Energy Harvesting Optimization of Uplink-NOMA System for IoT Networks Based on Channel Capacity Analysis Using the Water Cycle Algorithm

Bulut I. S., İlhan H.

IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING, cilt.5, sa.1, ss.291-307, 2021 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 5 Sayı: 1
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1109/tgcn.2020.3044557
  • Dergi Adı: IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.291-307
  • Anahtar Kelimeler: Internet of Things, NOMA, energy harvesting, channel capacity, Rician fading model, water cycle algorithm, exhaustive search algorithm, COMMUNICATION, INTERNET
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

This article presents energy harvesting (EH) in 5G networks for uplink-NOMA systems for Rician and Rayleigh fading channels via optimizing the radio frequency (RF) energy charging period and the data transmission rate for each user. The model aims to maximize the EH system's efficiency depending on the number of users, time-slot, resource blocks, path loss, and base station power (BS). In this work, a simple, efficient, and multi-objective the Water Cycle Algorithm (WCA) is presented for calculating transmission rate and EH duration. Furthermore, simulation, performance analysis, and complexity results of WCA are shown by comparing its performance to those of the standard well-known Exhaustive Search Algorithm (ESA), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO). According to the optimization results within 6,800,000 possibilities, the WCA provides 11 percent more power allocation for the energy harvesting and more smooth time-sharing per user than the literature.