ADAPTIVE REAL-TIME SPECTRUM SELECTION FRAMEWORK AND HANDOVER DECISION ALGORITHM (RSSF-HDA) FOR HETEROGENEOUS NETWORKS

Victor Nkeleme; L. I. Oborkhale; G. Sani

doi:10.4314/njt.v42i2.15

Authors

Victor Nkeleme Department of Electrical/Electronic Engineering, Michael Okpara University of Agriculture Umudike, Abia State.
L. I. Oborkhale Department of Electrical/Electronic Engineering, Michael Okpara University of Agriculture Umudike, Abia State.
G. Sani Department of Computer Engineering,University of Calabar, Calabar, Cross River State, Nigeria

DOI:

https://doi.org/10.4314/njt.v42i2.15

Keywords:

Carrier Component, HetNet, Handover, Carrier aggregation, CAD, Handover Algorithm

Abstract

Carrier aggregation (CA) is a technology introduced by the Long-Term Evolution-Advanced (LTE-A) system to increase user throughput by combining selected number of component carriers (CCs). Its integration with heterogeneous networks enable the mobile user equipment to take advantage of increased throughput and radio coverage of various access technologies. However, due to the mobility of user equipment, these innovations have increased the likelihood of handoff scenarios, resulting in a high outage probability and low throughput. Handover is a crucial part of mobility management since it enables users to move from one cell to another while maintaining connections. However, no single access technique can provide seamless communication without interruption or delay. As a result, creating a suitable handover decision algorithm is necessary for ensuring high-quality service continuity and dependable user equipment access to the network at all times. An Adaptive Real-Time Spectrum Selection Framework and Handover Decision Algorithm (RSSF-HDA) with optimal resource allocation to the deployed system model is presented in this paper. This effort is geared toward preventing communication failure and improving system performance. It further positions the 4G LTE-A framework for inclusive coexistence with the current 5G New Radio enhanced Mobile Broadband (eMBB) use case scenario. The results of the simulation reveal that this method increases system performance in terms of Cell edge spectral efficiency, and Handover success rate above 10% and 13% respectively when compared to Conventional Handover Decision Algorithm (Conv-HDA) and Multi-Influence Factor Handover Decision Algorithms (MIF-HDA).

References

Abdulazeez-Ahmed, M., Nordin, N. K., Sali, A. B., and Hashim, F. “Multi-criteria handover decision for heterogeneous networks: Carrier aggregation deployment scenario”, Int. J. Comput. Networks Commun., vol. 12, no. 4, pp. 41–54, Jul. 2020, doi: 10.5121/IJCNC.202 0.12403.

Shayea, I., Ismail, M., Nordin, R., and Mohamad, H. “Adaptive handover decision algorithm based on multi-influence factors through carrier aggregation implementation in LTE-advanced system”, J. Comput. Networks Commun., vol. 2014, 2014, doi: 10.1155/201 4/739504.

Qamar, F., Siddiqui, M. U. A., Hindia, M. H. D. A., Hassan, R., and Nguyen, Q. N. “Issues, Challenges, and Research Trends in Spectrum Management: A Comprehensive Overview and New Vision for Designing 6G Networks,” Electron. 2020, Vol. 9, Page 1416, vol. 9, no. 9, p. 1416, Sep. 2020, doi: 10.3390/ELECTRO NICS9091416.

Siddiqui, M. U. A., Qamar, F., Tayyab, M., Hindia, M. H. D. N., Nguyen, Q. N., and Hassan, R. “Mobility Management Issues and Solutions in 5G-and-Beyond Networks: A Comprehensive Review”, Electron. 2022, Vol. 11, Page 1366, vol. 11, no. 9, p. 1366, Apr. 2022, doi: 10.3390/ELECTRONICS1109136 6.

Ibrahim, S. K., and Khamiss, N. N. “Optimization a Scheduling Algorithm of CA in LTE ADV”, TELKOMNIKA Telecommuni-cation Comput. Electron. Control., vol. 16, no. 6, pp. 2514–2521, Dec. 2018, doi: 10.12928/TELKOMNIKA.V16I6.1 0054.

Simarmata, R. F., Fahmi, A., and Meylani, L. “Analisis Kinerja Teknik Carrier Aggregation Tdd-fdd Di Lte-advanced Dengan Skenario Inter-band Carrier Aggregation”, eProceedin-gs Eng., vol. 7, no. 2, Aug. 2020, Accessed: Dec. 06, 2022. [Online]. Available: https:// openlibrarypublications.telkomuniversity.ac.id/index.php/engineering/article/view/12693

“LTE; Requirements for further advancements for Evolved Universal Terrestrial Radio Acc-ess (E-UTRA) (LTE-Advanced)”, 2010, Acce-ssed: Dec. 07, 2022. [Online]. Available: htt p://portal.etsi.org/chaircor/ETSI_support.asp

TSGR, “TS 136 101 - V13.2.1 - LTE; Evolved Universal Terrestrial Radio Access (E-UTRA); User Equipment (UE) radio transmission and reception (3GPP TS 36.101 version 13.2.1 Release 13)”, 2016, Accessed: Dec. 06, 2022. [Online]. Available: https://portal.etsi.org/TB/ETSIDeliverableStatus.aspx

Galih, R. “Carrier Aggregation Technique to Improve Capacity in LTE-Advanced Network”, TELKOMNIKA, vol. 14, no. 1, pp. 1693–6930, 2016, doi: 10.12928/TELKOMN IKA.v14i1.2668.

Wahidin, H. Putri, and Christiary, Y. “The Evaluation of the Throughput Performance of an LTE-Advanced Urban Area Network with the Inter-Band Non-Contiguous Carrier Aggregation Method”, J. Hunan Univ. Nat. Sci., vol. 49, no. 8, pp. 209–217, Aug. 2022, doi: 10.55463/ISSN.1674-2974.49.8.25.

Zhang, R. “Radio Resource Management in LTE-Advanced Systems with Carrier Aggregation”, Jun. 2016, Accessed: Dec. 06, 2022. [Online]. Available: https://uwspace.u waterloo.ca/handle/10012/10552

Qu, W., Fu, Y., and Zhao, Y. “A novel UE preference based component carrier selection algorithm in LTE-advanced”, IEEE Veh. Technol. Conf., vol. 2017-September, pp. 1–5, Feb. 2018, doi: 10.1109/VTCFALL.2017.828 8060.

“(PDF) Evaluation of Handover Performance on Heterogeneous Networks: Carrier Aggregation Deployment Scenarios with Femtocells”, https://www.researchgate.net/pu blication/342638332_Evaluation_of_Handover_Performance_on_Heterogeneous_Networks_Carrier_Aggregation_Deployment_Scenarios_with_Femtocells (accessed Dec. 07, 2022).

Shayea, I., Ismail, M., Nordin, R., Mohamad, H, Abd Rahman, T., and Abdullah, N. F. “Novel handover optimization with a coordinated contiguous carrier aggregation deployment scenario in LTE-Advanced systems”, Mob. Inf. Syst., vol. 2016, 2016, doi: 10.1155/2016/4939872.

Karandikar, A., Akhtar, N., and Mehta, M. “Mobility Management in LTE Networks”, Mobil. Manag. LTE Heterog. Networks, pp. 13–32, 2017, doi: 10.1007/978-981-10-4355-0_2.

Tayyab, M., Gelabert, X., and Jantti, R. “A Survey on Handover Management: From LTE to NR”, IEEE Access, vol. 7, pp. 118907–118930, 2019, doi: 10.1109/ACCESS.2019.29 37405.

Maaloul, S., Afif, M., and Tabbane, S. “Handover Decision in Heterogeneous Networks”, in 2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA), Mar. 2016, pp. 588–595. doi: 10.1109/AINA.2016.3 3.

TSGR, “TS 136 211 - V10.3.0 - LTE; Evolved Universal Terrestrial Radio Access (E-UTRA); Physical channels and modula-tion (3GPP TS 36.211 version 10.3.0 Release 10)”, 2011, Accessed: Dec. 11, 2022. [Online]. Available: http://portal.etsi.org/chaircor/ETS I_support.asp

Arib, “3rd Generation Partnership Project; Technical Specification Group Radio Access Network; Evolved Universal Terrestrial Radio Access (E-UTRA); TDD Home eNode B (HeNB) Radio Frequency (RF) requirements analysis (Release 11)”, 2012, Accessed: Dec. 06, 2022. [Online]. Available: http://www.3gp p.org