Tlake, LCMarkus, EDAbu-Mahfouz, Adnan MI2021-11-192021-11-192021-09Tlake, L., Markus, E. & Abu-Mahfouz, A.M. 2021. A review of interference challenges on integrated 5GNR and NB-IoT networks. http://hdl.handle.net/10204/12165 .978-1-6654-1984-0978-1-6654-1983-32153-00332153-0025DOI: 10.1109/AFRICON51333.2021.9570861http://hdl.handle.net/10204/12165Technology is expanding at a higher rate and because of this expansion there is a global transition from 4 th Generation (4G) to 5 th Generation (5G) due to the steep rise in the demand of users and challenges which are not addressed effectively by the 4G. The 3GPP standards which in full is 3 rd Generation Partnership Project have given 5G the name New Radio (NR) in which it reuses the spectrum allocated for both (NB-IoT) Narrowband Internet of Things and 4G. There are different elements which contribute to an interference named Narrowband Interference (NBI) which is caused by spectrum reuse of NR, NB-IoT and (LTE) Long Term Evolution, thus leads to mismatch of sampling rate and performance degradation. This paper presents a survey of these interference challenges. The main contribution of this paper is to comprehensively analyse different classifications to possibly assist the form of coexistence of 5GNR NB-IoT and LTE. Different approaches were analysed, their strength and limitations in various literatures, however the interference mitigation scheme is still an open gap determined.Abstracten5GNRBlock Sparse Bayesian LearningBSBLInterference SteeringISNarrowband InterferenceNBINB-IoTPrediction error filterPEFSparse Bayesian LearningSBLSparse cross-entropy minimizationSCEMConference PresentationTlake, L., Markus, E., & Abu-Mahfouz, A. M. (2021). A review of interference challenges on integrated 5GNR and NB-IoT networks. http://hdl.handle.net/10204/12165Tlake, LC, ED Markus, and Adnan M Abu-Mahfouz. "A review of interference challenges on integrated 5GNR and NB-IoT networks." <i>2021 IEEE AFRICON, Arusha, Tanzania, United Republic of, 13-15 September 2021</i> (2021): http://hdl.handle.net/10204/12165Tlake L, Markus E, Abu-Mahfouz AM, A review of interference challenges on integrated 5GNR and NB-IoT networks; 2021. http://hdl.handle.net/10204/12165 .TY - Conference Presentation AU - Tlake, LC AU - Markus, ED AU - Abu-Mahfouz, Adnan M AB - Technology is expanding at a higher rate and because of this expansion there is a global transition from 4 th Generation (4G) to 5 th Generation (5G) due to the steep rise in the demand of users and challenges which are not addressed effectively by the 4G. The 3GPP standards which in full is 3 rd Generation Partnership Project have given 5G the name New Radio (NR) in which it reuses the spectrum allocated for both (NB-IoT) Narrowband Internet of Things and 4G. There are different elements which contribute to an interference named Narrowband Interference (NBI) which is caused by spectrum reuse of NR, NB-IoT and (LTE) Long Term Evolution, thus leads to mismatch of sampling rate and performance degradation. This paper presents a survey of these interference challenges. The main contribution of this paper is to comprehensively analyse different classifications to possibly assist the form of coexistence of 5GNR NB-IoT and LTE. Different approaches were analysed, their strength and limitations in various literatures, however the interference mitigation scheme is still an open gap determined. DA - 2021-09 DB - ResearchSpace DP - CSIR J1 - 2021 IEEE AFRICON, Arusha, Tanzania, United Republic of, 13-15 September 2021 KW - 5GNR KW - Block Sparse Bayesian Learning KW - BSBL KW - Interference Steering KW - IS KW - Narrowband Interference KW - NBI KW - NB-IoT KW - Prediction error filter KW - PEF KW - Sparse Bayesian Learning KW - SBL KW - Sparse cross-entropy minimization KW - SCEM LK - https://researchspace.csir.co.za PY - 2021 SM - 978-1-6654-1984-0 SM - 978-1-6654-1983-3 SM - 2153-0033 SM - 2153-0025 T1 - A review of interference challenges on integrated 5GNR and NB-IoT networks TI - A review of interference challenges on integrated 5GNR and NB-IoT networks UR - http://hdl.handle.net/10204/12165 ER -25103