Advances in Wireless and Mobile Networking—2nd Edition

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: 10 April 2026 | Viewed by 367

Special Issue Editors


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Guest Editor
School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85281, USA
Interests: network modeling and optimization; IoT; cyber–physical systems; smart grid systems; network economics; wireless networks; social networks; cybersecurity; resource management; reinforcement learning; human behavior modeling; concentrated solar power systems
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Guest Editor
Department of Software Engineering and Information Technology, École de Technologie Supérieure, Montreal, QC H3C 1K3, Canada
Interests: mobile networks; network virtualization; wireless networks; edge computing; network management; resource allocation; traffic analysis; mobility management; reinforcement learning; optimization

Special Issue Information

Dear Colleagues,

This Special Issue represents a discussion forum for researchers, professionals, and students interested in novel developments in mobile and wireless networks, services, and applications and mobile computing. The main topics of interest include (but are not limited to) the following:

  • Wireless and mobile communications and networks;
  • Wireless technologies design and evaluation;
  • Handoff, location, and resource management;
  • Network and service management and control;
  • Cognitive radio and Massive MIMO networking;
  • Network security solutions and protocols;
  • Traffic and network modeling;
  • Software-defined wireless networking;
  • Wireless Sensor and Actuator Networks;
  • Low-power wide area networks;
  • Vehicular cyber–physical networks ;
  • Communication technologies for the IoT;
  • Ad hoc networking, positioning localization and tracking;
  • Mobile cloud computing and applications;
  • Multi-access edge computing;
  • Multicasting and broadcasting issues;
  • Intelligent transportation systems;
  • Content management and distribution;
  • ML/AI for network management;
  • Knowledge, information, sensor, and data fusion: applications, approaches and algorithms;
  • Unmanned Aircraft Systems/Unmanned Aerial Vehicles/Drones/Remotely Piloted Aircraft Systems (UAS/UAV/RPAS) wireless and mobile networks communications and applications;
  • Wireless Networks for Energy and Power Systems.

Dr. Eirini Eleni Tsiropoulou
Prof. Diala Naboulsi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • wireless networks
  • edge computing
  • ad hoc networks
  • vehicular networks
  • wireless sensor networks
  • Internet of Things
  • security and privacy
  • network and service management
  • cognitive radio networking
  • massive MIMO communications

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Published Papers (1 paper)

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Research

35 pages, 2010 KiB  
Article
Intelligent Transmission Control Scheme for 5G mmWave Networks Employing Hybrid Beamforming
by Hazem (Moh’d Said) Hatamleh, As’ad Mahmoud As’ad Alnaser, Roba Mahmoud Ali Aloglah, Tomader Jamil Bani Ata, Awad Mohamed Ramadan and Omar Radhi Aqeel Alzoubi
Future Internet 2025, 17(7), 277; https://doi.org/10.3390/fi17070277 - 24 Jun 2025
Viewed by 287
Abstract
Hybrid beamforming plays a critical role in evaluating wireless communication technology, particularly for millimeter-wave (mmWave) multiple-input multiple-out (MIMO) communication. Several hybrid beamforming systems are investigated for millimeter-wave multiple-input multiple-output (MIMO) communication. The deployment of huge grant-free transmission in the millimeter-wave (mmWave) band is [...] Read more.
Hybrid beamforming plays a critical role in evaluating wireless communication technology, particularly for millimeter-wave (mmWave) multiple-input multiple-out (MIMO) communication. Several hybrid beamforming systems are investigated for millimeter-wave multiple-input multiple-output (MIMO) communication. The deployment of huge grant-free transmission in the millimeter-wave (mmWave) band is required due to the growing demands for spectrum resources in upcoming enormous machine-type communication applications. Ultra-high data speed, reduced latency, and improved connection are all promised by the development of 5G mmWave networks. Yet, due to severe route loss and directional communication requirements, there are substantial obstacles to transmission reliability and energy efficiency. To address this limitation in this research we present an intelligent transmission control scheme tailored to 5G mmWave networks. Transport control protocol (TCP) performance over mmWave links can be enhanced for network protocols by utilizing the mmWave scalable (mmS)-TCP. To ensure that users have the stronger average power, we suggest a novel method called row compression two-stage learning-based accurate multi-path processing network with received signal strength indicator-based association strategy (RCTS-AMP-RSSI-AS) for an estimate of both the direct and indirect channels. To change user scenarios and maintain effective communication constantly, we utilize the innovative method known as multi-user scenario-based MATD3 (Mu-MATD3). To improve performance, we introduce the novel method of “digital and analog beam training with long-short term memory (DAH-BT-LSTM)”. Finally, as optimizing network performance requires bottleneck-aware congestion reduction, the low-latency congestion control schemes (LLCCS) are proposed. The overall proposed method improves the performance of 5G mmWave networks. Full article
(This article belongs to the Special Issue Advances in Wireless and Mobile Networking—2nd Edition)
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