Analytical modelling and performance evaluation of realistic time-controlled M2M scheduling over LTE cellular networks

Transactions on emerging telecommunications technologies

Volumn 24, Issue 4, 2013, Pages 378-388

  Gotsis, Antonis G ^a   Lioumpas, Athanasios S ^a   Alexiou, Angeliki ^a  

^a UNIVERSITY OF PIRAEUS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL MODELS; MEDIUM ACCESS CONTROL; MODELS; NETWORK ARCHITECTURE; QUALITY OF SERVICE; QUEUEING THEORY; STANDARDS;

ANALYTICAL APPROACH; BACKWARD COMPATIBILITY; EXISTING ARCHITECTURES; LONG-TERM EVOLUTION; MACHINE-TO-MACHINE COMMUNICATIONS; REALISTIC SCENARIO; SYSTEM LEVEL SIMULATION; TRAFFIC CHARACTERISTICS;

WIRELESS TELECOMMUNICATION SYSTEMS;

EID: 84890529255     PISSN: 1124318X     EISSN: 15418251     Source Type: Journal    
DOI: 10.1002/ett.2629     Document Type: Article

References (30)

1. Machine-to-machine (M2M)-The rise of the machines. Juniper Networks White Paper, 2011.
2. Yankee Group. Mobile broadband connected future: from billions of people to billions of things. Commissioned by 4G Americas White Paper, 2011.
3. GPP TS 22.368. Service requirements for machinetype communications (MTC), September 2011. v.11.3.0 (release 11).
4. GPP TR 23.888. System improvements for machinetype communications, November 2011. v.1.6.0 (release 11).
5. GPP TR 37.868. Study on RAN improvements for machine-type communications, September 2011. v.11.0.0 (release 11).
6. DRAFT amendment to IEEE standard for wireless MAN-advanced air interface for broadband wireless access systems: enhancements to support machineto- machine applications (P802.16p-11/0033), October 2011.
7. EXALTED Deliverable 2-1. Description of baseline reference systems, scenarios, technical requirements & evaluation methodology, 2011. http://www.ictexalted. eu [Accessed on June 2012].
8. Pedersen K, Kolding T, Frederiksen F, Kovacs I, Laselva D, Mogensen P. An overview of downlink radio resource management for UTRAN long-term evolution. IEEE Communications Magazine 2009; 47(7): 86-93.
9. GPP TS 23.203. Policy and charging control architecture, March 2012. v.10.6.0 (release 10).
10. Lien SY, Chen KC. Massive access management for QoS guarantees in 3GPP machine-to-machine communications. IEEE Communications Letters 2011; 15(3): 311-313.
11. Lien SY, Chen KC, Lin Y. Toward ubiquitous massive accesses in 3GPP machine-to-machine communications. IEEE Communications Magazine 2011; 49(4): 66-74.
12. LOLA Deliverable 3-5. Traffic models for M2M and online gaming network traffic, January 2012. http://www.ict-lola.eu [Accessed on June 2012].
13. Kela P, Puttonen J, Kolehmainen N, Ristaniemi T, Henttonen T, Moisio M. Dynamic packet scheduling performance in UTRA long term evolution downlink. In Proceedings of the 3rd International Symposium on Wireless Pervasive Computing (ISWPC'08), Santorini, Greece, 2008; 308-313.
14. Monghal G, Pedersen K, Kovacs I, Mogensen P. QoS oriented time and frequency domain packet schedulers for the UTRAN long term evolution. In Proceedings of the IEEE Vehicular Technology Conference, 2008. VTC Spring 2008, Singapore, 2008; 2532-2536.
15. Lioumpas A, Alexiou A. Uplink scheduling for machine-to-machine communications in LTE-based cellular systems. In GLOBECOMWorkshops (GCWkshps), 2011 IEEE, Houston, Texas, USA, 2011; 353-357.
16. Ho C, Huang C. Energy-saving massive access control and resource allocation schemes for M2M communications in OFDMA cellular networks. IEEE Wireless Communications Letters 2012; 1(3): 209-212.
17. Yaacoub E, El-Hajj AM, Dawy Z. Uplink OFDMA resource allocation with discrete rates: optimal solution and suboptimal implementation. Transactions on Emerging Telecommunications Technologies 2012; 23(2): 148-162. DOI: 10.1002/ett.1518.
18. Sokar MA, Elsayed KM. A dynamic radio resource management scheme for the IEEE 802.16 band-adaptive modulation and coding mode with proportional rate constraints. Transactions on Emerging Telecommunications Technologies 2012; 23(3): 254-267. DOI: 10.1002/ett.1529.
19. Agarwal M, Puri A. Base station scheduling of requests with fixed deadlines. In Proceedings of the Twenty-first Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE INFOCOM 2002), Vol. 2, New York, USA, 2002; 487-496.
20. Sadiq B, Baek SJ, de Veciana G. Delay-optimal opportunistic scheduling and approximations: the log rule. IEEE/ACM Transactions on Networking 2011; 19(2): 405-418.
21. GPP R1-120056. Analysis on traffic model and characteristics for MTC and text proposal. Technical Report, February 2012. http://www.3gpp.org [Accessed on June 2012].
22. IEEE 802.16p-11/0014. IEEE 802.16p machine to machine (M2M) evaluation methodology document (EMD), May 2011. http://www.wirelessman.org/m2m/index.html [Accessed on June 2012].
23. Iversen VB. Teletraffic engineering and network planning, Technical University of Denmark, 2011. http://oldwww.com.dtu.dk/education/34340 [Accessed on June 2012].
24. Tijms HC. Stochastic Modeling and Analysis: A Computational Approach. John Wiley & Sons: Hoboken, NJ, 1986.
25. Tijms HC. A First Course in Stochastic Models. John Wiley & Sons: Hoboken, NJ, 2003.
26. Corless RM, Gonnet GH, Hare DEG, Jeffrey DJ, Knuth DE. On the LambertW function. Springer Advances in Computational Mathematics 1996; 5: 329-359.
27. Shortle JF, Brill PH. Analytical distribution of waiting time in M=fiDg=1 queue. Springer Netherlands Queueing Systems 2005; 50: 185-197.
28. Shortle JF, Fischer MJ, Brill PH. Waiting-time distribution of M=DN=1 queues through numerical Laplace inversion. INFORMS Journal on Computing 2007; 19: 112-120.
29. Wu D, Negi R. Effective capacity: a wireless link model for support of quality of service. IEEE Transactions on Wireless Communications 2003; 2(4): 630-643.
30. Tang J, Zhang X. Cross-layer modeling for quality of service guarantees over wireless links. IEEE Transactions on Wireless Communications 2007; 6(12): 4504-4512.