Towards a Fully Virtualized, Cloudified, and Slicing-Aware RAN for 6G Mobile Networks

The fifth generation (5G) system was marketed as a true enabler of latency-aware ultra-reliable low latency communications (uRLLC), bandwidth-devouring enhanced mobile broadband (eMBB), and unlimited-things-centric massive machine type communication (mMTC) services for vertical industries and internet-of-everything (IoE). Among other promises, the eMBB services have gained significant momentum in various 5G deployments, such as using millimeter wave (mmWave) frequency band in the next-generation radio access network (NG-RAN). The early rollouts of the uRLLC and mMTC services show that the 5G system supports their basic features, however, supporting advanced and complicated use-cases of such services remains uncertain. These drawbacks are due to, but not limited to, the existing limitations in the adaptation of current technologies, such as multi-access cloud computing, network function virtualization, software-defined networking (SDN), network slicing, etc. in NG-RAN. In this regard, we aim to (i) provide a comprehensive overview on key concepts towards the RAN of sixth generation (6G) system; (ii) study various legacy RAN implementations, reported in literature, from different perspectives, and the motivation of their reconstruction and redesign with respect to the requirements of their forth-coming generations; (iii) present an exclusive review of the NG-RAN with special emphasize on the cloudification and virtualization of resources and services, and on the management and orchestration of RAN slices; (iv) identity the key drivers that leverage advanced mMTC, uRLLC, and eMBB services and applications; and (v) address key challenges and future research arising from the deployment of NG-RAN.

[1]  Theodore S. Rappaport,et al.  Millimeter-Wave Base Station Diversity for 5G Coordinated Multipoint (CoMP) Applications , 2019, IEEE Transactions on Wireless Communications.

[2]  Anna Tzanakaki,et al.  Joint Fronthaul Optimization and SDN Controller Placement in Dynamic 5G Networks , 2019, ONDM.

[3]  Richard D. Gitlin,et al.  Optimization of 5G Virtual Cell Based Coordinated Multipoint Networks Using Deep Machine Learning , 2018 .

[4]  Hirley Alves,et al.  Six Key Features of Machine Type Communication in 6G , 2020, 2020 2nd 6G Wireless Summit (6G SUMMIT).

[5]  Haitao Xu,et al.  Resource allocation for network security risk assessment: A non-cooperative differential game based approach , 2016 .

[6]  Sergio Barbarossa,et al.  6G: The Next Frontier: From Holographic Messaging to Artificial Intelligence Using Subterahertz and Visible Light Communication , 2019, IEEE Vehicular Technology Magazine.

[7]  Holger Claussen,et al.  Financial Analysis of a Pico-Cellular Home Network Deployment , 2007, 2007 IEEE International Conference on Communications.

[8]  Marko Jurmu,et al.  6G White Paper on Edge Intelligence , 2020, ArXiv.

[9]  Kaibin Huang,et al.  Towards an Intelligent Edge: Wireless Communication Meets Machine Learning , 2018, ArXiv.

[10]  Yonggang Wen,et al.  Cloud radio access network (C-RAN): a primer , 2015, IEEE Network.

[11]  Dong In Kim,et al.  Downlink Power Allocation for CoMP-NOMA in Multi-Cell Networks , 2017, IEEE Transactions on Communications.

[12]  Tao Jiang,et al.  Green Heterogeneous Cloud Radio Access Networks: Potential Techniques, Performance Trade-offs, and Challenges , 2017, IEEE Communications Magazine.

[13]  Xudong Wang,et al.  Joint Beamforming-Power-Bandwidth Allocation in Terahertz NOMA Networks , 2019, 2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON).

[14]  Shaoqian Li,et al.  6G Wireless Communications: Vision and Potential Techniques , 2019, IEEE Network.

[15]  Mohamed-Slim Alouini,et al.  A Key 6G Challenge and Opportunity—Connecting the Base of the Pyramid: A Survey on Rural Connectivity , 2020, Proceedings of the IEEE.

[16]  Gerhard Fettweis,et al.  Coordinated Multi-Point in Mobile Communications: From Theory to Practice , 2011 .

[17]  Ville Haikola,et al.  HSDPA Performance with Dual Stream MIMO in a Combined Macro-Femto Cell Network , 2010, 2010 IEEE 71st Vehicular Technology Conference.

[18]  Sanjiv Nanda,et al.  Femtocells [Industry Perspectives] , 2010 .

[19]  Sampath Rangarajan,et al.  Radio access network virtualization for future mobile carrier networks , 2013, IEEE Communications Magazine.

[20]  Jun Zhao.  A Survey of Intelligent Reflecting Surfaces (IRSs): Towards 6G Wireless Communication Networks with Massive MIMO 2.0 , 2019 .

[21]  Christian Lanzani,et al.  Advanced multimode radio for wireless & mobile broadband communication , 2009, 2009 European Wireless Technology Conference.

[22]  Chong Han,et al.  Propagation Modeling for Wireless Communications in the Terahertz Band , 2018, IEEE Communications Magazine.

[23]  F. Hashim,et al.  Characterizing energy efficiency for heterogeneous cellular networks , 2012, 2012 IEEE Student Conference on Research and Development (SCOReD).

[24]  Naofal Al-Dhahir,et al.  Unsupervised Machine Learning-Based User Clustering in Millimeter-Wave-NOMA Systems , 2018, IEEE Transactions on Wireless Communications.

[25]  Jun Wu,et al.  A Survey on Green 6G Network: Architecture and Technologies , 2019, IEEE Access.

[26]  Marco Gramaglia,et al.  The case for serverless mobile networking , 2020, 2020 IFIP Networking Conference (Networking).

[27]  Hamid Reza Karimi,et al.  Evolution Towards Dynamic Spectrum Sharing in Mobile Communications , 2006, 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications.

[28]  Mohsen Guizani,et al.  Topology Discovery in Software Defined Networks: Threats, Taxonomy, and State-of-the-Art , 2017, IEEE Communications Surveys & Tutorials.

[29]  Jeffrey G. Andrews,et al.  Femtocell networks: a survey , 2008, IEEE Communications Magazine.

[30]  Bin Han,et al.  A Comprehensive Survey of RAN Architectures Toward 5G Mobile Communication System , 2019, IEEE Access.

[31]  Wei Chen,et al.  The Roadmap to 6G: AI Empowered Wireless Networks , 2019, IEEE Communications Magazine.

[32]  Brian L. Evans,et al.  Machine Learning in Downlink Coordinated Multipoint in Heterogeneous Networks , 2016 .

[33]  Yongbin Wei,et al.  A survey on 3GPP heterogeneous networks , 2011, IEEE Wireless Communications.

[34]  Tarik Taleb,et al.  On Using SDN in 5G: The Controller Placement Problem , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).

[35]  Bin Han,et al.  The Structure of Service Level Agreement of Slice-based 5G Network , 2018, ArXiv.

[36]  Mugen Peng,et al.  Fog-computing-based radio access networks: issues and challenges , 2015, IEEE Network.

[37]  Prem Prakash Jayaraman,et al.  Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions , 2018, IEEE Access.

[38]  Roch H. Glitho,et al.  A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges , 2017, IEEE Communications Surveys & Tutorials.

[39]  Lei Shu,et al.  Survey of Fog Computing: Fundamental, Network Applications, and Research Challenges , 2018, IEEE Communications Surveys & Tutorials.

[40]  Ismail Güvenç,et al.  A comparative study of different deployment modes for femtocell networks , 2009, 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications.

[41]  Patrick Seeling,et al.  Why We Should NOT Talk about 6G , 2020, ArXiv.

[42]  Lajos Hanzo,et al.  Nonorthogonal Multiple Access for 5G and Beyond , 2017, Proceedings of the IEEE.

[43]  Ahmet M. Elbir,et al.  CNN-Based Precoder and Combiner Design in mmWave MIMO Systems , 2019, IEEE Communications Letters.

[44]  Mehdi Bennis,et al.  Design and Deployment of Small Cell Networks , 2015 .

[45]  Wolfgang Kellerer,et al.  Special Issue on Artificial Intelligence and Machine Learning for Networking and Communications , 2019, IEEE J. Sel. Areas Commun..

[46]  Dong In Kim,et al.  Coordinated Multi-Point (CoMP) Transmission in Downlink Multi-cell NOMA Systems: Models and Spectral Efficiency Performance , 2017, ArXiv.

[47]  Biswanath Mukherjee,et al.  Virtualized Cloud Radio Access Network for 5G Transport , 2017, IEEE Communications Magazine.

[48]  Xiang-Gen Xia,et al.  Millimeter-Wave Communications With Non-Orthogonal Multiple Access for B5G/6G , 2019, IEEE Access.

[49]  Fan Bin,et al.  Research on services modeling in LTE networks , 2016 .

[50]  Pingzhi Fan,et al.  6G Wireless Networks: Vision, Requirements, Architecture, and Key Technologies , 2019, IEEE Vehicular Technology Magazine.

[51]  B. Shihada,et al.  What should 6G be? , 2019, Nature Electronics.

[52]  Nei Kato,et al.  Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches , 2020, Proceedings of the IEEE.

[53]  Albert Y. Zomaya,et al.  Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence , 2019, IEEE Internet of Things Journal.

[54]  Rui Zhang,et al.  Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network , 2019, IEEE Communications Magazine.

[55]  Timothy A. Thomas,et al.  LTE-advanced: next-generation wireless broadband technology [Invited Paper] , 2010, IEEE Wireless Communications.

[56]  George K. Karagiannidis,et al.  Non-Orthogonal Multiple Access for Visible Light Communications , 2015, IEEE Photonics Technology Letters.

[57]  Hans D. Schotten,et al.  Machine Learning for Network Slicing Resource Management: A Comprehensive Survey , 2020, ArXiv.

[58]  Ian F. Akyildiz,et al.  A New Wireless Communication Paradigm through Software-Controlled Metasurfaces , 2018, IEEE Communications Magazine.

[59]  Mohamed-Slim Alouini,et al.  Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How it Works, State of Research, and Road Ahead , 2020, ArXiv.

[60]  Xuemin Shen,et al.  Self-Sustaining Caching Stations: Toward Cost-Effective 5G-Enabled Vehicular Networks , 2017, IEEE Communications Magazine.

[61]  Qing Wang,et al.  Wireless network cloud: Architecture and system requirements , 2010, IBM J. Res. Dev..

[62]  Akhilesh Pokhariyal,et al.  Interference management and performance analysis of UMTS/HSPA+ femtocells , 2009, IEEE Communications Magazine.

[63]  Marcos Katz,et al.  Opportunities and Challenges for Visible Light Communications in 6G , 2020, 2020 2nd 6G Wireless Summit (6G SUMMIT).

[64]  Lajos Hanzo,et al.  Airplane-Aided Integrated Networking for 6G Wireless: Will It Work? , 2019, IEEE Vehicular Technology Magazine.

[65]  Cheng-Xiang Wang,et al.  5G Ultra-Dense Cellular Networks , 2015, IEEE Wireless Communications.

[66]  Igor Radusinovic,et al.  Toward a Scalable, Robust, and QoS-Aware Virtual-Link Provisioning in SDN-Based ISP Networks , 2019, IEEE Transactions on Network and Service Management.