Khazali, A., Sobhi-Givi, S., Kalbkhani, H., & Shayesteh, M. G. (2020). Energy-spectral efficient resource allocation and power control in heterogeneous networks with D2D communication. Wireless Networks,26, 253–267. https://doi.org/10.1007/s11276-018-1811-3 Article Google Scholar
3GPP TS 36.300 v12.10.0 (2016-06). (2016). 3rd Generation Partnership Project; Technical Specification Group Radio Access Network; Evolved Universal Terrestrial Radio Access (E-UTRA) and Evolved Universal Terrestrial Radio Access Network (E-UTRAN); Overall description; Stage 2 (Release 12).
Xenakis, D., Passas, N., Merakos, L., & Verikoukis, C. (2014). Mobility management for femtocells in LTE-advanced: Key aspects and survey of handover decision algorithms. IEEE Communications Surveys & Tutorials,16(1), 64–91. Article Google Scholar
Teng, Y., Liu, M., & Song, M. (2017). Effect of outdated CSI on handover decisions in dense networks. IEEE Communications Letters,21(10), 2238–2241. Article Google Scholar
Zarai, F., Ali, K. B., Obaidat, M. S., & Kamoun, L. (2014). Adaptive call admission control in 3GPP LTE networks. International Journal of Communication Systems,27, 1522–1534. Article Google Scholar
Iacoboaiea, O.-C., Sayrac, B., Jemaa, S. B., & Bianchi, P. (2016). On mobility parameter configurations that can lead to chained handovers. IEEE Transactions on Communications,64(12), 5136–5148. Article Google Scholar
Zhang, H., Jiang, C., Cheng, J., & Leung, V. C. M. (2015). Cooperative interference mitigation and handover management for heterogeneous cloud small cell networks. IEEE Wireless Communications,22(3), 92–99. Article Google Scholar
Jo, S., Jong, C., Pak, C., & Ri, H. (2021). Multi-agent deep reinforcement learning-based energy efficient power allocation in downlink MIMO-NOMA systems. IET Communications,2021, 1–13. Google Scholar
5G Evolution and 6G, White Paper, NTT DOCOMO, Inc. All Rights Reserved, 2020, 1–17.
Matt Olson, P. E. (2019). Understanding 5G impacts on utilities and preparing for success, white paper/5G cellular technology, Burns & Mcdonnell.
Kanwal, K., Safdar, G., & Ur Rehman, M. (2017). Energy efficiency led reduced CO2 emission in green LTE networks. EAI Endorsed Transactions on Energy Web and Information Technologies,4, 1–8. Google Scholar
Arshad, R., Elsawy, H., Sorour, S., Al-Naffouri, T. Y., & Alouini, M. S. (2016). Handover management in 5G and beyond: A topology aware skipping approach. IEEE Access,4, 9073–9081. Article Google Scholar
Munoz, P., Barco, R., & Fortes, S. (2014). Conflict resolution between load balancing and handover optimization in LTE networks. IEEE Communications Letters,18(10), 1795–1798. Article Google Scholar
Fang, B., & Zhou, W. (2015). Handover reduction via joint bandwidth allocation and CAC in randomly distributed HCNs. IEEE Communications Letters,19(7), 1209–1212. Article Google Scholar
Muñoz, P., Barco, R., & de la Bandera, I. (2015). Load balancing and handover joint optimization in LTE networks using fuzzy logic and reinforcement learning. Computer Networks,76, 112–125. Article Google Scholar
Omitola, O. O., & Srivastava, V. M. (2016). A robust speed-based handover algorithm for dense femtocell/macrocell LTE-a network and beyond. Journal of Telecommunication, Electronic and Computer Engineering,8, 121–129. Google Scholar
Abuhasnaha, J. F., & Muradova, F. K. (2017). Direction prediction assisted handover using the multilayer perception neural network to reduce the handover time delays in LTE networks. Procedia Computer Science,120, 719–727. Article Google Scholar
Abdullaha, R. M., Abualkishikc, A. Z., & Alwand, A. A. (2018). Improved handover decision algorithm using multiple criteria. Procedia Computer Science,141, 32–39. Article Google Scholar
Raghavi, S., Senthil Kumar, T., Bhagyaveni, M. A. (2016). Dwell time and predicted mobility based handover for LTE networks IEEE WiSPNET 2016 conference.
Kanwal, K., & Safdar, G. A. (2015). Reduced early handover for energy saving in LTE networks. IEEE Communications Letters,20(1), 153–156. Article Google Scholar
Saraswathi Priyadharshini, A., & Bhuvaneswari, P. T. V. (2018). Regression model for handover control parameter configuration in LTE-A networks. Computers and Electrical Engineering,72, 877–893. Article Google Scholar
Alhammadi, A., Roslee, M., Alias, M. Y., Shayea, I., Alraih, S. (2018). Dynamic handover control parameters for LTE-A/5G mobile communications, In 2018 Advances in Wireless and Optical Communications.
Angri, I., Mahfoudi, M., & Najid, A. (2019). Available bandwidth and RSRP based handover algorithm for LTE/LTE-advanced networks tested in LTE-SIM simulator. International Journal of Electronics and Telecommunications,65(1), 85–93. https://doi.org/10.24425/ijet.2019.126287 Article Google Scholar
Tayyab, M., Koudouridis, G. P., Gelabert, X., & Jäntti, R. (2020). Uplink reference signals for energy-efficient handover. IEEE Access Journal,8, 163060–163079. Article Google Scholar
Tayyab, M., Koudouridis, G. P., Gelabert, X. & Jäntti, R. (2020). Uplink reference signal based handover with mobile relay node assisted user clustering. In IEEE global communications conference (GLOBECOM), Taipei, Taiwan.
Tayyab, M., Koudouridis, G. P., Gelabert, X., & Jäntti, R. (2021). Uplink reference signals for power efficient handover in cellular networks with mobile relays. IEEE Access Journal,9, 24446–24461. Article Google Scholar
Sakr, H. A., Mohamed, M. A. (2018). Handover management optimization over LTE—A Network using S1 and X2 handover, in Proceedings of the seventh international conference on advances in computing, electronics and communication - ACEC 2018, https://doi.org/10.15224/978-1-63248-157-3-11.
Omitola, O. O., & Srivastava, V. M. (2020). An improved handover algorithm for LTE-A femtocell network. Journal of Communications,15(7), 558–565. Article Google Scholar
Omitola, O. O., & Srivastava, V. M. (2019). Channel borrowing admission control scheme in LTE/LTE-A femtocell-macrocell networks. Journal of Communications,14(10), 900–907. Article Google Scholar
3GPP TS 36.213 v14.12.0, “Evolved Universal Terrestrial Radio Access (E-UTRA); Physical layer procedures”, release 14, Mar 2019.
3GPP TS 36.211 v15.7.0, “Physical channels and modulation (Release 15),” Mar 2019.
Mushtaq, M. S., Fowler, S., Mellouk, A. (2017). Power saving model for mobile device and virtual base station in the 5G Era. In IEEE international conference on communications (ICC), pp. 1–6.
Lauridsen, M., et al. (2014). An empirical LTE smartphone power model with a view to energy efficiency evolution. Inter Technology Journal,18, 172–193. Google Scholar
Holtkamp, H., et al. (2013). A Parameterized Base Station Power Model. IEEE Communications Letters,17(11), 2033–2035. Article Google Scholar
3GPP R1-091791. (2009). Handover performance in a Manhattan scenario. Huawei, May 2009.
Sesia, S., Toufik, I., & Baker, M. (2011). LTE-the UMTS long term evolution: From theory to practice (2nd ed.). New Jersey: Wiley. Book Google Scholar
Ouamri, M. A., Oteşteanu, M.-E., Isar, A., & Azni, M. (2020). Coverage, handoff and cost optimization for 5G heterogeneous network. Physical Communication,39, 101037. Article Google Scholar
Bose, N. K., et al. (1996). Neural network fundamentals with graphs, algorithms, and applications. McGraw-Hill Inc. Google Scholar
Piro, G., Grieco, L. A., Boggia, G., Capozzi, F., & Camarda, P. (2011). Simulating LTE cellular systems: an open source framework. IEEE transactions on vehicular technology,60(2), 498–513. Article Google Scholar
Kushner, H. J., & Whiting, P. A. (2004). Convergence of proportional-fair sharing algorithms under general conditions. IEEE Transactions on Wireless Communications,3(4), 1250–1259. Article Google Scholar