New Challenges in 5G Networks Design
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".
Deadline for manuscript submissions: closed (15 July 2023) | Viewed by 15784
Special Issue Editors
Interests: cooperative communications; deep learning; URLLC; cognitive communications; physical layer security
Interests: radio signal processing in 5G networks; signal identification; waveform and modulation recognition; channel estimation in wireless communications; machine learning and deep learning for visual applications and communications
Special Issues, Collections and Topics in MDPI journals
Interests: wireless communication; mobile/wireless information-centric networking; edge cloud computing; vehicular fog computing; microservice-centric networking; beyond 5G communication
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, the increasing evolution of the Internet-of-Things (IoTs) has led to an upsurge in diversified applications with heterogeneous services, especially those supported by artificial intelligence (AI). The new networking paradigms and system architectures will revolutionize current 5G networks and evolve from “connected things” to “connected intelligence”, supporting ubiquitous AI services that provide sustainability and competitiveness. This transformation of network architectures and quality-of-service (QoS) requirements provides new challenges to achieving high data rates, security, sustainability, and latency in the design of 5G networks. This Special Issue will present new challenges with respect to the theoretical foundations and practical implementation of 5G communication networks and their evolution. Prospective authors are cordially invited to submit their original manuscripts on topics including, but not limited to:
- Challenges in cross-layer design with high data rates and massive, secure, or high mobility URLLC for 5G networks;
- Challenges in designing the next generation of access technologies;
- Performance analysis and evaluation of 5G networks;
- Challenges in new network architectures for URLLC services;
- Performance optimization for topological enhancements (e.g., relays, repeaters, UAVs, massive MIMO);
- Low-complexity phase shift design for reconfigurable intelligent surfaces (RIS) in 5G networks;
- Challenges in integrated sensing and communication for 5G networks;
- Challenges in real-world deployments, experiments, prototypes, and testbeds for 5G;
- AI/ML for 5G networks;
- Challenges in mobile edge computing for intelligent and fast responses of 5G;
- Challenge in vehicular fog computing for efficient communication in 5G-based autonomous vehicles;
- Challenges in dynamic resource allocation in edge-based 5G networks;
- Challenges in intelligent resource orchestration for 5G networks;
- Challenges in information centric distributed edge learning for 5G networks;
- Challenges in microservice-centric communication protocols for 5G networks.
Dr. Toan-Van Nguyen
Dr. Thien Huynh-The
Dr. Muhammad Atif Ur Rehman
Guest Editors
Manuscript Submission Information
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Keywords
- IoT networks
- 5G wireless networks
- information-centric networking
- microservice-centric communication
- vehicular fog computing
- distributed edge learning
- intellegent resouce orchestration
- microservices migrations
- security
- privacy
- resource allocation
- cross-layer design
- multi-access edge computing
- massive MIMO
- cooperative communication
- beamforming
- deep learning
- intelligent reflecting surfaces (IRS) and unmanned aerial vehicles (UAV)
- non-orthogonal multiple access (NOMA)
- ultra-reliable low-latency communications (URLLC)
- modulation/waveform recognition
- interference management
- wireless information and power transfer
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