Abstract
Utilization of femto-cells is one of the cost effective solution to increase the internal network connectivity and coverage. However, there are various impediment in achieving so which has caused a consistent research work evolving out with solution. Review of existing literature shows that maximum focus was given for energy problems in cellular network and not much on problems that roots out from interference. Therefore, the proposed system has presented a very simple and novel approach where the problems associated with interference and energy in using large groups of femto-cells are addressed. Adopting analytical research methodology, the proposed model offers on-demand utilization of the selective femto-cells on the basis of the traffic demands. The study outcome shows that proposed system offers better performance in contrast to existing approach.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
de Alencar, M.S., de Melo Carvalho Filho, D.: Cellular Network Planning. River Publishers, Technology & Engineering, p. 200 (2016)
Mishra, A.R.: Fundamentals of Cellular Network Planning and Optimisation: 2G/2.5G/3G… Evolution to 4G, p. 304. Wiley, Chichester (2004)
Yang, L., Zhang, W.: Interference Coordination for 5G Cellular Networks, p. 66. Springer, Berlin (2015)
Saunders, S.R., Carlaw, S., Giustina, A., Bhat, R.R., Rao, V.S., Siegberg, R.: Femtocells: Opportunities and Challenges for Business and Technology, p. 252. Willey, Chichester (2009)
Zhang, J., de la Roche, G.: Femtocells: Technologies and Deployment, p. 328. Willey, Chichester (2011)
Mahmud, S.A., Khan, G.M., Zafar, H., Ahmad, K., Behttani, N.: A survey on femtocells: benefits deployment models and proposed solutions. J. Appl. Res. Technol. 11(5), 733–754 (2013)
Chandrasekhar, V., Andrews, J., Gatherer, A.: Femtocell networks: a survey. arXiv preprint arXiv:0803.0952 (2008)
Gódor, G., Jakó, Z., Knapp, Á., Imre, S.: A survey of handover management in LTE-based multi-tier femtocell networks: requirements, challenges and solutions. Comput. Netw. 76, 17–41 (2015)
Suleiman, K.E., Taha, A.-E.M., Hassanein, H.S.: Handover-related self-optimization in femtocells: a survey and an interaction study. Comput. Commun. 73, 82–98 (2016)
Sowmya Naik, P.T., Narasimha Murthy, K.N.: Appraising the research trend of energy utilization problem in cellular network. Commun. Appl. Electron. (CAE) 3(8), 28–36 (2015)
Brahmi, I., Mhiri, F., Zarai, F.: Power control method based on users and applications QoS priorities (UAQP) in femtocell network. In: 2018 IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA), pp. 1–5. IEEE (2018)
Huang, X., Tang, S., Zheng, Q., Zhang, D., Chen, Q.: Dynamic femtocell gNB on/off strategies and seamless dual connectivity in 5G heterogeneous cellular networks. IEEE Access 6, 21359–21368 (2018)
Thakur, R., Mishra, S., Murthy, C.S.R.: An energy and cost aware framework for cell selection and energy cooperation in rural and remote femtocell networks. IEEE Trans. Green Commun. Netw. 1(4), 423–433 (2017)
Thakur, R., Swain, S.N., Murthy, C.S.R.: An energy efficient cell selection framework for femtocell networks with limited backhaul link capacity. IEEE Syst. J. 12(2), 1969–1980 (2018)
Zuo, X., Nie, H.: A spectrum sensing scheme with dynamic sensing period adjustment for femtocells in LTE systems. In: 2017 IEEE International Conference on Electro Information Technology (EIT), pp. 240–244. IEEE (2017)
Zhang, W., Zhang, G., Zheng, Y., Xie, L., Yeo, C.K.: Energy efficiency consideration for indoor femtocell networks in TV white spaces. IEEE Access 6, 1565–1576 (2018)
Zhang, J., Labiod, H., Hammami, S.E., Afifi, H.: Scalable energy efficient routing in multi-layer femtocell networks. In: 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC), pp. 1540–1545. IEEE (2017)
Wang, L.-C., Cheng, S.-H., Tsai, A.-H.: Data-driven power control of ultra-dense femtocells: a clustering based approach. In: 2017 26th Wireless and Optical Communication Conference (WOCC), pp. 1–6. IEEE (2017)
Sheikh, A.U.H., Khalifa, M.A., Zerguine, A.: Impact of fading on per-energy capacity in femto-macro environment. In: 2017 International Symposium on Wireless Systems and Networks (ISWSN), Lahore, pp. 1–5 (2017)
Bouras, C., Diles, G.: Energy efficiency in sleep mode for 5G femtocells. In: 2017 Wireless Days, pp. 143–145. IEEE (2017)
Tayade, S.N., Gulhane, V.A.: Designing of macro-femto heterogeneous network for improving energy efficiency of cellular system. In: 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), pp. 695–698. IEEE (2016)
Mili, M.R., Hamdi, K.A., Marvasti, F., Bennis, M.: Joint optimization for optimal power allocation in OFDMA femtocell networks. IEEE Commun. Lett. 20(1), 133–136 (2016)
Rao, J.B., Fapojuwo, A.O.: An analytical framework for evaluating spectrum/energy efficiency of heterogeneous cellular networks. IEEE Trans. Veh. Technol. 65(5), 3568–3584 (2016)
Mao, T., Feng, G., Liang, L., Qin, S., Bin, W.: Distributed energy-efficient power control for macro–femto networks. IEEE Trans. Veh. Technol. 65(2), 718–731 (2016)
Kim, J., Jeon, W.S., Jeong, D.G.: Base-station sleep management in open-access femtocell networks. IEEE Trans. Veh. Technol. 65(5), 3786–3791 (2016)
Gao, Z., Wen, B., Huang, L., Chen, C., Ziwen, S.: Q-learning-based power control for LTE enterprise femtocell networks. IEEE Syst. J. 11(4), 2699–2707 (2017)
Kim, J., Jeon, W.S., Jeong, D.G.: Effect of base station-sleeping ratio on energy efficiency in densely deployed femtocell networks. IEEE Commun. Lett. 19(4), 641–644 (2015)
Lin, M., Silvestri, S., Bartolini, N., La Porta, T.: Energy-efficient selective activation in femtocell networks. In: 2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems, pp. 361–369. IEEE (2015)
Zinali, M., Mili, M.R., Khalili, M.: Increasing energy efficiency through maximizing channel capacity with a minimum power allocation in the Femtocell network. In: 2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI), pp. 1106–1112. IEEE (2015)
Al Haddad, M., Bayoumi, M.: Green energy solution for femtocell power control in massive deployments. In: 5th International Conference on Energy Aware Computing Systems & Applications, pp. 1–4. IEEE (2015)
Sowmya Naik, P.T., Narasimha Murthy, K.N.: Joint algorithm for traffic normalization and energy-efficiency in cellular network. In: Software Engineering Perspectives and Application in Intelligent Systems, pp. 47–57. Springer, Cham (2016)
Wang, Y., Dai, X., Wang, J.M., Bensaou, B.: Energy efficient medium access with interference mitigation in LTE femtocell networks. arXiv preprint arXiv:1508.01454 (2015)
Wang, Y., Dai, X., Wang, J.M., Bensaou, B.: Iterative greedy algorithms for energy efficient LTE small cell networks. In: 2016 IEEE Wireless Communications and Networking Conference, pp. 1–6. IEEE (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Sowmya Naik, P.T., Narasimha Murthy, K.N. (2019). Framework for Controlling Interference and Power Consumption on Femto-Cells In-Wireless System. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Intelligent Systems Applications in Software Engineering. CoMeSySo 2019 2019. Advances in Intelligent Systems and Computing, vol 1046. Springer, Cham. https://doi.org/10.1007/978-3-030-30329-7_19
Download citation
DOI: https://doi.org/10.1007/978-3-030-30329-7_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-30328-0
Online ISBN: 978-3-030-30329-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)