APPLIED JOURNAL OF PHYSICAL SCIENCE
Integrity Research Journals

ISSN: 2756-6684
Model: Open Access/Peer Reviewed
DOI: 10.31248/AJPS
Start Year: 2018
Email: ajps@integrityresjournals.org


Performance evaluation of inter-cell interference prediction in massive MIMO

https://doi.org/10.31248/AJPS2021.039   |   Article Number: F9B769F11   |   Vol.3 (2) - April 2021

Received Date: 17 February 2021   |   Accepted Date: 15 March 2021  |   Published Date: 30 April 2021

Authors:  Abayomi Isiaka O. Yussuff* and Abdul-Rasaq A. Bakare

Keywords: Inter-cell interference, LTE, massive MIMO, multiple access technique, non-orthogonal.

This paper presents inter-cell interference prediction in massive multiple input multiple output. The rapid demand for widespread multimedia services notwithstanding the deployment of 4G in Lagos, Nigeria and the urgent need to upgrade to 5G networks with downlink and uplink data capacities of not less than 300 and 60 Mbps, respectively for at least 95% penetration rate at any instantaneous time; there is a possibility of experiencing crosstalk and adjacent inter-cell interference within the receiving antennas. 5G inter-cell interference prediction scheme that employs LTE performance index using locally sourced data from Huawei Nigeria limited was presented. The performances of the currently deployed LTE network were evaluated by employing performance metrics such as uplink and downlink capacities and recommending a possible inter-cell interference mitigation technique to be implemented in the deployment of 5G network in Lagos. The identified key performance metrics used include over the air emulation, carrier to interference plus noise ratio, peak RLC throughput, coverage probability, and the map-based model. Hence, ICIC static coordination algorithm, which comprise NOICIC, Hard FFR, PFR, SFR and SFFR were analyzed. With static ICIC algorithm, the coverage probability was 78% for receiving more than 20 kbps, with cell-edge users using resources of centre-users and with edge-users of neighbouring cells using different resource block; therefore reducing interference and consequently increasing throughput when there is static ICIC coordination. Implementing the static ICIC schemes on the 5G network when deployed in Lagos will improve the average downlink throughput over what is currently attainable with the 4G network in use at the moment.

Ayanoglu, E. (2016). 5G today: Modulation technique alternatives. In: 2016 International Conference on Computing, Networking and Communications (ICNC) (pp. 1-5). IEEE.
Crossref
 
Bai, J., Yeh, S. P., Xue, F., Choi, Y. S., Wang, P., & Talwar, S. (2019). Full-duplex in 5G small cell access: Systemdesign and performance aspects. arXiv preprint arXiv:1903.09893.
 
Bandopadhaya, S., Samal, S. R., & Poulkov, V. (2021). Machine learning enabled performance prediction model for massive-MIMO HetNet system. Sensors, 21(3), 800.
Crossref
 
Bhattacharyya, B., & Bhattacharya, S. (2013). Emerging fields in 4G technology, its applications and beyond- An Overview. International Journal of Information and Computation Technology, 3(4), 251-260.
 
Cai, Y., Qin, Z., Cui, F., Li, G. Y., & McCann, J. A. (2017). Modulation and multiple access for 5G networks. IEEE Communications Surveys and Tutorials, 20(1), 629-646.
Crossref
 
de Lamare, R. C. (2013). Massive MIMO systems: Signal processing challenges and research trends. arXiv preprint arXiv:1310.7282.
 
Ding, Z., Lei, X., Karagiannidis, G. K., Schober, R., Yuan, J., & Bhargava, V. K. (2017). A survey on non-orthogonal multiple access for 5G networks: Research challenges and future trends. IEEE Journal on Selected Areas in Communications, 35(10), 2181-2195.
Crossref
 
Du, L., Li, L., Ngo, H. Q., Mai, T. C., & Matthaiou, M. (2021). Cell-free massive MIMO: Joint maximum-ratio and zero-forcing precoder with power control. IEEE Transactions on Communications.
Crossref
 
Fodor, G., Rajatheva, N., Zirwas, W., Thiele, L., Kurras, M., Guo, K., Tolli, A., Sorensen, J. H., & De Carvalho, E. (2017). An overview of massive MIMO technology components in METIS. IEEE Communications Magazine, 55(6), 155-161.
Crossref
 
Global mobile Suppliers Association (2015). The road to 5G: Drivers, applications, requirements and technical development. A GSA Executive Report from Ericsson, Huawei and Qualcomm.
 
Hassan, T. U., & Gao, F. (2019). An active power control technique for downlink interference management in a two-tier macro-femto network. Sensors, 19(9), 2015.
Crossref
 
Hicham, M., Abghour, N., & Ouzzif, M. (2015). 4G system: network architecture and performance. International Journal of Innovative Research Advanced Engineering, 2(4), 215-220.
 
Hossain, E., Rasti, M., Tabassum, H., & Abdelnasser, A. (2014). Evolution toward 5G multi-tier cellular wireless networks: An interference management perspective. IEEE Wireless Communications, 21(3), 118-127.
Crossref
 
Huawei (2017). Annual Report Bring digital to every person , home and organization. Pp. 1-142.
 
Hussain, S. S., Yaseen, S. M., & Barman, K. (2016). An overview of massive MIMO system in 5G. IJCTA, 9(11), 4957-4968.
 
Intelligence, G. S. M. A. (2014). Understanding 5G: Perspectives on future technological advancements in mobile. White paper, Pp. 1-26.
 
Islam, M. D., & Chowdhury, M. N. H. (2013). Study of inter-cell interference and its impact on the quality of video conference traffic in LTE Network. Master Thesis, Electrical Engineering, School of Computing, Blekinge Institute of Technology, 371 79 Karlskrona, Sweden.
 
Katranaras, E., Imran, M. A., & Tzaras, C. (2009). Uplink capacity of a variable density cellular system with multicell processing. IEEE Transactions on Communications, 57(7), 2098-2108.
Crossref
 
Khansefid, A., & Minn, H. (2015). On channel estimation for massive MIMO with pilot contamination. IEEE Communications Letters, 19(9), 1660-1663.
Crossref
 
Kyosti, P. (2018). Radio channel modelling for 5G telecommunication system evaluation and over the air testing. Doctoral dissertation, Acta Ouluensis, C656.
 
Li, L., Ashikhmin, A., & Marzetta, T. (2014). Interference reduction in multi-cell massive MIMO Systems II: Downlink analysis for a finite number of antennas. arXiv preprint arXiv:1411.4183.
 
Lopez, V. F. (2016). Cooperative Resource Management and Interference Mitigation for Dense Networks. Ph.D. Dissertation, Department of Electronic Systems, Aalborg University. Published by Aalborg University Press.
 
Lopez-Perez, D., De Domenico, A., Piovesan, N., Baohongqiang, H., Xinli, G., Qitao, S., & Debbah, M. (2021). A Survey on 5G energy efficiency: Massive MIMO, lean carrier design, sleep modes, and machine learning. arXiv preprint arXiv:2101.11246.
 
Marzetta, T. L., & Ngo, H. Q. (2016). Fundamentals of massive MIMO. Cambridge University Press.
Crossref
 
Papadopoulos, H., Wang, C., Bursalioglu, O., Hou, X., & Kishiyama, Y. (2016). Massive MIMO technologies and challenges towards 5G. IEICE Transactions on Communications, 99(3), 602-621.
Crossref
 
Richter, F., & Fettweis, G. (2010). Cellular mobile network densification utilizing micro base stations. In: 2010 IEEE International Conference on Communications (pp. 1-6). IEEE.
Crossref
 
Saih, A., Audah, L., Shah, N. S. M., & Hamzah, S. A. (2020). Mitigating pilot contamination for channel estimation in multi-cell massive MIMO systems. Wireless Personal Communications, Pp. 1-16.
 
Sangar, M., Khare, S. M., & Kushwah, V. S. (2016). Interference reduction techniques for heterogeneous network in 4G LTE. A System, 5(5), 99-104.
 
Shen, J. C., Zhang, J., & Letaief, K. B. (2015). Downlink user capacity of massive MIMO under pilot contamination. IEEE Transactions on Wireless Communications, 14(6), 3183-3193.
Crossref
 
Tavares, F. M., Berardinelli, G., Mahmood, N. H., Catania, D., Sørensen, T. B., & Mogensen, P. (2016). Interference-robust air interface for 5G ultra-dense small cells. Journal of Signal Processing Systems, 83(2), 265-278.
Crossref
 
Tavares, F. M., Berardinelli, G., Mahmood, N. H., Sørensen, T. B., & Mogensen, P. (2014). Inter-cell interference management using maximum rank planning in 5G small cell networks. In: 2014 11th International Symposium on Wireless Communications Systems (ISWCS) (pp. 628-632). IEEE.
Crossref
 
Zaidi, S. A. R., McLernon, D. C., Ghogho, M., & Imran, M. A. (2015). Cloud empowered cognitive inter-cell interference coordination for small cellular networks. In: 2015 IEEE International Conference on Communication Workshop (ICCW) (pp. 2218-2224). IEEE.
Crossref
 
Zhu, M., Chang, T. H., & Hong, M. (2020). Learning to beamform in heterogeneous massive MIMO networks. arXiv preprint arXiv:2011.03971.