Abstract
The recent cellular wireless networks must not only ensure the communication between users known as human to human (H2H) but also between a huge number of machines for machine-type communication (MTC) or machine to machine (M2M). M2M can be considered as devices that can establish communications with other devices without any human intervention. M2M is also seen as the base of the vision of connected objects. It tempts a lot of attention because it can be seen as a new opportunity for network operators and Internet of Things (IoT) service. Today, there are several types of MTC-based applications spanning multiple domains, such as health, transport, smart meters and surveillance. The deployment of this kind of application in mobile cellular networks, particularly Long-Term Evolution (LTE) and LTE-Advanced (LTE-A), cannot be effective without controlling the challenges posed by the deployment of a large number of MTC devices in the same cell. Indeed, the deployment of a myriad of MTC devices will cause the challenge of resource allocation for assuring the quality of service (QoS). As MTC devices are equipped with a non-rechargeable battery, power consumption is also among the main challenges facing M2M communications over Long-Term Evolution networks. In this article, we focused on the radio resource management in downlink LTE networks for M2M communication by a study of scheduling techniques that are: proportional fair (PF), exponential proportional fair (EXP)/PF), maximum-largest weighted delay first (MLWDF) and frame-level scheduler (FLS). We considered the video and VoIP services as real-time (RT) streams as well as best effort (BE) as non-real-time (NRT) streams, considering the QoS criteria in terms of throughput, fairness and energy, in order to conclude a distinct vision on the quality of experience provided by these algorithms. The results of analysis indicate that MLWDF scheduler is the best according to the energy and spectral efficiency than PF, EXP-PF and FLS techniques, while FLS is better in terms of quality of service (QoS) metrics for RT services.
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
Wang K, Alonso-Zarate J, Dohler M (2013) Energy-efficiency of LTE for small data machine-to-machine communications. In: IEEE international conference on communications (ICC), pp 4120–4124
Ouaissa M, Benmoussa M, Rhattoy A, Lahmer M, Chana I (2016) Impact of M2M traffic in random access channel over LTE networks. In: Advances in electronics, communication and computing, ETAEERE, pp 11–19
Ouaissa M, Rhattoy A, Lahmer M (2018) New method to control congestion for machine to machine applications in long term evolution system. Int J Commun Antenna Propag (I.Re.C.A.P.) 8(4)
Biral A, Centenaro M, Zanellan A, Vangelista L, Zorzi M (2015) The challenges of M2M massive access in wireless cellular networks. Digit Commun Netw
Salman MI, Ng CK, Noordin NK, Ali BM, Sali A (2012) Energy efficient transmission for LTE cellular system. In: International conference on computer and communication engineering (ICCCE), pp 222–227
Ouaissa M, Rhattoy A, Lahmer M (2016) Analysis of authentication and key agreement (AKA) protocols in long-term evolution (LTE) access network. Advances in Electronics, Communication and Computing, ETAEERE, pp 1–9
Ouaissa M, Rhattoy A (2018) A new scheme of group-based AKA for machine type communication over LTE networks. Int J Electric Comput Eng (IJECE) 8(2):1169–1181
Zheng K, Hu F, Xiangy W, Dohler M, Wang W (2012) Radio resource allocation in LTE-A cellular networks with M2M communications. IEEE Commun Mag
Ouaissa M, Benmoussa M, Rhattoy A, Lahmer M, Chana I (2016) Performance analysis of random access mechanisms for machine type communications in LTE networks. In: International conference on advanced communication systems and information security 2016 (ACOSIS'16)
Ouaissa M, Rhattoy A, Lahmer M (2017) Group access authentication of machine to machine communications in LTE networks. In: The second international conference on Internet of Things, data and cloud computing (ICC 2017)
Ouaissa M, Rhattoy A, Chana I (2018) New security level of authentication and key agreement protocol for the IoT on LTE mobile networks. In: 6th international conference on wireless networks and mobile communications (WINCOM), IEEE, pp 1–6
Videv S, Thompson JS, Haas H, Grant PM (2012) Resource allocation for energy efficient cellular systems. EURASIP J Wirel Commun Netw 2012(1):1–15
Bouguen Y, Hardouin E, Wolff FX (2012) LTE et les réseaux 4G
3GPP TS 36.300. V15.2.0 (2018) Evolved universal terrestrial radio access (E-UTRA) and evolved universal terrestrial radio access network (E-UTRAN); overall description; Stage 2 (Release 15)
de Andrade TP, Astudillo CA, da Fonseca NL (2016) Allocation of control resources for machine-to-machine and human-to-human communications over LTE/LTE-a networks. IEEE Internet Things J 3(3):366–377
3GPP TS 36.211. V8.0.0 (2018) Evolved universal terrestrial radio access (E-UTRA); physical channels and modulation
Fritze G (2012) SAE: the core network for LTE. Ericsson, Technical white paper
Coupechoux M, Martins P (2013) Vers les systèmes radio mobiles de 4e génération - de l'UMTS au LTE
3GPP TS 36.321. V15.2.0 (2018) Evolved universal terrestrial radio access (E-UTRA); medium access control (MAC) protocol specification (Release 15)
Fouziya SS, Nakkeeran R (2014) Study of downlink scheduling algorithms in LTE networks. J Netw 9(12)
Ouaissa M, Rhattoy A, Lahmer M (2018) Comparative performance study of QoS downlink scheduling algorithms in LTE system for M2M communications. In: International conference Europe Middle East & North Africa information systems and technologies to support learning. Springer, Cham, pp 216–224
Piro G, Grieco LA, Boggia G, Capozzi F, Camarda P (2010) Simulating LTE cellular systems: an open source framework. IEEE Trans Veh Technol 6(2):498–513
Ouaissa M, Rhattoy A (2018) New method based on priority of heterogeneous traffic for scheduling techniques in M2M communications over LTE networks. Int J Intell Eng Syst 11(6)
Mahmud SA, Khan F, Ali M, Khan GM, Yousaf FZ (2014) Fairness evaluation of scheduling algorithms for dense M2M implementations. In: Proceedings of IEEE WCNC 2014—workshop on IoT communications and technologies
ETSI TR 103 117 (2012) Environmental engineering (EE); principles for mobile network level energy efficiency, V1.1.1
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Ouaissa, M., Ouaissa, M., Rhattoy, A. (2020). Energy Efficiency and QoS Evaluation of Radio Resource Management Techniques for M2M Communications in LTE-Based Cellular Systems. In: Bhoi, A., Sherpa, K., Kalam, A., Chae, GS. (eds) Advances in Greener Energy Technologies. Green Energy and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-15-4246-6_11
Download citation
DOI: https://doi.org/10.1007/978-981-15-4246-6_11
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-4245-9
Online ISBN: 978-981-15-4246-6
eBook Packages: EnergyEnergy (R0)