How Should I Orchestrate Resources of My Slices for Bursty URLLC Service Provision?

Future wireless networks are convinced to provide flexible and cost-efficient services via exploiting network slicing techniques. However, it is challenging to configure network slicing systems for bursty ultra-reliable and low latency communications (URLLC) service provision due to its stringent requirements on low packet blocking probability and low codeword error decoding probability. In this paper, we propose to orchestrate network resources for a network slicing system to guarantee a more reliable bursty URLLC service provision. We re-cut physical resource blocks (PRBs) and derive the minimum upper bound of bandwidth for URLLC transmission with a low packet blocking probability. We correlate coordinated multipoint (CoMP) beamforming with channel uses and derive the minimum upper bound of channel uses for URLLC transmission with a low codeword error decoding probability. Considering the agreement on converging diverse services onto shared infrastructures, we further investigate the network slicing for URLLC and enhanced mobile broadband (eMBB) service multiplexing. Particularly, we formulate the service multiplexing as an optimization problem to maximize the long-term total slice utility. The mitigation of this problem is challenging due to the requirements of future channel information and tackling a two timescale issue. To address the challenges, we develop a joint resource optimization algorithm based on a sample average approximate (SAA) technique and a distributed optimization method with provable performance guarantees.

[1]  Gustavo de Veciana,et al.  Network Slicing for Guaranteed Rate Services: Admission Control and Resource Allocation Games , 2018, IEEE Transactions on Wireless Communications.

[2]  Mehdi Bennis,et al.  eMBB-URLLC Resource Slicing: A Risk-Sensitive Approach , 2019, IEEE Communications Letters.

[3]  Mahesh K. Marina,et al.  Orion: RAN Slicing for a Flexible and Cost-Effective Multi-Service Mobile Network Architecture , 2017, MobiCom.

[4]  Jordi Pérez-Romero,et al.  An Efficient RAN Slicing Strategy for a Heterogeneous Network With eMBB and V2X Services , 2019, IEEE Access.

[5]  Tommaso Melodia,et al.  Low-Complexity Distributed Radio Access Network Slicing: Algorithms and Experimental Results , 2018, IEEE/ACM Transactions on Networking.

[6]  Bin Han,et al.  Network Slicing to Enable Scalability and Flexibility in 5G Mobile Networks , 2017, IEEE Communications Magazine.

[7]  Tony Q. S. Quek,et al.  Multicast eMBB and Bursty URLLC Service Multiplexing in a CoMP-Enabled RAN , 2020, IEEE Transactions on Wireless Communications.

[8]  Ulas C. Kozat,et al.  A Resource Allocation Framework for Network Slicing , 2018, IEEE INFOCOM 2018 - IEEE Conference on Computer Communications.

[9]  Koteswararao Kondepu,et al.  Provisioning and automated scaling of network slices for virtual Content Delivery Networks in 5G infrastructures , 2019, MobiHoc.

[10]  Xu Li,et al.  An End-to-End Demonstration for 5G Network Slicing , 2019, 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring).

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

[12]  Gustavo de Veciana,et al.  Resource Allocation and HARQ Optimization for URLLC Traffic in 5G Wireless Networks , 2018, IEEE Journal on Selected Areas in Communications.

[13]  James Gross,et al.  Delay Analysis for Wireless Fading Channels with Finite Blocklength Channel Coding , 2015, MSWiM.

[14]  Seung Hyun Cha,et al.  Coordinated-beam selection scheme using mobility pattern of mobile device in 5G mobile communication systems , 2017, IMCOM.

[15]  Mahesh K. Marina,et al.  Network Slicing in 5G: Survey and Challenges , 2017, IEEE Communications Magazine.

[16]  Bo Cheng,et al.  A Lightweight Network Slicing Orchestration Architecture (poster) , 2019, MobiSys.

[17]  Sameer Sharma,et al.  RAN Resource Usage Prediction for a 5G Slice Broker , 2019, MobiHoc.

[18]  Qiang Liu,et al.  DIRECT: Distributed Cross-Domain Resource Orchestration in Cellular Edge Computing , 2019, MobiHoc.

[19]  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 .

[20]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[21]  Gustavo de Veciana,et al.  Network slicing games: Enabling customization in multi-tenant networks , 2016, IEEE INFOCOM 2017 - IEEE Conference on Computer Communications.

[22]  Meng Wang,et al.  A SDN/NFV-Based IoT Network Slicing Creation System , 2018, MobiCom.

[23]  H. Vincent Poor,et al.  Channel Coding Rate in the Finite Blocklength Regime , 2010, IEEE Transactions on Information Theory.

[24]  Thrasyvoulos Spyropoulos,et al.  Radio access network resource slicing for flexible service execution , 2018, IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[25]  Gustavo de Veciana,et al.  Statistical Multiplexing and Traffic Shaping Games for Network Slicing , 2018, IEEE/ACM Transactions on Networking.

[26]  Stavros Kotsopoulos,et al.  Coordination Multipoint Enabled Small Cells for Coalition-Game-Based Radio Resource Management , 2019, IEEE Network.

[27]  Miguel García-Pineda,et al.  Stochastic Collaborative Beamforming in Wireless Sensor Networks , 2018, EATIS.

[28]  Florence March,et al.  2016 , 2016, Affair of the Heart.

[29]  R. Pasupathy,et al.  A Guide to Sample Average Approximation , 2015 .

[30]  Zhi-Quan Luo,et al.  Semidefinite Relaxation of Quadratic Optimization Problems , 2010, IEEE Signal Processing Magazine.

[31]  Toktam Mahmoodi,et al.  Network slicing management & prioritization in 5G mobile systems , 2016 .

[32]  Xin Liu,et al.  Energy-Efficient Training-Assisted Transmission Strategies for Closed-Loop MISO Systems , 2015, IEEE Transactions on Vehicular Technology.

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

[34]  Navid Nikaein,et al.  Towards enforcing Network Slicing on RAN: Flexibility and Resources abstraction , 2017 .

[35]  Matthew Andrews,et al.  Satisfying Network Slicing Constraints via 5G MAC Scheduling , 2019, IEEE INFOCOM 2019 - IEEE Conference on Computer Communications.

[36]  Mor Harchol-Balter,et al.  Performance Modeling and Design of Computer Systems: Contents , 2013 .

[37]  Antonios Michaloliakos,et al.  Joint user-beam selection for hybrid beamforming in asynchronously coordinated multi-cell networks , 2016, 2016 Information Theory and Applications Workshop (ITA).

[38]  Victor C. M. Leung,et al.  Latency Driven Fronthaul Bandwidth Allocation and Cooperative Beamforming for Cache-enabled Cloud-based Small Cell Networks , 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[39]  Marco Gramaglia,et al.  Optimising 5G infrastructure markets: The business of network slicing , 2017, IEEE INFOCOM 2017 - IEEE Conference on Computer Communications.

[40]  Marco Gramaglia,et al.  Mobile traffic forecasting for maximizing 5G network slicing resource utilization , 2017, IEEE INFOCOM 2017 - IEEE Conference on Computer Communications.

[41]  Tulja Vamshi Kiran Buyakar,et al.  Scalable Network Slicing Architecture for 5G , 2018, MobiCom.

[42]  Matti Latva-aho,et al.  Key drivers and research challenges for 6G ubiquitous wireless intelligence , 2019 .

[43]  Wotao Yin,et al.  Global Convergence of ADMM in Nonconvex Nonsmooth Optimization , 2015, Journal of Scientific Computing.

[44]  Andrea Matera,et al.  Non-Orthogonal eMBB-URLLC Radio Access for Cloud Radio Access Networks with Analog Fronthauling , 2018, Entropy.

[45]  Seung Jun Baek,et al.  Statistical Multiplexing and Traffic Shaping Games for Network Slicing , 2018, IEEE/ACM Transactions on Networking.

[46]  Michail Matthaiou,et al.  Machine Learning-Based Channel Prediction in Massive MIMO With Channel Aging , 2020, IEEE Transactions on Wireless Communications.

[47]  Cicek Cavdar,et al.  Risk-Aware Resource Allocation for URLLC: Challenges and Strategies with Machine Learning , 2018, IEEE Communications Magazine.

[48]  Antonios Michaloliakos,et al.  Asynchronously Coordinated Multi-Timescale Beamforming Architecture for Multi-Cell Networks , 2018, IEEE/ACM Transactions on Networking.

[49]  Marco Fiore,et al.  How Should I Slice My Network?: A Multi-Service Empirical Evaluation of Resource Sharing Efficiency , 2018, MobiCom.

[50]  Stephen P. Boyd,et al.  Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..

[51]  Yinyu Ye,et al.  Interior point algorithms: theory and analysis , 1997 .

[52]  Xavier Costa-Perez,et al.  RL-NSB: Reinforcement Learning-Based 5G Network Slice Broker , 2019, IEEE/ACM Transactions on Networking.

[53]  Tony Q. S. Quek,et al.  Service Multiplexing and Revenue Maximization in Sliced C-RAN Incorporated With URLLC and Multicast eMBB , 2019, IEEE Journal on Selected Areas in Communications.