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Semantic Coordination on the Edge of Heterogeneous Ultra Dense Networks

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Abstract

Ultra Dense Networks with flexible heterogeneous technologies (HetUDN) for the Radio Access Network (RAN) are prospective candidate architectures that promise to bring the required network flexibility and to support the transition to 5G networks. In the same time, Multi-access Edge Computing (MEC) is a recent paradigm shift that pushes the main focal point of mobile systems from centralized Mobile Cloud Computing (MCC) towards the network edge. Network softwarization enables the operation of new computational elements such as base stations and access points at the MEC, whereas edge computing, network control and storage promise to enable computation-intensive and latency-critical applications for resource constrained mobile devices. In this paper, we employ a novel disaggregated 5G architecture and apply a semantic-based coordination approach from the network edge. We consider semantics as the key enabling principle for the implementation of spectrum coordination schemes addressing the coexistence of heterogeneous technologies at the edge of 5G HetUDN wireless networks. A Semantic-based Framework for dynamic Spectrum Coordination (SFSC) deployed according to the MEC approach is proposed dealing with agile complex system resource management. Practical experimental evidence evaluated on a networking testbed is provided, proving that a semantic MEC middleware is capable of delivering novel advanced computation communication paradigms as needed for 5G networks.

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References

  1. Tran, T.X., Hajisami, A., Pandey, P., Pompili, D.: Collaborative mobile edge computing in 5G networks: New paradigms, scenarios, and challenges (2016), arXiv preprint arXiv:1612.03184, Accessed 3 March 2019

  2. Rimal, B.P., Van, D.P., Maier, M.: Mobile edge computing empowered fiber-wireless access networks in the 5G era. IEEE Commun. Mag. 55, 192–200 (2017)

    Article  Google Scholar 

  3. Oguejiofor, O., Abe, A., Aniedu, A.N., Okechukwu, G.N.: Interference issues and management techniques in heterogeneous cellular networks: a review. IUP J. Telecommun. 10(4), 7–27 (2018)

    Google Scholar 

  4. Amiri, R., Mehrpouyan, H., Fridman, L., Mallik, R. K., Nallanathan, A., Matolak, D.: A machine learning approach for power allocation in HetNets considering QoS, 2018 In: IEEE International Conference on Communications (ICC), Kansas City (2018), pp. 1–7. doi: https://doi.org/10.1109/ICC.2018.8422864

  5. Tosic, M., Nejkovic, V., Jelenkovic, F., Milosevic, N., Nikolic, Z., Seskar, I.: The CoordSS experimentation framework ontologies. In: 23rd Telecommunications Forum Telfor (TELFOR), IEEE; (2015) pp. 325–328

  6. Lagen, S., Giupponi, L., Patriciello, N.: LBT Switching Procedures for New Radio-Based Access to Unlicensed Spectrum. In: 2018 IEEE Globecom Workshops (GC Wkshps) pp. 1–6. IEEE (2018)

  7. Lagen, S., Giupponi, L., Goyal, S., Patriciello, N., Bojovic, B., Demir, A., Beluri, M.: New radio beam-based access to unlicensed spectrum: design challenges and solutions. IEEE Commun. Surv. Tutorials 22, 8–27 (2019)

    Article  Google Scholar 

  8. Alcatel-Lucent, E., Qualcomm, S.: LTE-U technical report coexistence study for LTE-U SDL v1.0, in: LTE-U Forum

  9. Alliance, M.: MulteFire release 1.0 technical paper: a new way to wireless 2017, white paper. (2017)

  10. Tosic, M., Nikolic, Z., Nejkovic, V., Dimitrijevic, B., Milosevic, N.: Spectrum Sensing Coordination for FIRE LTE testbeds, In: Proceedings of the 2nd International Conference on Electrical, Electronic and Computing Engineering (2015)

  11. Tosic, M., Nejkovic, V., Jelenkovic, F., Milosevic, N., Nikolic, Z., Makris, N., Korakis, T.: Semantic coordination protocol for LTE and Wi-Fi coexistence. In: European Conference on Networks and Communications (EuCNC), IEEE, pp. 69–73 (2016)

  12. Makris, N., Zarafetas, C., Kechagias, S., Korakis, T., Seskar, I., Tassiulas, L.: Enabling open access to LTE network components; the NITOS testbed paradigm. In: 1st IEEE Conference on Network Softwarization (NetSoft), IEEE, pp. 1–6 (2015)

  13. Checko, A., Christiansen, H.L, Yan, Y., Scolari, L., Kardaras, G., Berger, M.S., Dittmann, L.: Cloud RAN for mobile networks: a technology overview. In: IEEE Communications surveys & tutorials 17: (2015)

  14. Reznik, A. et al.: ETSI White Paper No. 23: Cloud RAN and MEC: A Perfect Pairing (2018)

  15. Emara, M., Filippou, M.C, Sabella, D.: MEC-aware cell association for 5G heterogeneous networks. In: Wireless Communications and Networking Conference Workshops (WCNCW), IEEE, pp. 350–355 (2018)

  16. Zhang, K., Mao, Y., Leng, S., Zhao, Q., Li, L., Peng, X., Pan, L., Maharjan, S., Zhang, Y.: Energy-efficient offloading for Mobile Edge Computing in 5G Heterogeneous Networks. IEEE Access 4, 5896–5907 (2016)

    Article  Google Scholar 

  17. Deb, S., Monogioudis, P., Miernik, J., Seymour, J.P.: Algorithms for enhanced inter-cell interference coordination (eICIC) in LTE HetNets. IEEE/ACM Trans. Netw. (ToN) 22, 137–150 (2014)

    Article  Google Scholar 

  18. Passas, V., Makris, N., Keranidis, S., Korakis, T., Tassiulas, L.: Towards the efficient performance of LTE-A systems: Implementing a cell planning framework based on cognitive sensing. In: 1st International Workshop on Cognitive Cellular Systems (CCS), IEEE, pp. 1–5 (2014)

  19. Zhang, R., Wang, M., Cai, L.X., Zheng, Z., Shen, X., Xie, L.L.: LTE unlicensed: The future of spectrum aggregation for cellular networks. IEEE Wirel. Commun. 22(2015), 150–159 (2015)

    Article  Google Scholar 

  20. Makris, N., Samaras, A.D, Passas, V., Korakis, T., Tassiulas, L.: Measuring LTE and WiFi coexistence in Unlicensed spectrum. In: European Conference on Networks and Communications (EuCNC), IEEE, pp. 1–6 (2017)

  21. Berners-Lee, T., Hendler, J., Lassila, O., et al.: The semantic web. Sci. Am. 284, 28–37 (2001)

    Article  Google Scholar 

  22. P´erez, J., Arenas, M., Gutierrez, C.: Semantics and complexity of SPARQL. In: International semantic web conference, Springer, pp. 30–43

  23. Su, X., Li, P., Li, Y., Flores,H., Riekki, J., Prehofer, C.: Towards semantic reasoning on the edge of IoT systems. In: Proceedings of the 6th International Conference on the Internet of Things, ACM, pp. 171–172 (2016)

  24. Maarala, A.I., Su, X., Riekki, J.: Semantic reasoning for context-aware Internet of Things applications. IEEE Internet Things J. 4, 461–473 (2017)

    Article  Google Scholar 

  25. Tosic, M., Nejkovic, V., Jelenkovic, F., Milosevic, N., Nikolic, Z.: Coordss: an ontology framework for heterogeneous networks experimentation. Telfor. J. 8(2), 70–75 (2016)

    Article  Google Scholar 

  26. Milosevic, N., Nikolic, Z., Nejkovic, V., Tosic, M., (2018). WiFi-ZigBee Coordination using Spectrum Sensing and Edge Computing, in: European Conference on Networks and Communications (EuCNC 2018), IEEE, pp. 135–136.

  27. Nejkovic, V., Milosevic, N., Jelenkovic, F., Nikolic, Z., Tosic, M.: Data mining for interference avoidance in smart cities IoT networks, Facta Universitatis, Series: Automatic Control and Robotics nov.2018, pp. 13–24 (2018)

  28. 2CENTS Project.: (2019). https://infosys1.elfak.ni.ac.rs/2cents/

  29. Jelenkovic, F., Tosic, M., Nejkovic, V.: Semantic driven code generation for networking testbed experimentation. Enterp. Inform. Syst. 8–9(2018), 1083–1099 (2018)

    Article  Google Scholar 

  30. SecGENE Project.: (2019) https://infosys1.elfak.ni.ac.rs/secgene/

  31. Petrovic, N., Nejkovic, V., Milosevic, N., Tosic, M.: A semantic framework for design-time RioT device mission coordination. In: Proceedings of 26th Telecommunications Forum (TELFOR), pp. 835–838 (2018)

  32. Nejkovic, V., Petrovic, N., Milosevic, N., Tosic, M.: The SCOR Ontologies Framework for Robotics Testbed. In: Proceedings of 26th Telecommunications Forum (TELFOR). (2018)

  33. SCOR Project (2019) https://infosys1.elfak.ni.ac.rs/scor/

  34. Apache Jena-Open Source Java framework for building Semantic Web 711 and Linked Data applications. (2019) https://jena.apache.org/

  35. OWL Web Ontology Language (2019). https://www.w3.org/TR/owl-features/.

  36. Prud ‘Hommeaux, E., Seaborne. (2008). A. SPARQL query language for RDF w3c recommendation 15.

  37. Makris, N., Karamichailidis, P., Zarafetas, C., Korakis, T.: Spectrum coordination for disaggregated ultra dense heterogeneous 5G networks. In: 2019 European Conference on Networks and Communications (EuCNC) (pp. 512–517). IEEE (2019)

  38. Cui, Q., Wang, H., Hu, P., Tao, X., Zhang, P., Hamalainen, J., Xia, L.: Evolution of limited-feedback CoMP systems from 4G to 5G: CoMP features and limited-feedback approaches. IEEE Veh. Technol. Mag. 9(3), 94–103 (2014)

    Article  Google Scholar 

  39. Deb, S., Monogioudis, P., Miernik, J., Seymour, J.P.: Algorithms for enhanced inter-cell interference coordination (eICIC) in LTE HetNets. IEEE/ACM Trans. Network. 22(1), 137–150 (2013)

    Article  Google Scholar 

  40. Xu, Z., Yang, C., Li, G.Y., Liu, Y., Xu, S.: Energy-efficient CoMP precoding in heterogeneous networks. IEEE Trans. Signal Process. 62(4), 1005–1017 (2013)

    Article  MathSciNet  Google Scholar 

  41. IEEE, Telecommunications and information exchange between systems Local and metropolitan area networks Specific requirements Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications Amendment 4: Enhancements for Very High Throughput for Operation in Bands below 6 GHz, IEEE Std 802.11ac 2013, (2013)

  42. Nikaein, N., Marina, M.K., Manickam, S., Dawson, A., Knopp, R., Bonnet, C.: OpenAirInterface: a flexible platform for 5G research. ACM SIGCOMM Comput. Commun. Rev. 44, 33–38 (2014)

    Article  Google Scholar 

  43. 3GPP. 3GPP TS 38.470 V0.3.0 (2017–2009), 3rd Generation Partnership Project; Technical Specification Group Radio Access Network; NG-RAN; F1 general aspects and principles (Release 15), (2017)

  44. Larsen, L.M., Checko, A., Christiansen, H.L.: A survey of the functional splits proposed for 5G mobile crosshaul networks. IEEE Commun. Surv. Tutor. 21(1), 146–172 (2018)

    Article  Google Scholar 

  45. Makris, N., Basaras, P., Korakis, T., Nikaein, N., Tassiulas, L.: Experimental evaluation of functional splits for 5G cloud-RANs. In: 2017 IEEE International Conference on Communications (ICC) (pp. 1–6). IEEE (2017)

  46. 3GPP, “3GPP TS 36.360 V14.0.0 (2017–2003), 3rd Generation Partnership Project; Technical Specification Group Radio Access Network; Evolved Universal Terrestrial Radio Access (E-UTRA); LTE-WLAN Aggregation Adaptation Protocol (LWAAP) specification (Release 14),” (2017)

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Authors and Affiliations

  1. Faculty of Electronic Engineering, University of Nis, Nis, Serbia

    Valentina Nejkovic, Filip Jelenkovic & Milorad Tosic

  2. University of Thessaly and CERTH, Thessaloniki, Greece

    Nikos Makris, Virgilios Passas & Thanasis Korakis

Authors
  1. Valentina Nejkovic
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  2. Filip Jelenkovic
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  3. Nikos Makris
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  4. Virgilios Passas
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  5. Thanasis Korakis
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  6. Milorad Tosic
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Correspondence to Valentina Nejkovic.

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Nejkovic, V., Jelenkovic, F., Makris, N. et al. Semantic Coordination on the Edge of Heterogeneous Ultra Dense Networks. J Netw Syst Manage 29, 17 (2021). https://doi.org/10.1007/s10922-020-09576-3

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