Research Project to Realize Various High-reliability Communications in Advanced 5G Network

We started a new research project in the “advanced 5G” era that aims at accommodating various types of communications involving current and emerging services with different data flow-level quality requirements. In this paper, the objectives and the technical aspects of the research project are introduced. We propose an architecture based on a virtualized radio access network (vRAN) that enables adaptive control of equipment resources and location of functions in the vRAN environment in accordance with spatially and temporally changing communication demands. The seven planned research items that are essential for realizing the advanced 5G network are listed as follows: blockage prediction, new radio access technologies (RATs) and their implementations with software-defined radio (SDR), adaptive interference and resource control, integration of radio and fiber resource control, highly efficient access transmission control, adaptive placement of BS functions, and quality aware traffic pattern prediction.

[1]  Dirk Wübben,et al.  Cloud technologies for flexible 5G radio access networks , 2014, IEEE Communications Magazine.

[2]  Philippe J. Sartori,et al.  Initial beamforming for mmWave communications , 2014, 2014 48th Asilomar Conference on Signals, Systems and Computers.

[3]  Jeffrey H. Reed.  Software Radio , 2002 .

[4]  Koji Ishibashi,et al.  Grant-Free Non-Orthogonal Multiple Access With Multiple-Antenna Base Station and Its Efficient Receiver Design , 2019, IEEE Access.

[5]  Sumei Sun,et al.  Energy-Efficient, Large-Scale Distributed-Antenna System (L-DAS) for Multiple Users , 2013, IEEE Journal of Selected Topics in Signal Processing.

[6]  Kei Sakaguchi,et al.  Environment Induced Shadowing of Urban Millimeter-Wave Access Links , 2016, IEEE Wireless Communications Letters.

[7]  Frank R Kschischang,et al.  Future Prospects for FEC in Fiber-Optic Communications , 2010, IEEE Journal of Selected Topics in Quantum Electronics.

[8]  Masahiro Morikura,et al.  Proactive Received Power Prediction Using Machine Learning and Depth Images for mmWave Networks , 2018, IEEE Journal on Selected Areas in Communications.

[9]  Weisheng Hu,et al.  Enabling Flexible Link Capacity for eCPRI-Based Fronthaul With Load-Adaptive Quantization Resolution , 2019, IEEE Access.

[10]  Wei Yu,et al.  Sparse Signal Processing for Grant-Free Massive Connectivity: A Future Paradigm for Random Access Protocols in the Internet of Things , 2018, IEEE Signal Processing Magazine.

[11]  Fumiyuki Adachi,et al.  Cooperative Distributed Antenna Transmission for 5G Mobile Communications Network , 2017, IEICE Trans. Commun..

[12]  Oscar E. Agazzi,et al.  Design Tradeoffs and Challenges in Practical Coherent Optical Transceiver Implementations , 2016, Journal of Lightwave Technology.

[13]  Gunnar Mildh,et al.  Impact of network slicing on 5G Radio Access Networks , 2016, 2016 European Conference on Networks and Communications (EuCNC).

[14]  Lei Liu,et al.  Over-the-Air Implementation of Uplink NOMA , 2017, GLOBECOM 2017 - 2017 IEEE Global Communications Conference.

[15]  Masataka Nakazawa,et al.  Real-Time 256 QAM Bi-directional Coherent Transmission in Next Generation Mobile Fronthaul , 2019, 2019 24th OptoElectronics and Communications Conference (OECC) and 2019 International Conference on Photonics in Switching and Computing (PSC).

[16]  Tomoyuki Saito,et al.  Modified Adaptive 2-Step ICIC for Distributed MIMO System with User Clustering , 2019, 2019 IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS).

[17]  IMT Vision – Framework and overall objectives of the future development of IMT for 2020 and beyond M Series Mobile , radiodetermination , amateur and related satellite services , 2015 .

[18]  Lin Dai.  An Uplink Capacity Analysis of the Distributed Antenna System (DAS): From Cellular DAS to DAS with Virtual Cells , 2014, IEEE Transactions on Wireless Communications.

[19]  Kosuke Nishimura,et al.  RAN Slicing in Multi-CU/DU Architecture for 5G Services , 2019, 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall).

[20]  Ashwin Sampath,et al.  Statistical Blockage Modeling and Robustness of Beamforming in Millimeter-Wave Systems , 2018, IEEE Transactions on Microwave Theory and Techniques.

[21]  Koji Ishibashi,et al.  Frame Theory and Fractional Programming for Sparse Recovery-Based mmWave Channel Estimation , 2019, IEEE Access.

[22]  Jeffrey G. Andrews,et al.  Modeling and Analyzing Millimeter Wave Cellular Systems , 2016, IEEE Transactions on Communications.

[23]  Suhas S. Kowshik,et al.  Low Complexity Energy Efficient Random Access Scheme for the Asynchronous Fading MAC , 2019, 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall).