journal article·2021Open access

Mobility Management in Small Cell Cluster of Cellular Network

Adeel Rafiq, Muhammad Afaq, Khizar Abbas, Wang-Cheol Song

Computers, Materials & Continua· Volume 69· Issue 1

Abstract

The installation of small cells in a 5G network extends the maximum coverage and provides high availability. However, this approach increases the handover overhead in the Core Network (CN) due to frequent handoffs. The variation of user density and movement inside a region of small cells also increases the handover overhead in CN. However, the present 5G system cannot reduce the handover overhead in CN under such circumstances because it relies on a traditionally rigid and complex hierarchical sequence for a handover procedure. Recently, Not Only Stack (NO Stack) architecture has been introduced for Radio Access Network (RAN) to reduce the signaling during handover. This paper proposes a system based on NO Stack architecture and solves the aforementioned problem by adding a dedicated local mobility controller to the edge cloud for each cluster. The dedicated cluster controller manages the user mobility locally inside a cluster and also maintains the forwarding data of a mobile user locally. To reduce the latency for X2-based handover requests, an edge cloud infrastructure has been also developed to provide high-computing for dedicated controllers at the edge of a cellular network. The proposed system is also compared with the traditional 3GPP architecture and other works in the context of overhead and delay caused by X2-based handover requests during user mobility. Simulated results show that the inclusion of a dedicated local controller for small clusters together with the implementation of NO Stack framework reduces the significant amount of overhead of X2-based handover requests at CN.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced MIMO Systems Optimization · Cooperative Communication and Network Coding · Advanced Wireless Network Optimization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (39)

Show source-provided references
1. Software-defined network virtualization: An architectural framework for integrating SDN and NFV for service provisioning in future networks10.1109/MNET.2016.7579021 ↗
2. 3GPP, “Mobility enhancements in heterogeneous networks,” 2012. [Online]. Available: http://www.3gpp.org/.
3. 3GPP, “Scenarios and requirements for small cell enhancements,” 2014. [Online]. Available: http://www.3gpp.org/.
4. NGMN, “Small cell backhaul requirements,” 2012. [Online]. Available: https://www.ngmn.org/publica-tions/ngmn-whitepaper-small-cell-backhaul-requirements.html.
5. Small Cell Forum, “Small cells-what’s the big idea?,” 2012. [Online]. Available: https://www.yumpu.com/en/document/read/3352328/small-cells-aeur-whats-the-big-idea-small-cell-forum.
6. Ofcom, “Ofcom unveils plans for 4G auction of the airwaves,” 2012. [Online]. Available: https://www.ofcom.org.uk/about-ofcom/latest/media/media-releases/2012/ofcom-unveils-plans-for-4g-auction-of-the-airwaves.
7. Ziyu Xiao and Harry Perros, “Response time of the S1 and X2 handover procedures between (H) eNBs in a virtualized environment,” 2015. [Online]. Available: https://people.engr.ncsu.edu/hp/papers/ZiYu1.pdf.
8. Key techniques for 5G wireless communications: Network architecture, physical layer and MAC layer perspectives
9. Future RAN architecture: SD-RAN through a general-purpose processing platform10.1109/MVT.2014.2380632 ↗
10. On scalability of software-defined networking10.1109/MCOM.2013.6461198 ↗
11. An effective hierarchical control plane for software-defined networks leveraging TOPSIS for end-to-end QoS class-mapping10.1109/ACCESS.2020.2993556 ↗
12. Quality of service improvement with optimal software-defined networking controller and control plane clustering10.32604/cmc.2021.014576 ↗
13. Cloud RAN for mobile networks—A technology overview10.1109/COMST.2014.2355255 ↗
14. When ICN meets C-RAN for HetNets: An SDN approach10.1109/MCOM.2015.7321980 ↗
15. A proposal for hybrid SDN C-RAN architectures for enhancing control signaling under mobility
16. NO stack: A software-defined framework for 5G mobile network
17. On scalability of software-defined networking10.1109/MCOM.2013.6461198 ↗
18. Y. C. Hu, M. Patel, D. Sabella, N. Sprecher and V. Young, “Mobile Edge Computing A key technology towards 5G,” 2015. [Online]. Available: https://www.etsi.org/images/files/etsiwhitepapers/etsi_wp11_mec_a_key_technology_towards_5g.pdf.
19. Adaptive mobility load balancing algorithm for LTE small-cell networks10.1109/TWC.2018.2789902 ↗
20. Frequent-handover mitigation in ultra-dense heterogeneous networks10.1109/TVT.2018.2874692 ↗
21. Analysis of shortest path routing for large multi-hop wireless networks10.14419/ijet.v7i3.10.15630 ↗
22. User mobility impacts to mobility load balancing for self-organizing network over LTE system
23. Mobility management in ultra-dense networks: Handover skipping techniques10.1109/ACCESS.2018.2810318 ↗
24. Reduction of core network signalling overhead in cluster based LTE small cell networks
25. NO stack for enhancing mobility performance in 5G radio access network
26. A 5G virtualized RAN based on NO stack10.1109/CC.2017.7961375 ↗
27. Vertical handover analysis for randomly deployed small cells in heterogeneous networks10.1109/TWC.2019.2963829 ↗
28. Mobility performance enhancement in small cells cluster of 5G network: A handover overhead reduction approach
29. NO stack: A SDN-based framework for future cellular networks
30. 5G virtualized radio access network approach based on NO Stack framework
31. ETSI, “S1 application protocol (S1AP),” 2015. [Online]. Available: https://www.etsi.org/deliver/etsi_ts/136400_136499/136413/12.04.00_60/ts_136413v120400p.pdf.
32. ETSI, “X2 general aspects and principles,” 2015. [Online]. Available: https://www.etsi.org/deliver/etsi_ts/136400_136499/136420/12.01.00_60/ts_136420v120100p.pdf.
33. ETSI, “OSM Quickstart,” 2020. [Online]. Available: https://osm.etsi.org/docs/user-guide/01-quickstart. html.
34. Intent-based end-to-end network service orchestration system for multi-platforms10.3390/su12072782 ↗
35. OpenStack, “Training Labs,” 2020. [Online]. Available: https://wiki.openstack.org/wiki/Documentation/ training-labs.
36. An efficient SDN-based LTE-WiFi spectrum aggregation system for heterogeneous 5G networks
37. Integrating cloud-RAN with packet core as VNF using open ssurce MANO and openairinterface
38. EPC VNFD, [Online]. Available: https://github.com/simula/5gvinni-oai-ns.
39. 3GPP, “Feasibility study for UTRA and UTRAN,” 2014. [Online]. Available: https://www.3gpp.org/ftp//Specs/archive/25_series/25.912/.