Abstract
Radio resource management is categorized among the biggest challenges for the 5G networks due to the proliferation of heterogeneous devices. Moreover, the introduction of 5G verticals and the need to fulfill heterogeneous stringent requirements based on novel applications further complicates the radio resource management process. Network slicing can be considered as a promising scheme to meet these heterogeneous requirements produced by various 5G verticals. In network slicing, the physical resources (radio access network resources, i.e., subcarrier power, spectrum, infrastructure, etc.) are sliced into multiple logical networks based on the application requirements. In this chapter, first, we discuss about the radio access network resources. Then, we briefly elaborate on network slicing and its challenges for achieving efficient resource management. Moreover, we aim to expose the readers to the resource management approaches that can support us to build efficient network slices for 5G verticals. Finally, we provide a use case for vertical industries pertaining to the resource management in virtual reality.
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References
Hong, C. S., Kazmi, S. A., Moon, S., & Van Mui, N. (2016). SDN based wireless heterogeneous network management. In AETA 2015: Recent Advances in Electrical Engineering and Related Sciences (pp. 3–12). Cham: Springer.
Raza, H. (2011, June). A brief survey of radio access network backhaul evolution: Part I. IEEE Communications Magazine, 49(6), 164–171.
Oo, T. Z., Tran, N. H., LeAnh, T., Kazmi, S. M. A., Ho, T. M., & Hong, C. S. (2015, August). Traffic offloading under outage QoS constraint in heterogeneous cellular networks. In 2015 17th Asia-Pacific Network Operations and Management Symposium (APNOMS) (pp. 436–439).
Kazmi, S. A., Tran, N. H., Ho, T. M., Oo, T. Z., LeAnh, T., Moon, S., et al. (2015). Resource management in dense heterogeneous networks. In 2015 17th Asia-Pacific Network Operations and Management Symposium (APNOMS) (pp. 440–443). New York: IEEE.
Ho, T. M., Tran, N. H., Kazmi, S. M. A., Moon, S. I., & Hong, C. S. (2016). Distributed pricing power control for downlink co-tier interference coordination in two-tier heterogeneous networks. In Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication, IMCOM ’16. New York: ACM, pp. 87:1–87:7. Available: http://doi.acm.org/10.1145/2857546.2857635
Ho, T. M., Tran, N. H., Le, L. B., Kazmi, S. M. A., Moon, S. I., & Hong, C. S. (2015, May). Network economics approach to data offloading and resource partitioning in two-tier LTE HetNets. In 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM) (pp. 914–917).
Ho, T. M., Tran, N. H., Do, C. T., Kazmi, S. M. A., LeAnh, T., & Hong, C. S. (2015, August). Data offloading in heterogeneous cellular networks: Stackelberg game based approach. In 2015 17th Asia-Pacific Network Operations and Management Symposium (APNOMS) (pp. 168–173).
Ho, T. M., Tran, N. H., Ahsan Kazmi, S. M., & Hong, C. S. (2016). Distributed resource allocation for interference management and QoS guarantee in underlay cognitive femtocell networks. In 2016 18th Asia-Pacific Network Operations and Management Symposium (APNOMS) (pp. 1–4). IEEE.
Cisco Visual Networking Index. (2016). Global Mobile Data Traffic Forecast Update, 2015–2020 White Paper. Document ID, vol. 958959758.
Satyanarayanan, M., Bahl, P., Caceres, R., & Davies, N. (2009, October). The case for VM-based cloudlets in mobile computing. IEEE Pervasive Computing, 8(4), 14–23.
Fog Computing and the Internet of Things: Extend the Cloud to Where the Things Are. (2015). Cisco White Paper.
Beck, M. T., Werner, M., Feld, S., & Schimper, S. (2014). Mobile edge computing: A taxonomy. In Proceedings of the Sixth International Conference on Advances in Future Internet (pp. 48–55). Citeseer.
Kazmi, S. A., Tran, N. H., Ho, T. M., & Hong, C. S. (2018). Hierarchical matching game for service selection and resource purchasing in wireless network virtualization. IEEE Communications Letters, 22(1), 121–124.
Kazmi, S. A., & Hong, C. S. (2017). A matching game approach for resource allocation in wireless network virtualization. In Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication (p. 113). New York: ACM.
Kim, D. H., Kazmi, S., & Hong, C. S. (2018). Cooperative slice allocation for virtualized wireless network: A matching game approach. In Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication (p. 94). New York: ACM.
Sciancalepore, V., Zanzi, L., Costa-Perez, X., & Capone, A. (2018). Onets: Online network slice broker from theory to practice. Preprint. arXiv:1801.03484.
Richart, M., Baliosian, J., Serrat, J., & Gorricho, J.-L. (2016). Resource slicing in virtual wireless networks: A survey. IEEE Transactions on Network and Service Management, 13(3), 462–476.
Foukas, X., Patounas, G., Elmokashfi, A., & Marina, M. K. (2017). Network slicing in 5G: Survey and challenges. IEEE Communications Magazine, 55(5), 94–100.
Zhang, H., Liu, N., Chu, X., Long, K., Aghvami, A.-H., & Leung, V. C. (2017). Network slicing based 5G and future mobile networks: Mobility, resource management, and challenges. IEEE Communications Magazine, 55(8), 138–145.
Ordonez-Lucena, J., Ameigeiras, P., Lopez, D., Ramos-Munoz, J. J., Lorca, J., & Folgueira, J. (2017). Network slicing for 5G with SDN/NFV: Concepts, architectures and challenges. Preprint. arXiv:1703.04676.
Ho, T. M., Tran, N. H., Kazmi, S. A., Han, Z., & Hong, C. S. (2018). Wireless network virtualization with non-orthogonal multiple access. In NOMS 2018-2018 IEEE/IFIP Network Operations and Management Symposium (pp. 1–9). Piscataway: IEEE.
Ho, T. M., Tran, N. H., Kazmi, S. M. A., & Hong, C. S. (2017, January). Dynamic pricing for resource allocation in wireless network virtualization: A Stackelberg game approach. In 2017 International Conference on Information Networking (ICOIN) (pp. 429–434).
Ndikumana, A., Ullah, S., Thar, K., Tran, N. H., Park, B. J., & Hong, C. S. (2017). Novel cooperative and fully-distributed congestion control mechanism for content centric networking. IEEE Access, 5, 27691–27706.
Ndikumana, A., Ullah, S., Kamal, R., Thar, K., Kang, H. S., Moon, S. I., et al. (2015, August). Network-assisted congestion control for information centric networking. In 2015 17th Asia-Pacific Network Operations and Management Symposium (APNOMS) (pp. 464–467).
Vo, P. L., Nguyen, M. N. H., Le, T. A., & Tran, N. H. (2018). Slicing the edge: Resource allocation for ran network slicing. IEEE Wireless Communications Letters, 7(6), 970–973.
Olwal, T. O., Djouani, K., & Kurien, A. M. (2016, third quarter). A survey of resource management toward 5G radio access networks. IEEE Communications Surveys Tutorials, 18(3), 1656–1686.
Rappaport, T. S., Xing, Y., MacCartney, G. R., Molisch, A. F., Mellios, E., & Zhang, J. (2017, December). Overview of millimeter wave communications for fifth-generation (5G) wireless networks—With a focus on propagation models. IEEE Transactions on Antennas and Propagation, 65(12), 6213–6230.
Ho, T. M., LeAnh, T., Kazmi, S. M. A., & Hong, C. S. (2014, September). Opportunistic resource allocation via stochastic network optimization in cognitive radio networks. In The 16th Asia-Pacific Network Operations and Management Symposium (pp. 1–4).
Adedoyin, M. A., & Falowo, O. E. (2017, June). QoS-based radio resource management for 5G ultra-dense heterogeneous networks. In 2017 European Conference on Networks and Communications (EuCNC) (pp. 1–6).
Kazmi, S. M. A., Tran, N. H., Saad, W., Le, L. B., Ho, T. M., & Hong, C. S. (2016, July). Optimized resource management in heterogeneous wireless networks. IEEE Communications Letters, 20(7), 1397–1400.
Saeed, A., Katranaras, E., Zoha, A., Imran, A., Imran, M. A., & Dianati, M. (2015). Energy efficient resource allocation for 5G heterogeneous networks. In 2015 IEEE 20th International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD) (pp. 119–123). Piscataway: IEEE.
Liu, G., Zhao, H., & Li, D. (2017, October). Resource allocation in heterogeneous networks: A modified many-to-one swap matching. In 2017 IEEE 17th International Conference on Communication Technology (ICCT) (pp. 508–512).
Li, L., Zhao, G., & Blum, R. S. (2018, third quarter). A survey of caching techniques in cellular networks: Research issues and challenges in content placement and delivery strategies. IEEE Communications Surveys Tutorials, 20(3), 1710–1732.
Khreishah, A., & Chakareski, J. (2015, April). Collaborative caching for multicell-coordinated systems. In 2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (pp. 257–262).
Ji, J., Zhu, K., Wang, R., Chen, B., & Dai, C. (2018). Energy efficient caching in backhaul-aware cellular networks with dynamic content popularity. Wireless Communications and Mobile Computing, 2018, 12 pp.
Yang, C., Yao, Y., Chen, Z., & Xia, B. (2016, January). Analysis on cache-enabled wireless heterogeneous networks. IEEE Transactions on Wireless Communications, 15(1), 131–145.
Mao, Y., You, C., Zhang, J., Huang, K., & Letaief, K. B. (2017, fourth quarter). A survey on mobile edge computing: The communication perspective. IEEE Communications Surveys Tutorials, 19(4), 2322–2358.
Yu, S., Wang, X., & Langar, R. (2017, October). Computation offloading for mobile edge computing: A deep learning approach. In 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC) (pp. 1–6).
You, C., Huang, K., Chae, H., & Kim, B. (2017, March). Energy-efficient resource allocation for mobile-edge computation offloading. IEEE Transactions on Wireless Communications, 16(3), 1397–1411.
Mao, Y., Zhang, J., & Letaief, K. B. (2016, December). Dynamic computation offloading for mobile-edge computing with energy harvesting devices. IEEE Journal on Selected Areas in Communications, 34(12), 3590–3605.
Messous, M., Sedjelmaci, H., Houari, N., & Senouci, S. (2017, May). Computation offloading game for an UAV network in mobile edge computing. In 2017 IEEE International Conference on Communications (ICC) (pp. 1–6).
Bastug, E., Bennis, M., Médard, M., & Debbah, M. (2017). Toward interconnected virtual reality: Opportunities, challenges, and enablers. IEEE Communications Magazine, 55(6), 110–117.
Boyd, S., Parikh, N., Chu, E., Peleato, B., & Eckstein, J. (2011, January). Distributed optimization and statistical learning via the alternating direction method of multipliers. Foundations and Trends in Machine Learning, 3(1), 1–122. Available: http://dx.doi.org/10.1561/2200000016
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Kazmi, S.M.A., Khan, L.U., Tran, N.H., Hong, C.S. (2019). Resource Management for Network Slicing. In: Network Slicing for 5G and Beyond Networks. Springer, Cham. https://doi.org/10.1007/978-3-030-16170-5_3
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DOI: https://doi.org/10.1007/978-3-030-16170-5_3
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