Artificial Intelligence-Empowered Resource Management for Future Wireless Communications: A Survey

How to explore and exploit the full potential of artificial intelligence(AI)technologies in future wireless communications such as beyond 5G(B5G)and 6G is an extremely hot inter-disciplinary research topic around the world.On the one hand,AI empowers intelligent resource management for wireless communications through powerful learning and automatic adaptation capabilities.On the other hand,embracing AI in wireless communication resource management calls for new network architecture and system models as well as standardized interfaces/protocols/data formats to facilitate the large-scale deployment of AI in future B5G/6G networks.This paper reviews the state-of-art AI-empowered resource management from the framework perspective down to the methodology perspective,not only considering the radio resource(e.g.,spectrum)management but also other types of resources such as computing and caching.We also discuss the challenges and opportunities for AI-based resource management to widely deploy AI in future wireless communication networks.     

Golden Coded GFDM for 5G Communication

Wireless Personal Communications - The 5th Generation (5G) of wireless communication will be heterogeneous to support various traffic types and applications. Generalized Frequency Division...     

Performance Enhancement of 5G OFDM Systems Using Modified Raised Cosine Power Pulse

Wireless Personal Communications - OFDM is a key modulation technology of current wireless communication systems such as 4G LTE/LTE-A. The fifth generation (5G) of wireless cellular networks is...     

6G Networks for Next Generation of Digital TV Beyond 2030

Wireless Personal Communications - This paper prosed a novel 6G QoS over the future 6G wireless architecture to offer excellent Quality of Service (QoS) for the next generation of digital TV beyond...     

基于可重构智能表面的6G通信技术

可重构智能表面技术是面向下一代6G无线通信网络的关键技术之一。通过在天线阵列上集成大量无源反射超材料的天线元件,可重构智能表面能动态调整入射信号相位,重构信号的传播环境,实现人工可控的无线电磁环境。然而,可重构智能表面的引入也使无线通信系统的设计变得复杂,传统技术面临诸多新挑战。针对可重构智能表面的特性与6G新应用场景,需要创新设计新的传输技术,充分发挥可重构智能表面的优势。本文基于可重构智能表面6G通信技术,首先对其基本技术原理与常见应用场景展开介绍。接着,从信道建模与信道估计、混合波束赋形,以及与基于人工智能的融合设计三个方面阐述技术的研究现状,探讨了当前面临的技术瓶颈。最后,对该技术的未来发展进行了展望。     

上下文感知的6G无线网络

ICDT深度融合是移动通信演进的重要技术趋势之一,如何实现无线网络和AI技术的深度融合是无线网络中演进的重要课题。基于内生AI（native AI）概念,研究在无线网络中使用AI工具进行无线资源优化。提出了一种上下文感知的6G无线网络架构,并在RRM中引入内生AI工具,形成智能控制器智能化无线资源管理（AI-driven RRM）,完成智能无线资源管理的控制器,在大数据和人工智能的驱动下,实现对无线资源的智能化管理。该部署方案把智能控制器按照功能进行部署,并支持动态的功能伸缩,让其部署独立于基站接入点之外以实现基站硬件成本最小化。     

Analytic Hierarchy Processes for Spectrum Sharing in 5G New Radio Standard

Wireless Personal Communications - The 5th Generation (5G) systems have the objective of delivering fiber like performance in a wireless environment. It is expected to connect all devices including...     

Multipolarized Antennas Channel Model of URA Based on SW Massive MIMO Systems in UpLink Transmission

Wireless Personal Communications - Multipolarized Uniform Rectangular Array (mURA) Massive Multiple Input Multiple Output systems (mMIMOs) is a promising technology in 5G wireless communications....     

Inter Radio Access Technology [IRAT] Handover Algorithms for Heterogeneous Wireless Networks

Wireless Personal Communications - Inter-system handover is important for 4G/5G networks as these heterogeneous wireless networks (HWNs) have integrated different radio access technologies with...     

Multi-RAT Aggregation Through Spectrum Reallocation for Future Wireless Networks

Wireless Personal Communications - Next generation wireless networks are becoming the main focus of the industry by putting efforts to launch beyond 4G (i.e. 5G) communication systems by 2020....     

ZF and MMSE Detectors Performances of a Massive MIMO System Combined with OFDM and M-QAM Modulation

Wireless Personal Communications - This paper presents a least squares channel estimation (LSCE) in the UpLink transmission for a Massive MIMO systems in 5G wireless communications, combined with...     

Full Duplex DD for In-Band D2D Communication

Wireless Personal Communications - Device to device (D2D) communication is a candidate technology to ascertain the 5G wireless system. To implement the D2D communication in an in-band cellular...     

Quality-focused resource allocation for resilient 5G network

Photonic Network Communications - The upcoming 5G cellular wireless network brings new challenges and problematic issues in providing services with different quality of service (QoS) requirements...     

E-Shaped Patch Antennas for Multitasks/Uninterrupted 5G Communications

Wireless Personal Communications - The future communication system is a fifth generation (5G) wireless communication. This communication system requires an antenna with a simple design, low traffic...     

On Physical Layer Security of Double Shadowed Rician Fading Channels

Wireless Personal Communications - With the proliferation of fifth-generation (5G) mobile communication wireless networks, the investigation into the performance of physical layer secrecy is...     

A Survey on Advanced Multiple Access Techniques for 5G and Beyond Wireless Communications

Wireless Personal Communications - This paper summarizes the ongoing research initiatives based on the advanced multiple access techniques towards the fifth generation (5G) wireless communication...     

Carrier Frequency Offset (CFO) Synchronization and Peak Average Power Ratio (PAPR) Minimization for Energy Efficient Cognitive Radio Network (CRN) for 5G Wireless Communication

Wireless Personal Communications - In the recent past, the Cognitive Radio Network (CRN) plays significant role in mobile technology for energy efficient wireless 5G communication. The Non...     

Energy-Aware Interoperability of Manet and 4g Ran Routing

The requirements for telecommunication at 2012 are estimated to be on such demanding level that the 3G technologies will not be sufficient. It is unlikely that the 3G Radio Access Network (RAN) would scale up i.e., Fourth Generation (4G) RAN will need to be developed. The requirements for 4G are demanding and the level of uncertainty is high. The novel ad hoc networking technologies could provide flexible solutions for the 4G RAN and extend the operator radio coverage. Combining these differing communication technologies provides insight for the 4G RAN design. This paper analyses the Mobile Ad hoc Networks (MANET) requirements against the 4G requirements in terms of energy conservation. We find that there is mismatch between these two sets of requirements. Nevertheless, we demonstrate how these two approaches could co-exist in a mutually beneficial way. Finally, we propose interoperability requirements for MANET and 4G routing from the perspective of energy conservation. Harri Paloheimo is a researcher in Networking Technologies Laboratory at Nokia Research Center, Helsinki. In addition, he is a post graduate student in Telecommunications Software and Multimedia Laboratory, Department of Computer Science and Engineering, Helsinki University of Technology. He received M.Sc. degree majoring in space technology from Department of Electrical and Communications Engineering, Helsinki University of Technology in 2000. He currently works on next generation wireless networks with special interest in hybrid and relay networking solutions. Sudhir Dixit is currently a Nokia Research Fellow and works on next generation wireless networks. From 1996 to 2003 he was a Senior Research Manager, focusing on IP/ATM, wireless, content networks, and optical networks. Prior to that he worked at NYNEX Science & Technology (now Verizon), GTE (now Verizon), Codex Motorola, Wang, Harris, and STL (now Nortel Europe Labs). He has published or presented over 150 papers, published three books, and holds 14 patents. He is on the Editorial Board of the IEEE Communications Magazine, Springer's Wireless Personal Communications Journal, and KIC's Journal of Communications and Networks. He received a B.E. degree from MANIT, Bhopal, India, an M.E. degree from BITS, Pilani, India, a Ph.D. degree from the University of Strathclyde, Glasgow, Scotland, and an M.B.A. degree from Florida Institute of Technology, Melbourne. He is a Fellow of IEE (UK) and IETE (India). He represents Nokia on the Steering Board of the Wireless World Research Forum, and is also Vice Chair of the SIG on Self-Organization of Wireless World Systems. Dr.Tech. Antti Ylä-Jääski is a Professor of Telecommunications Software, Telecommunications Software and Multimedia Laboratory, Department of Computer Science and Engineering, Helsinki University of Technology. He is also a Research Fellow in Network Technologies Laboratory, Nokia Research Center, Helsinki. Prof Dr.Tech. Antti Ylä-Jääski received his PhD in ETH Zuerich 1993. Antti has worked with Nokia 1994–2004 in several research management positions with focus on future Internet technologies, mobile networks, applications, services, service management and service architectures. He has published about 30 articles and he holds several approved patents. Antti's current research interests include mobile networking, heterogeneous network environments, services, service architectures, service management and security issues.     

Intelligent Decision Making Framework for 6G Network

Sixth Generation(6G) wireless communication network has been expected to provide global coverage, enhanced spectral efficiency, and AI(Artificial Intelligence)-native intelligence, etc. To meet these requirements, the computational concept of Decision-Making of cognition intelligence, its implementation framework adapting to foreseen innovations on networks and services, and its empirical evaluations are key techniques to guarantee the generationagnostic intelligence evolution of wireless commun...     

Leveraging AI-enabled 6G-driven IoT for sustainable smart cities

Many scholastic researches have begun around the globe about the competitive technological interventions like 5G communication networks and its challenges. The incipient technology of 6G networks has emerged to facilitate ultrareliable and low-latency applications for sustainable smart cities which are infeasible with the existing 4G/5G standards. Therefore, the advanced technologies like machine learning (ML), block chain, and Internet of Things (IoT) utilizing 6G network are leveraged to develop cost-efficient mechanisms to address the issues of excess communication overhead in the present state of the art. Initially, the authors discussed the key vision of 6G communication technologies, its core technologies (such as visible light communication [VLC] and THz), and the existing issues with the existing network generations (such as 5G and 4G). A detailed analysis of benefits, challenges, and applications of blockchain-enabled IoT devices with application verticals like Smart city, smart factory plus, automation, and XR that form the key highlights for 6G wireless communication network is also presented. In addition, the key applications and latest research of artificial intelligence (AI) in 6G are discussed facilitating the dynamic spectrum allocation mechanism and mobile edge computing. Lastly, an in-depth study of the existing open issues and challenges in green 6G communication network technology, as well as review of solutions and potential research recommendations are also presented.