Special Issue in Smart Spectrum and Radio Resource Management for Future 5G Networks
摘要截稿:
全文截稿: 2020-02-29
影响因子: 3.111
期刊难度:
CCF分类: B类
中科院JCR分区:
• 大类 : 计算机科学 - 3区
• 小类 : 计算机:硬件 - 3区
• 小类 : 计算机:信息系统 - 3区
• 小类 : 工程:电子与电气 - 3区
• 小类 : 电信学 - 3区
Overview
The last few years have witnessed a significant increase in the use of portable computing devices such as smartphones, tablets and laptops for enhanced Mobile Broadband (eMBB) services in addition to the introduction of machine-type devices interconnected through the Internet of Things (IoT) for massive Machine Type Communications (mMTC) as well as novel services that require Ultra-Reliable Low-Latency Communication (URLLC). The emergence of this range of innovative mobile applications and online services pose unprecedented challenges to the fifth generation of mobile networks (5G), which are thus required to introduce new solutions and mechanisms to optimise the use of the finite radio spectrum resources. Some of the key enabling technologies to overcome this challenging scenario include the introduction of a New Radio (NR) interface in millimetre-wave (mmWave) bands, which embraces recent techniques such as massive Multiple-Input Multiple-Output (massive MIMO) and beamforming. While these techniques are foreseen as key solutions to optimize the use of the 5G spectrum and enable the envisaged use-case scenarios, mmWave links are highly vulnerable and unreliable and therefore some advanced solutions are required, possibly including some form of back-up at more reliable sub-6 GHz bands, based on Dynamic Spectrum Access (DSA) methods enabled by the Cognitive Radio (CR) paradigm. Moreover, over the last years, the industrial, academic and regulatory communities have addressed the problem of efficiently exploiting existing and available spectrum radio resources in order to meet the 5G performance requirements and thus facilitate the 5G network concept. In addition to the new requirements of increased network capacity, reliability and latency, future networks are still expected to meet requirements of energy efficiency and heterogeneity of user terminals and Quality of Service/Experience (QoS/QoE) demands.
In this context, a key challenge is to develop novel and smart spectrum and radio resource management paradigms for an efficient spectrum exploitation taking into account the abovementioned aspects. The purpose of this special issue is to gather the latest developments and recent advances in the field of smart spectrum and radio resource management for future 5G networks. Prospective authors are invited to submit original manuscripts that advance the state of the art on topics including, but not limited to:
Smart radio resource allocation mechanisms for spectrum and energy efficiency in 5G networks
Network cooperation techniques for 5G networks
Network architectures and protocols for efficient exploitation of spectrum resources in 5G
Self-configuring and self-organizing DSA/CR-based devices for 5G
Cooperative spectrum sensing algorithms for 5G
AI and machine learning for radio resource management in 5G networks
Game-theory based resource allocation schemes in 5G networks
Interference management and cancelation techniques for 5G
Smart cross-layer access node allocation mechanisms in 5G networks
Energy management in 5G networks
QoS/QoE provisioning methods in 5G networks
Software Defined Network and Network Function Virtualization for efficient exploitation of spectrum resources in 5G
Modelling and simulation for exploitation of spectrum resources in 5G networks
Experimental results and deployment experiences in outdoor community-scale platforms