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Erschienen in:
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2018 | OriginalPaper | Buchkapitel

Evaluation of Scheduling Algorithms for 5G Mobile Systems

verfasst von : Christian F. Müller, Guillermo Galaviz, Ángel G. Andrade, Irina Kaiser, Wolfgang Fengler

Erschienen in: Computer Science and Engineering—Theory and Applications

Verlag: Springer International Publishing

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Abstract

One of the key elements of the fifth generation (5G) of mobile communication systems is the support of a large number of users communicating through a wide range of devices and applications. These conditions give rise to heterogeneous traffic offered to the network. In order to carry such traffic in a wireless network, the design and development of schedulers capable of considering the conditions of each user is needed. In this chapter a Model Based Design (MBD) and Model Based Testing (MBT) approach are used to implement and evaluate different scheduling algorithms that consider the Quality of Service (QoS) requirements of each user as well as the individual channel conditions. The development process is achieved through a hardware platform consisting of an FPGA and a System on Chip in order to provide an emulation environment. The development process as well as the results obtained (in terms of throughput and fairness) through the evaluation of Maximum Rate (MR), Round Robin (RR), Proportional Fair (PF) and a proposed novel UE-based Maximum Rate (UEMR) scheduling algorithms are presented. Using MBD together with MBT the developed scheduling algorithms can be further enhanced and exported to real world applications.

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Literatur
1.
Agiwal M, Roy A, Saxena N (2016) Next generation 5g wireless networks: a comprehensive survey. IEEE Commun Surv Tutorials 18(3):1617–1655CrossRef
2.
Panwar N, Sharma S, Sing A (2016) A survey on 5G: the next generation of mobile communication. Phys Commun 18:64–84CrossRef
3.
Shafi M et al (2017) 5G: a tutorial overview of standards, trials, challenges, deployment, and practice. IEEE J Sel Areas Commun 35(6):1201–1221CrossRef
4.
5.
Haidine A, Hassani SE (2016) LTE-a pro (4.5G) as pre-phase for 5G deployment: closing the gap between technical requirements and network performance. Paper presented at International Conference on Advanced Communication Systems and Information Security (ACOSIS), Marrakesh, Morocco, 17–19 October 2016
6.
Rost P et al (2016) Mobile network architecture evolution toward 5G. IEEE Commun Mag 54(5):84–91CrossRef
7.
Akyildiz I, Nie S, Chun LS, Chandrasekaran M (2016) 5G roadmap: 10 key enabling technologies. Comput Netw 106:17–48CrossRef
8.
Schwarz S, Rupp M (2016) Society in motion: challenges for LTE and beyond mobile communications. IEEE Commun Mag 54(5):76–83CrossRef
9.
Suganya S, Maheshwari S, Latha YS, Ramesh C (2016) Resource scheduling algorithms for LTE using weights. Paper presented at the 2nd international conference on Applied and Theoretical Computing and Communication Technology (iCATccT), Bengalore, India, 21–23 July 2016
10.
Héliot F, Imran M, Tafazolli R (2013) Low-complexity energy-efficient resource allocation for the downlink of cellular systems. IEEE Trans Commun 61(6):2271–2281CrossRef
11.
Gavrilovska L, Talevski D (2011) Novel scheduling algorithms for LTE downlink transmission. Paper presented at the 19th Telecommunications Forum (TELFOR), Belgrade, Serbia, 22–24 November 2011
12.
Kwan R, Leung C, Zhang J (2009) Proportional fair multiuser scheduling in LTE. IEEE Signal Process Lett 16(6):461–464CrossRef
13.
Kaneko M, Popovski P, Dahl J (2006) Proportional fairness in multi-carrier system: upper bound and approximation algorithms. IEEE Commun Lett 10(6):462–464CrossRef
14.
Yang T, Héliot F, Heng C (2015) A survey of green scheduling schemes for homogeneous and heterogeneous cellular networks. IEEE Commun Mag 53(11):175–181CrossRef
15.
Dahlman E, Parkvall S, Sköld J (2011) 4G LTE/LTE-advanced for mobile broadband. Academic Press, Elsevier, Tokyo
16.
Sesia S, Toufik I, Matthew PJ (2011) The UMTS long term evolution: from theory to practice. Wiley, LondonCrossRef
17.
Mehaseb MA, Gadallah Y, Elhamy A, Elhennawy H (2016) Classification of LTE uplink scheduling techniques: an M2 M perspective. IEEE Comm Surv Tutorials 18(2):1310–1335CrossRef
18.
19.
Castañeda E, Silva A, Gameiro A, Kountouris M (2017) An overview on resource allocation techniques for multi-user MIMO systems. IEEE Comm Surv Tutorials 19(1):239–284CrossRef
20.
Clerckx B, Joudeh H, Hao C, Dai M, Rassouli B (2016) Rate splitting for MIMO wireless networks: a promising PHY-layer strategy for LTE evolution. IEEE Commun Mag 54(5):98–105CrossRef
21.
Jo M, Maksymyuk T, Batista R, Maciel TF, de Almeida A, Klymash M (2014) A survey of converging solutions for heterogeneous mobile networks. IEEE Wirel Commun 21(6):54–62CrossRef
22.
Hossain E, Rasti M, Tabassum H, Abdelnasser A (2014) Evolution towards 5G multi-tier cellular wireless networks: An interference management perspective. IEEE Wireless Commun 21(3):118–127CrossRef
23.
Gesbert D et al (2010) Multi-cell MIMO cooperative networks: a new look at interference. IEEE J Sel Areas Commun 28(9):1380–1408CrossRef
24.
Salman EH, Noordin NK, Hashim SJ, Hashim F, Ng CK (2017) An overview of spectrum techniques for cognitive LTE and LTE-A radio system. Telecommun Syst 65:215–228CrossRef
25.
Liu L et al (2012) Downlink MIMO in LTE-advanced: SU-MIMO vs. MU-MIMO. IEEE Commun Mag 50(2):140–147CrossRef
26.
27.
Bhamri A, Hooli K, Lunttila T (2016) Massive carrier aggregation in LTE-Advanced Pro: impact on uplink control information and corresponding enhancements. IEEE Commun Mag 54(5):92–97CrossRef
28.
Kong C, Peng IH (2017) Tradeoff design of radio resource scheduling for power and spectrum utilizations in LTE uplink systems. J Netw Comput Appl 78:116–124CrossRef
29.
Ohta Y, Nakamura M, Kawasaki Y, Ode T (2016) Controlling TCP ACK transmission for throughput improvement in LTE-Advanced Pro. Paper presented at the Conference on Standards for Communications and Networking (CSCN), Berlin, Germany, 31 October–2 November 2016
30.
Pedersen KI, Kolding TE, Frederiksen F, Kovács IZ, Laselva D, Mogensen PE (2009) An overview of downlink radio resource management for UTRAN long-term evolution. IEEE Commun Mag 47(7):86–93CrossRef
31.
Olwal T, Djouani K, Kurien AM (2016) A survey of resource management toward 5G radio access networks. IEEE Commun Surv Tutorials 18(3):1656–1686CrossRef
32.
33.
Ahmad A, Ahmad S, Rehmani M, Hassan N (2015) A survey on radio resource allocation in cognitive radio sensor networks. IEEE Commun Surv Tutorials 17(2):888–917CrossRef
34.
3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; Policy and charging control architecture (Release 12), Release 12, 2014
35.
Holma H, Toskala A (2010) Packet Scheduling In: Wigard J, Holma H, Cury R, Madsen N, Frederiksen F, Kristensson M (ed) WCDMA for UMTS: HSPA Evolution and LTE, Fifth edition, Wiley, Chichester, UK, pp 255–291
36.
Mishra A, Venkitasubramaniam P (2016) Anonymity and fairness in packet scheduling: a quantitative tradeoff. IEEE/ACM Trans Networking 24(2):688–702CrossRef
37.
Maia AM, Vieira D, Castro MF, Ghamri-Doudane Y (2016) A fair QoS-aware dynamic LTE scheduler for machine-to-machine communication. Comput Commun 89–90:75–86CrossRef
38.
Kumar S, Sarkar A, Sriram S, Sur A (2015) A three level LTE downlink scheduling framework for RT VBR traffic. Comput Netw 91:654–674CrossRef
39.
Blake S, Black D, Carlson M, Davies E, Wang Z, Weiss W (1988) An architecture for differentiated services. RFC 2475, ACM Digital Library
40.
Benchaabene Y, Boujnah N, Zarai F (2016) Performance comparison of packet scheduling algorithms for voice over IP in LTE cellular network. Paper presented at the 4th international conference on Control Engineering & Information Technology (CEIT), Hammamet, Tunisia, 16–18 December 2016
41.
Subramanian R, Sandrasegaran K, Kong X (2016) Performance comparison of packet scheduling algorithms in LTE-A HetNets. Paper presented at the 22nd Asia-Pacific conference on Communications (APCC), Yogyakarta, Indonesia, 25–27 August 2016
42.
Gong Y, Yan B, Lin S, Li Y, Guan L (2016) Priority-based LTE down-link packet scheduling for Smart Grid communication. Paper presented at the 2nd IEEE international conference on Computer and Communications (ICCC), Chengdu, China, 14–17 October 2016
43.
Sharifian A, Schoenen R, Yanikomeroglu H (2016) Joint realtime and nonrealtime flows packet scheduling and resource block allocation in wireless OFDMA networks. IEEE Trans Veh Technol 65(4):2589–2607CrossRef
44.
Zander-Nowicka J, Xiong X, Schieferdecker I (2008) Systematic test data generation for embedded software. Paper presented at the international conference on Software Engineering Research & Practice (SERP), Las Vegas, Nevada, USA, 14–17 July 2008
45.
Schäuffele J, Zurawka T (2010) Automotive software engineering. Springer, GermanyCrossRef
46.
Utting M, Legeard B (2007) Practical model-based testing: A tools approach. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA
47.
Russ M, Danzer B, Korotkiy D (2006) Virtueller Funktionstest für eingebettete Systeme: Frühzeitige Fehlererkennung reduziert kostenintensive Iterationszyklen
48.
Jondral FK, Schwall M, Nagel S (2011) Model-based waveform design for heterogeneous SDR Platforms with Simulink. Paper presented at the symposium & wireless summer school. Virginia Tech, Blacksburg, USA
49.
Haykin S (2005) Cognitive radio: brain-empowered wireless communications. IEEE J Sel Areas Commun 23(2):201–220CrossRef
50.
Farhan M, Naghmash MS, Abbas F (2014) Optimal design for software defined radio based FPGA. J Eng Dev 18(3):148–161
51.
Lyrtech Inc (2009) Small form factor SDR evaluation module/development platform. User’s guide, 2nd edn. Lyrtech Inc
52.
Fodor G, Racz A, Reider N, Temesvary A (2007) Chapter 4: architecture and protocol support for radio resource management (RRM). Long Term Evolution 3GPP LTE radio and cellular technology (Furht B, Ahson SA)
53.
Overview of 3GPP Release 13 V0.0.5 (2014) Overview of 3GPP Release 13 V0.0.5
54.
Cavalcanti F, Anderson S (2009) Optimizing wireless communication systems. Springer, USACrossRefMATH
55.
Jang J, Bok L (2003) Transmit power adaptation for multiuser OFDM systems. IEEE J Select Areas Commun 21(2):171–178CrossRef
56.
Holtzman JM (2000) CDMA forward link waterfilling power control. Paper presented at the 51st IEEE vehicular technology conference, Tokyo, Japan, 15–18 May 2000
57.
Viswanath P, Tse D, Laroia R (2002) Opportunistic beamforming using dumb antennas. IEEE Trans Inform Theory 48(6):1277–1294MathSciNetCrossRefMATH
58.
Jalali A, Padovani R, Pankaj R (2000) Data throughput of CDMA-HDR a high efficiency-high data rate personal communication wireless system. Paper presented at the 51st IEEE vehicular technology conference, Tokyo, Japan, 15–18 May 2000
59.
Kim H, Han Y (2005) A proportional fair scheduling for multicarrier transmission systems. IEEE Commun Letters 9(3):210–212CrossRef
Metadaten
Titel
Evaluation of Scheduling Algorithms for 5G Mobile Systems
verfasst von
Christian F. Müller
Guillermo Galaviz
Ángel G. Andrade
Irina Kaiser
Wolfgang Fengler
Copyright-Jahr
2018
Buch
Computer Science and Engineering—Theory and Applications

Print ISBN: 978-3-319-74059-1

Electronic ISBN: 978-3-319-74060-7

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-74060-7_12