Abstract
Supporting the traffic emanating from the internet of things (IoT) is a major challenge for 5G systems. A significant portion of this traffic will be generated indoors. Therefore, in this chapter, femtocell networks designed for supporting IoT traffic are studied. A deployment scenario of femtocell networks with centralized control is investigated. It consists of an integrated wired/wireless system, where the femtocell access points (FAPs) are controlled by a single entity. This permits performing joint radio resource management in a centralized and controlled way in order to enhance the quality of service performance for all users in the network. It also allows an energy efficient operation of the network by switching off redundant femtocells whenever possible. Two algorithms are proposed and analyzed. The first one is a utility maximizing radio resource management algorithm, whereas the second one is a FAP switch off algorithm, implemented at the central controller. The joint wired/wireless resource management approach is compared to the distributed resource management case, where each femtocell acts as an independent wireless network unaware of the channel and interference conditions with the other cells. The proposed algorithm was shown to lead to significant gains. Furthermore, considerable energy savings were obtained with the green algorithm.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Chen, Y.-K.: Challenges and opportunities of internet of things. In: Proceedings of the Asia and South Pacific Design Automation Conference (ASP-DAC), Sydney, Australia, pp. 383–388, January–February 2012
Yaacoub, E., Abu-Dayya, A.: Automatic meter reading in the smart grid using contention based random access over the free cellular spectrum. Comput. Netw. (Elsevier) 59, 171–183 (2014). February
Yaacoub, E., Kadri, A.: LTE radio resource management for real-time smart meter reading in the smart grid. In: IEEE ICC 2015—Workshop on Green Communications and Networks with Energy Harvesting, Smart Grids, and Renewable Energies, London, UK, June 2015
Lloret, J., Canovas, A., Sendra, S., Parra, L.: A smart communication architecture for ambient assisted living. IEEE Commun. Mag. 53(1), 26–33 (2015). January
Mainetti, L., Patrono, L., Vilei, A.: Evolution of wireless sensor networks towards the internet of things: a survey. In: Proceedings of the International Conference on Software, Telecommunications and Computer Networks (SoftCOM), Split, Croatia, pp. 1–6, September 2011
Bisio, I., Lavagetto, F., Marchese, M., Sciarrone, A.: Smartphone-centric ambient assisted living platform for patients suffering from co-morbidities monitoring. IEEE Commun. Mag. 53(1), 34–41 (2015). January
Chandrasekkhar, V., Andrews, J.G., Gatherer, A.: Femtocell networks: a survey. IEEE Commun. Mag. 46(9), 59–67 (2008)
Knisely, D., Yoshizawa, T., Favichia, F.: Standardization of femtocells in 3GPP. IEEE Commun. Mag. 47(9), 68–75 (2009)
Andrews, J.G., Claussen, H., Dohler, M., Rangan, S., Reed, M.C.: Femtocells: past, present, and future. IEEE J. Sel. Areas Commun. 30(3), 497–508 (2012)
Chandrasekhar, V., Kountouris, M., Andrews, J.G.: Coverage in multi-antenna two-tier networks. IEEE Trans. Wirel. Commun. 8(10), 5314–5327 (2009)
Pantisano, F., Bennis, M., Saad, W., Debbah, M.: Spectrum leasing as an incentive towards uplink macrocell and femtocell cooperation. IEEE J. Sel. Areas Commun. 30(3), 617–630 (2012)
Gussen, C., Belmega, V., Debbah, M.: Pricing and bandwidth allocation problems in wireless multi-tier networks. In: Proceedings of Asilomar Conference on Signals Systems and Computers, pp. 1633–1637 (2011)
Lien, S.-Y., Tseng, C.-C., Chen, K.-C., Su, C.-W.: Cognitive radio resource management for QoS guarantees in autonomous femtocell networks. In: Proceedings of the IEEE International Conference on Communications, (ICC 2010), pp. 1–6 (2010)
Hong, S., Oh, C.-Y., Lee, T.-J.: Resource allocation method using channel sensing and resource reuse for cognitive femtocells. Int. J. Inf. Electron. Eng. 3(3), 309–312 (2013)
Abdelmonem, M.A., Nafie, M., Ismail, M.H., El-Soudani, M.S.: Optimized spectrum sensing algorithms for cognitive LTE femtocells. EURASIP J. Wirel. Commun. Netw. 2012(6), 19 (2012). (Open Access)
3rd Generation Partnership Project (3GPP), 3GPP TS 36.211 3GPP TSG RAN Evolved Universal Terrestrial Radio Access (E-UTRA) Physical Channels and Modulation, version 12.2.0, Release 12 (2014)
3rd Generation Partnership Project (3GPP), 3GPP TS 36.213 3GPP TSG RAN Evolved Universal Terrestrial Radio Access (E-UTRA) Physical layer procedures, version 12.2.0, Release 12 (2014)
Qualcomm Inc.: 3GPP TSG-RAN WG1 #72 R1–130598, Agenda item: 7.3.7, Channel Models for D2D Deployments, St. Julian’s, Malta (2013)
Qiu, X., Chawla, K.: On the performance of adaptive modulation in cellular systems. IEEE Trans. Commun. 47(6), 884–895 (1999)
Le Boudec, J.-Y.: Rate adaptation, congestion control and fairness: a tutorial. Technical report, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland (2008)
Song, G., Li, Y.: Cross-layer optimization for ofdm wireless networks-part I: theoretical framework. Ieee Trans. Wirel. Commun. 4(2), 614–624 (2005)
Yaacoub, E., Dawy, Z.: Resource Allocation in Uplink OFDMA Wireless Systems: Optimal Solutions and Practical Implementations. Wiley/IEEE Press, New York (2012). ISBN: 978-1-1180-7450-3
Yaacoub, E.: Radio resource management in integrated wired/wireless LTE femtocell networks. In: Proceedings of the 12th International Conference on Wired and Wireless Internet Communications, Paris, France, May 2014
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Yaacoub, E. (2016). Green 5G Femtocells for Supporting Indoor Generated IoT Traffic. In: Mavromoustakis, C., Mastorakis, G., Batalla, J. (eds) Internet of Things (IoT) in 5G Mobile Technologies. Modeling and Optimization in Science and Technologies, vol 8. Springer, Cham. https://doi.org/10.1007/978-3-319-30913-2_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-30913-2_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-30911-8
Online ISBN: 978-3-319-30913-2
eBook Packages: EngineeringEngineering (R0)