Wireless Communications and Mobile Computing

Service-Oriented Resource Allocation and Management for 5G/B5G Radio Access Networks


Publishing date
01 Jul 2021
Status
Closed
Submission deadline
05 Mar 2021

1Universidad Carlos III de Madrid, Madrid, Spain

2Universitat de les Illes Balears, Palma, Spain

3University Miguel Hernández, Elche, Spain

4University Mediterranea of Reggio Calabria, Reggio Calabria, Italy

This issue is now closed for submissions.
More articles will be published in the near future.

Service-Oriented Resource Allocation and Management for 5G/B5G Radio Access Networks

This issue is now closed for submissions.
More articles will be published in the near future.

Description

The last decade has witnessed an unprecedented increase in mobile data communications, a trend bound to continue in the coming years, with wireless network traffic rising from 12 Exabytes/month recorded in 2017 to a forecasted 77 Exabytes/month in 2022. This growth is largely due to the emergence of new services in key vertical industries (e.g., automotive/transportation, Industry 4.0, and eHealth) derived from the mass adoption of Internet of Things (IoT), or data-hungry applications such as reality augmentation. Recently, 3GPP has defined three 5G service categories, namely machine-type communications (MTC), ultra-reliable low-latency communications (URLLC), and enhanced mobile broadband (eMBB) that cover most of the current applications. However, the path towards beyond 5G (B5G) and 6G networks will be paved with the emergence of new services and applications such as extended reality (XR) and holographic communications that will necessarily imply more stringent requirements in terms of coverage, rate, latency, reliability and ubiquitous availability.

To overcome this challenge, new schemes and methods for the management of resources across the network, including radio spectrum allocation, user scheduling, and computational capacity, can significantly boost the performance offered by current 5G enabling technologies such as massive MIMO, millimeter waves, network slicing, or densification. This is particularly true when the wireless infrastructure has to simultaneously support a wide range of services, with potentially very different communication requirements.

This Special Issue aims to identify and discuss the technical challenges and recent advances in service-oriented resource allocation and management over 5G and B5G networks. We invite researchers to submit their original research and review articles focusing on physical layer aspects, such as spectrum allocation and signal processing algorithms, as well as solutions at higher layers and network/computational topologies.

Potential topics include but are not limited to the following:

  • Radio resource management in advanced network topologies (e.g., HetNets, C-RAN, F-RAN, Cell-free, ultradense networks)
  • Joint radio-computational resource allocation in fog-radio and mobile edge computing
  • Novel opportunistic spectrum use, spectrum sharing, and spectrum management techniques for differentiated services in D2D licensed/unlicensed networks
  • Massive MIMO clustering and pilot allocation
  • Artificial intelligence for radio resource allocation
  • Energy-efficient resource allocation
  • Radio and network slicing and allocation of virtualized resources
  • Signal processing algorithms
  • Radio resource allocation and scheduling URLLC and massive MTC
  • New approaches to 5G multi-service network deployment
  • Business models to exploit multi-service 5G networks
  • Computational aspects of resource allocation in 5G networks
  • Resource allocation and management for V2X networks

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 5530612
  • - Research Article

A Novel Subchannel and Power Allocation Algorithm in V2V Communication

Ning Du | Changqing Zhou | Xiyuan Ma
  • Special Issue
  • - Volume 2021
  • - Article ID 5515271
  • - Research Article

A Centralized Win-Win Cooperative Framework for Wi-Fi and 5G Radio Access Networks

A. Raschellà | O. Aldhaibani | ... | M. C. Lucas-Estañ
  • Special Issue
  • - Volume 2021
  • - Article ID 9914456
  • - Research Article

Deployment of Clustered-Based Small Cells in Interference-Limited Dense Scenarios: Analysis, Design, and Trade-Offs

David Alejandro Urquiza Villalonga | Felip Riera-Palou | ... | Guillem Femenias
  • Special Issue
  • - Volume 2021
  • - Article ID 6678792
  • - Research Article

Energy-Spectral Efficiency Trade-Offs in Full-Duplex MU-MIMO Cloud-RANs with SWIPT

Xuan-Xinh Nguyen | Ha Hoang Kha
  • Special Issue
  • - Volume 2021
  • - Article ID 8879690
  • - Research Article

Performance Analysis of Backhaul-Aware User Association in 5G Ultradense Heterogeneous Networks

Junpeng Yu | Hongtao Zhang | ... | Yaduan Ruan
  • Special Issue
  • - Volume 2021
  • - Article ID 8897814
  • - Research Article

Joint Congestion Control and Resource Allocation for Delay-Aware Tasks in Mobile Edge Computing

Shichao Li | Qiuyun Wang | ... | Wenjie Li
Wireless Communications and Mobile Computing
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