Browse > Article
http://dx.doi.org/10.22156/CS4SMB.2020.10.07.001

Hierarchical Dynamic Spectrum Management for Providing Network-wise Fairness in 5G Cloud RAN  

Jo, Ohyun (Department of Computer Science, Chungbuk National University)
Publication Information
Journal of Convergence for Information Technology / v.10, no.7, 2020 , pp. 1-6 More about this Journal
Abstract
A new resource management algorithm is proposed for 5G networks which have a coordinated network architecture. By sharing the contol information among multiple neighbor cells and managing in centralized structure, the propsed algorithm fully utilizes the benefits of network coordination to increase fairness and throughput at the same time. This optimization of network performance is achieved while operating within a tolerable amount of signaling overhead and computational complexity. Simulation results confirm that the proposed scheme improve the network capacity up to 40% for cell edge users and provide network-wise fairness as much as 23% in terms of the well-knwon Jain's Fainess Index.
Keywords
5th Generation network; Coordinated architecture; Dynamic Spectrum Management; QoS; Cloud RAN;
Citations & Related Records
연도 인용수 순위
  • Reference
1 J. Lee, R. V. Sonalkar & J. M. Cioffi. (2005). A multi-user power control algorithm for digital subscriber lines. IEEE Communications Letters, 9(3), 193-195. DOI : 10.1109/LCOMM.2005.03004   DOI
2 W. Yu, G. Ginis & J. M. Cioffi. (2002). Distributed multiuser power control for digital subscriber lines. IEEE Journal on Selected areas in Communications, 20(5), 1105-1115. DOI : 10.1109/JSAC.2002.1007390   DOI
3 W. Yu. (2007). Multiuser water-filling in the presence of crosstalk. In 2007 Information Theory and Applications Workshop (pp. 414-420). IEEE.
4 V. Jungnickel, K. Manolakis, W. Zirwas, B. Panzner, V. Braun, M. Lossow & T. Svensson. (2014). The role of small cells, coordinated multipoint, and massive MIMO in 5G. IEEE communications magazine, 52(5), 44-51. DOI : 10.1109/MCOM.2014.6815892   DOI
5 P. K. Agyapong, M. Iwamura, D. Staehle, W. Kiess & A. Benjebbour. (2014). Design considerations for a 5G network architecture. IEEE Communications Magazine, 52(11), 65-75. DOI : 10.1109/MCOM.2014.6957145   DOI
6 Y. Okumura. (1968). Field strength and its variability in VHF and UHF land-mobile radio service. Rev. Electr. Commun. Lab., 16, 825-873.
7 M. Hata. (1980). Empirical formula for propagation loss in land mobile radio services. IEEE transactions on Vehicular Technology, 29(3), 317-325.   DOI
8 J. Tang, T. Q. Quek, T. H. Chang & B. Shim. (2019). Systematic resource allocation in cloud RAN with caching as a service under two timescales. IEEE Transactions on Communications, 67(11), 7755-7770. DOI : 10.1109/TCOMM.2019.2934854   DOI
9 S. Mosleh, L. iu, J. D. shdown, E. errins & K. Turck. (2019). Content-based user association and MIMO operation over cached Cloud-RAN networks. arXiv preprint arXiv:1906.11318.
10 L. Gavrilovska, V. Rakovic & D. Denkovski. (2020). From Cloud RAN to Open RAN. Wireless Personal Communications, 113, 1523-1539. DOI : 10.1007/s11277-020-07231-3   DOI
11 A. K. Bashir, R. Arul, S. Basheer, G. Raja, R. Jayaraman & N. M. F. Qureshi. (2019). An optimal multitier resource allocation of cloud RAN in 5G using machine learning. Transactions on Emerging Telecommunications Technologies, 30(8), e3627.
12 S. Matoussi, I. Fajjari, N. Aitsaadi, R. Langar & S. Costanzo. (2019). Joint Functional Split and Resource Allocation in 5G Cloud-RAN. In ICC 2019-2019 IEEE International Conference on Communications (ICC) (pp. 1-7). IEEE.