sorts of energy over to power for the specialized gadgets [3]. Energy proficiency is one more interesting ...