Power Control for Next Generation of Wireless Systems

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 1758

Special Issue Editor

Facultad de Ciencias, Universidad Autónoma de San Luis Potosí, San Luis Potosí, Mexico
Interests: digital signal processing; control theory; optimization; detection and estimation; machine learning

Special Issue Information

Dear Colleagues,

For environmental, economic, and health issues, power control (PC) is a fundamental resource allocation scheme that is able to balance quality of service (QoS), capacity and efficiency in wireless communications. In wireless sensor networks, dynamic PC can increase battery capacity and guarantee QoS in the communication links, especially for mobile nodes. In 5G and 6G communications, PC can increase the capacity of the network through a non-orthogonal multiple-access strategy and multi-user detection, reduce the network energy consumption, and decrease interference in the cells by optimizing device-to-device links. In vehicular communications, PC can mitigate the channel non-stationary behavior to reach high reliability or to maintain a desired QoS, and also can help to improve the overall efficiency of the network. In its problem formulation, a key element is to model the wireless communication network and the feedback mechanism for PC, as well as to define proper performance metrics. In this sense, the channel modeling and the estimation of network latency are central components. The mathematical tools that have been used to derive PC algorithms are diverse in nature, for example, constrained optimization, game theory, automatic control, and, recently, artificial intelligence (deep and machine learning). By the state of the art in the field, PC will be a distinctive element to unleash the full potential of 5G communications and to address the future challenges of 6G technologies. This Special Issue will be focused on novel PC methodologies with special interest paid to applications to IoT, vehicular networks, mobile sensor networks and 5G/6G technologies. Theoretical and experimental studies are welcomed with a clear contribution to expand the knowledge in the capabilities of PC to guarantee QoS, capacity and efficiency.

Prof. Dr. Daniel Ulises Campos-Delgado
Guest Editor

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Keywords

  • wireless communications
  • internet of things
  • wireless sensor networks
  • vehicular communications
  • optimization
  • machine learning
  • artificial intelligence
  • game theory
  • 5G communications
  • 6G communications

Published Papers (1 paper)

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Research

35 pages, 4023 KiB  
Article
Towards Enabling Fault Tolerance and Reliable Green Communications in Next-Generation Wireless Systems
by Rajkumar Singh Rathore, Omprakash Kaiwartya, Kashif Naseer Qureshi, Ibrahim Tariq Javed, Wamda Nagmeldin, Abdelzahir Abdelmaboud and Noel Crespi
Appl. Sci. 2022, 12(17), 8870; https://0-doi-org.brum.beds.ac.uk/10.3390/app12178870 - 04 Sep 2022
Viewed by 1349
Abstract
Green communications have witnessed significant attention being paid to the next generation of wireless systems research and development. This is due to growing use of sensor- and battery-oriented smart wireless devices. The related literature in green communications for next-generation wireless systems majorly relies [...] Read more.
Green communications have witnessed significant attention being paid to the next generation of wireless systems research and development. This is due to growing use of sensor- and battery-oriented smart wireless devices. The related literature in green communications for next-generation wireless systems majorly relies on transmission and sensing power management, but lacks a fault-tolerant centric approach. In this context, this paper presents a fault-tolerant and reliable green communications framework for next-generation wireless systems (FRGNWS). Firstly, maximum node-disjoint routes from all source nodes to the base station are identified based on the hybrid adapted grey wolf sine cosine optimizer. Secondly, a fault-tolerant and reliable route is selected from the maximum disjoint routes for each sensor node to the base station based on the hybrid adapted grey wolf whale optimizer. The performance of our proposed green communications framework is assessed by simulation experiments considering a realistic implementation scenario and different metrics. Simulation results clearly validate the efficacy of the proposed green communications framework as compared to the state-of-the-art techniques. Full article
(This article belongs to the Special Issue Power Control for Next Generation of Wireless Systems)
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