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Photonic Network Communications
Erschienen in: Photonic Network Communications 3/2019

12.01.2019 | Original Paper

Quality-focused resource allocation for resilient 5G network

verfasst von: Rasa Bruzgiene, Lina Narbutaite, Tomas Adomkus

Erschienen in: Photonic Network Communications | Ausgabe 3/2019

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Abstract

The upcoming 5G cellular wireless network brings new challenges and problematic issues in providing services with different quality of service (QoS) requirements and serving huge amount of mobile devices in a spectrum-efficient manner. 5G-based systems will combine macrocells, different type of small cells and heterogeneous networks. As a result of this combination, a 5G-based network will feature a sophisticated multi-layered architecture, and a proper resource allocation will become a major challenge for it. A reliable provision of services as well. In this paper, the analysis of the impact of different QoS schedule algorithms (Round Robin, Best CQI and PF) to the allocation of resources and a reliability of data transmission in 5G network was carried out. Also, the relation of QoS characteristics (BER, data loss) to the perceptual evaluation of service quality by the end user in different ways of the resource allocation on 5G network was investigated also. The perceptual evaluation of a service quality, known as Quality of Experience, was investigated using mean opinion score method.
Vorheriger Artikel Integrated resource optimization with WDM-based fronthaul for multicast-service beam-forming in massive MIMO-enabled 5G networks
Nächster Artikel Centralized vs. distributed algorithms for resilient 5G access networks

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Literatur
1.
VanGiang, N., Anna, B., KarlJohan, G., Javid, T.: 5G Mobile Networks, ch. 2, pp. 31–57. Wiley, New York (2018)
2.
Marsch, P., Da Silva, I., Bulakci, O., Tesanovic, M., El Ayoubi, S.E., Rosowski, T., Kaloxylos, A., Boldi, M.: 5G radio access network architecture: design guidelines and key considerations. IEEE Commun. Mag. 54(11), 24–32 (2016)CrossRef
3.
Zou, J., Wagner, C., Eiselt, M.: Optical fronthauling for 5G mobile: a perspective of passive metro WDM technology. In: Optical Fiber Communication Conference. Optical Society of America, p. W4C.2 (2017)
4.
Infrastructure Association, et al.: 5G vision—the 5G infrastructure public private partnership; the next generation of communication networks and services, White Paper. Brussels (2015, February)
5.
Chen, K., Duan, R.: C-RAN the road towards green RAN, White Paper, vol. 2. China Mobile Research Institute (2011)
6.
Lin, Y., Shao, L., Zhu, Z., Wang, Q., Sabhikhi, R .K.: Wireless network cloud: architecture and system requirements. IBM J. Res. Dev. 54, 4:1–4:12 (2010)CrossRef
7.
Checko, A., Avramova, A.P., Berger, M.S., Christiansen, H.L.: Evaluating c-ran fronthaul functional splits in terms of network level energy and cost savings. J. Commun. Netw. 18, 162–172 (2016)CrossRef
8.
Huawei: 5G Network Architecture: A High-Level Perspective. White Paper. Huawei Technologies Co, Shenzhen (2016)
9.
Murphy, K.: Centralized ran and fronthaul, White Paper. Ericsson, Stockholm (2015)
10.
Skubic, B., Fiorani, M., Tombaz, S., Furuskär, A., Mårtensson, J., Monti, P.: Optical transport solutions for 5G fixed wireless access. J. Opt. Commun. Netw. 9, D10–D18 (2017)CrossRef
11.
Honda, K., Nakamura, H., Hara, K., Sone, K., Nakagawa, G., Hirose, Y., Hoshida, T., Terada, J., Otaka, A.: Wavelength adjustment of upstream signal using amcc with power monitoring for WDM-PON in 5G mobile era. In: Optical Fiber Communication Conference. Optical Society of America, p. Tu3L.4 (2018)
12.
Suzuki, N., Miura, H., Matsuda, K., Matsumoto, R., Motoshima, K.: 100 gb/s to 1 tb/s based coherent passive optical network technology. J. Lightwave Technol. 36, 1485–1491 (2018)CrossRef
13.
Jia, Z., Yu, J., Chien, H.C., Dong, Z., Huo, D.D.: Field transmission of 100 g and beyond: multiple baud rates and mixed line rates using Nyquist-WDM technology. J. Lightwave Technol. 30, 3793–3804 (2012)CrossRef
14.
Bao, X., Wang, G., Hou, Z., Xu, M., Peng, L., Han, H.: WDM switch technology application in smart substation communication network. In: 2015 5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), pp. 2373–2376 (2015)
15.
Hossain, E., Hasan, M.: 5G cellular: Key enabling technologies and research challenges. CoRR (2015). arXiv1503.00674
16.
Hajjawi, A., Ismail, M., Abdullah, N. F., Hindia, M. N., Al-Samman, A. M., Hanafi, E.: Investigation of the impact of different scheduling algorithm for macro-femto-cells over lte-a networks. In: 2016 IEEE 3rd International Symposium on Telecommunication Technologies (ISTT). IEEE, pp. 125–128 (2016)
17.
Ghariani, T., Jouaber, B.: Energy consumption evaluation for lte scheduling algorithms. In: 2015 International Symposium on Networks, Computers and Communications (ISNCC). IEEE, pp. 1–5 (2015)
18.
Ghasemzadeh, M.: Qos based resource management for cloud environment. Master thesis (2016)
19.
Nikaein, N., Schiller, E., Favraud, R., Knopp, R., Alyafawi, I., Braun, T.: Towards a cloud-native radio access network. Advances in Mobile Cloud Computing and Big Data in the 5G Era, pp. 171–202. Springer, Berlin (2017)CrossRef
20.
Chang, C. Y., Schiavi, R., Nikaein, N., Spyropoulos, T., Bonnet, C.: Impact of packetization and functional split on c-ran fronthaul performance. In: 2016 IEEE International Conference on Communications (ICC), pp. 1–7 (2016)
21.
Khalili, S., Simeone, O.: Uplink harq for cloud ran via separation of control and data planes. IEEE Trans. Veh. Technol. 66, 4005–4016 (2017)CrossRef
22.
Peng, M., Sun, Y., Li, X., Mao, Z., Wang, C.: Recent advances in cloud radio access networks: system architectures, key techniques, and open issues. IEEE Commun. Surv. Tutor. 18, 2282–2308 (2016)CrossRef
23.
Tran, T.X., Hajisami, A., Pompili, D.: Cooperative hierarchical caching in 5G cloud radio access networks. IEEE Netw. 31(4), 35–41 (2017)CrossRef
24.
Fakhri, Z. H., Khan, M., Sabir, F., Al-Raweshidy, H. S.: A resource allocation mechanism for cloud radio access network based on cell differentiation and integration concept. IEEE Trans. Netw. Sci. Eng. 5(4), 261–275 (2017)CrossRef
Metadaten
Titel
Quality-focused resource allocation for resilient 5G network
verfasst von
Rasa Bruzgiene
Lina Narbutaite
Tomas Adomkus
Publikationsdatum
12.01.2019
Verlag
Springer US
Erschienen in
Photonic Network Communications / Ausgabe 3/2019
Print ISSN: 1387-974X
Elektronische ISSN: 1572-8188
DOI
https://doi.org/10.1007/s11107-018-00820-0

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