Advances and Challenges in Future Networks

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: closed (15 January 2024) | Viewed by 2910

Special Issue Editors


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Guest Editor
Department of Computer Science and Information Engineering, Providence University, Taichung 433719, Taiwan
Interests: design and performance analysis of communication protocols; AI deep-learning for networking; 5G/6G mobile networks; vehicular networks; wireless networks; QoS, IoT

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Guest Editor
Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung 80424, Taiwan
Interests: network; routing; computer networking; network architecture; network communication; QoS; networking; cloud computing; TCP; wireless computing
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Special Issue Information

Dear Colleagues,

We are delighted to invite you to submit your papers to the upcoming Special Issue of Electronics, entitled “Advances and Challenges in Future Networks”.  The details are provided below.

Future networks, including the highly anticipated sixth-generation (6G) networks, are expected to facilitate real-time interactions between humans, cyber systems, and physical devices. They are also expected to natively integrate AI mechanisms, provide global coverage across different domains (space, air, ground, and water), and enable ubiquitous intelligence by integrating communications, sensing, and computing capabilities. Specifically, future wireless networks will revolutionize the mobile networking paradigm by elevating service quality and improving the user experience to meet the demands of a data-driven and AI-based society.

However, the current architectures, protocols, and technologies of the Internet and 5G networks may not be adequate to meet the demands of these future use cases. In particular, the need for continuous service in high-mobility scenarios presents significant challenges that require innovative designs and optimizations for both present and future networks. Such innovations should facilitate the exchange of information, such as policy, intent, and performance indicators, to support a growing number of active devices and larger volumes of data.

To address the importance of advancing future networks, this Special Issue aims to collect recent developments in communication systems that concentrate on novel optimization approaches, network designs, protocols, and technologies for future networking. Specifically, this Issue welcomes the submission of creative and original ideas from academia, industry, and government on optimization methods, network algorithms, design methodologies, communication protocols, service schemes, and practical systems. Potential topics for inclusion in this Issue include, but are not limited to, the following:

  • Advanced radio resource management for 5G and beyond;
  • Mathematical optimization for wireless communications;
  • Distributed, centralized, and hybrid algorithms for future networking;
  • Wireless power transfer and energy harvesting techniques;
  • Energy-efficient communication schemes;
  • Distributed learning and game theory for wireless communications;
  • Model-based and data-driven network controls;
  • Deep reinforcement learning enabled intelligent networks;
  • AI-driven optimization technologies;
  • Recent advances on Vehicle-to-Everything (V2X) networks;
  • Novel designs of massive MIMO, MU-MIMO, Multi-RAT systems;
  • Advanced beamforming and signal processing techniques;
  • 6G space–air–ground integrated network architectures, protocols, and algorithms;
  • Emerging technologies on small cell and cell-free wireless networks;
  • Inventive algorithms and optimizations for future networks;
  • Survey or review papers on future networks;
  • Testbed or case studies on future networks.

We look forward to receiving your contributions.

Prof. Dr. Jain-Shing Liu
Dr. Chunhung Richard Lin
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. Electronics is an international peer-reviewed open access semimonthly 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 2400 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

  • 5G, B5G, and 6G
  • key technologies for future networks
  • algorithms, protocols, and optimizations for networking
  • AI-enabled intelligent networks
  • deep reinforcement learning for communication

Published Papers (2 papers)

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Research

20 pages, 1342 KiB  
Article
Use of QUIC for Mobile-Oriented Future Internet (Q-MOFI)
by Muhammad Tauqeer, Moneeb Gohar, Seok Joo Koh and Hani Alquhayz
Electronics 2024, 13(2), 431; https://doi.org/10.3390/electronics13020431 - 19 Jan 2024
Viewed by 1281
Abstract
With the proliferation of mobile devices and various mobile services, ensuring smooth mobility for users has become a major challenge. The future internet is expected to be more mobile-friendly, with advancing technologies that will transform internet management in the coming decades. These technological [...] Read more.
With the proliferation of mobile devices and various mobile services, ensuring smooth mobility for users has become a major challenge. The future internet is expected to be more mobile-friendly, with advancing technologies that will transform internet management in the coming decades. These technological advancements will help address mobility issues and provide a better internet experience for mobile devices and users. The transport layer plays a crucial role in the internet protocol suite by enabling communication between applications running on different servers. However, the widely used protocols, TCP and UDP, have several limitations, such as unreliability and slow performance due to three-way handshakes. To tackle these issues, Google introduced quick UDP internet connections (QUIC). QUIC aims to enhance latency, delay, and data transmission reliability. Q-MOFI, a future internet architecture focused on mobile devices and based on QUIC, strives to achieve these goals. Moreover, it enhances throughput by implementing multiplexing. Q-MOFI outperforms traditional UDP-based MOFI in terms of throughput gains, minimizing packet loss, and reducing binding operation latency, even when the number of hosts increases. The efficiency of this model has been validated through experimental testing. Full article
(This article belongs to the Special Issue Advances and Challenges in Future Networks)
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20 pages, 10006 KiB  
Article
An Effective YOLO-Based Proactive Blind Spot Warning System for Motorcycles
by Ing-Chau Chang, Chin-En Yen, Ya-Jing Song, Wei-Rong Chen, Xun-Mei Kuo, Ping-Hao Liao, Chunghui Kuo and Yung-Fa Huang
Electronics 2023, 12(15), 3310; https://doi.org/10.3390/electronics12153310 - 02 Aug 2023
Cited by 1 | Viewed by 1267
Abstract
Interest in advanced driver assistance systems (ADAS) is booming in recent years. One of the most effervescent ADAS features is blind spot detection (BSD), which uses radar sensors or cameras to detect vehicles in the blind spot area and alerts the driver to [...] Read more.
Interest in advanced driver assistance systems (ADAS) is booming in recent years. One of the most effervescent ADAS features is blind spot detection (BSD), which uses radar sensors or cameras to detect vehicles in the blind spot area and alerts the driver to avoid a collision when changing lanes. However, this kind of BSD system fails to notify nearby vehicle drivers in this blind spot of the possible collision. The goal of this research is to design a proactive bus blind spot warning (PBSW) system that will immediately notify motorcyclists when they enter the blind spot or the area of the inner wheel difference of a target vehicle, i.e., a bus. This will increase the real-time functionality of BSD and can have a significant impact on enhancing motorcyclist safety. The proposed hardware is placed on the motorcycle and consists of a Raspberry Pi 3B+ and a dual-lens stereo camera. We use dual-lens cameras to capture and create stereoscopic images then transmit the images from the Raspberry Pi 3B+ to an Android phone via Wi-Fi and to a cloud server using a cellular network. At the cloud server, we use the YOLOv4 image recognition model to identify the position of the rear-view mirror of the bus and use the lens imaging principle to estimate the distance between the bus and the motorcyclist. Finally, the cloud server returns the estimated distance to the PBSW app on the Android phone. According to the received distance value, the app will display the visible area/blind spot, the area of the inner wheel difference of the bus, the position of the motorcyclist, and the estimated distance between the motorcycle and the bus. Hence, as soon as the motorcyclist enters the blind spot of the bus or the area of the inner wheel difference, the app will alert the motorcyclist immediately to enhance their real-time safety. We have evaluated this PBSW system implemented in real life. The results show that the average position accuracy of the rear-view mirror is 92.82%, the error rate of the estimated distance between the rear-view mirror and the dual-lens camera is lower than 0.2%, and the average round trip delay between the Android phone and the cloud server is about 0.5 s. To the best of our knowledge, this proposed system is one of few PBSW systems which can be applied in the real world to protect motorcyclists from the danger of entering the blind spot and the area of the inner wheel difference of the target vehicle in real time. Full article
(This article belongs to the Special Issue Advances and Challenges in Future Networks)
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