article

Congestion prevention in broadband wireless access systems: An economic approach

Authors:

Bader Al-Manthari,

Hossam HassaneinAuthors Info & Claims

Journal of Network and Computer Applications, Volume 34, Issue 6

Pages 1836 - 1847

https://doi.org/10.1016/j.jnca.2010.12.001

Published: 01 November 2011 Publication History

Abstract

While the demand for mobile broadband wireless services continues to increase, radio resources remain scarce. Even with the substantial increase in the supported bandwidth in the next generation broadband wireless access systems (BWASs), it is expected that these systems will severely suffer from congestion, due to the rapid increase in demand of bandwidth-intensive multimedia services. Without efficient bandwidth management and congestion control schemes, network operators may not be able to meet the increasing demand of users for multimedia services, and hence they may suffer an immense revenue loss. In this paper, we propose an admission-level bandwidth management scheme consisting of call admission control (CAC) and dynamic pricing. The main aim of our proposed scheme is to provide monetary incentives to users to use the wireless resources efficiently and rationally, hence, allowing efficient bandwidth management at the admission level. By dynamically determining the prices of units of bandwidth, the proposed scheme can guarantee that the number of connection requests to the system are less than or equal to certain optimal values computed dynamically, hence, ensuring a congestion-free system. The proposed scheme is general and can accommodate different objective functions for the admission control as well as different pricing functions. Comprehensive simulation results with accurate and inaccurate demand modeling are provided to show the effectiveness and strengths of our proposed approach.

References

[1]

3GPPTS 25.308 High speed downlink packet access (HSDPA); overall description, Release 5, March 2003.

[2]

Al-Manthari B, Nasser N, Hassanein H. Dynamic pricing in wireless cellular networks, submitted to the IEEE Communications Surveys and Tutorials, June 2008.

[3]

Barriac G, Holtzman J. Introducing delay sensitivity into the proportional fair algorithm for CDMA downlink scheduling. In: Proceedings of the IEEE international symposium on spread spectrum techniques and applications(ISSSTA), vol. 3, Prague, Czech Republic; September 2002 p. 652-6.

[4]

A comparative study of bandwidth reservation and admission control schemes in QoS-sensitive cellular networks. ACM Wireless Networks. v6. 289-305.

Digital Library

[5]

Pricing communication networks: Economic. John Wiley & Sons.

[6]

Deliverable D3. 2v2. End-to-end network model for enhanced UMTS. Available from: {http://www.ti-wmc.nl/eurane/}

[7]

Predictive QoS-based admission control for multi class traffic in cellular wireless networks. IEEE Journal on Selected Areas in Communications. v18 i3.

Digital Library

[8]

Telecommunication system engineering. 3rd ed. Wiley.

[9]

Fitkov-Norris ED, Khanifar A. Congestion pricing in cellular networks, a mobility model with a provider-oriented approach. In: Proceedings of the IEEE international conference on 3G mobile communication technologies (3G). London (UK): March 2001. p. 63-7.

[10]

Hjelm B. Admission control in future multi-service wideband direct-sequence CDMA (WCDMA) systems. In: Proceedings of the IEEE vehicular technology conference (VTC), vol. 3, Boston: U.S.A; September 2000. p. 1086-93.

[11]

Integration of pricing with call admission control to meet QoS requirements in cellular networks. IEEE Transactions on Parallel and Distributed Systems. v13 i9. 898-910.

Digital Library

[12]

Hew SL. White LB. Optimal integrated call admission control and congestion pricing with handoffs and price-affected arrivals. In: Proceedings of the asian-pacific conference on communications (APCC). Perth (Australia): October 2005. p. 396-400.

[13]

Han SW, Han Y. A simple congestion pricing in wireless communication. In: Proceedings of the IEEE vehicular technology conference (VTC), vol. 5, Dallas: U.S.A; September 2005. p. 795-8.

[14]

Traffic model and performance analysis for cellular mobile radio telephone systems with prioritized and none-prioritized handoff procedures. IEEE Transactions of Vehicular Technology. v35 i3. 77-92.

[15]

Hou J, Papavassiliou S. Influence-based channel reservation scheme for mobile cellular networks. In: Proceedings of the IEEE symposium on computers and communications (ISCC). Hammamet (Tunisia): July 2001. p. 218-23.

Digital Library

[16]

IEEE 802.16-2004. "Air interface for fixed broadband wireless access systems". October 2004.

[17]

IEEE 802.16e. "Air interface for fixed and mobile broadband wireless access systems". February 2005.

[18]

Jose P. Packet scheduling and quality of service in HSDPA. Ph.D. Dissertation. Aalborg University (Denmark): October 2003.

[19]

Kazmi M, Godlewski P, Cordier C. Admission control strategy and scheduling algorithms for downlink packet transmission in WCDMA. In: Proceedings of the IEEE vehicular technology conference (VTC), vol. 2, Boston: U.S.A; September 2000. p. 674-80.

[20]

Efficient interactive call admission control in power-controlled mobile systems. IEEE Transactions on Vehicular Technology. v49. 1017-1028.

[21]

Dynamic guard channel allocation scheme for calls in WONs. Electronic Letters. v43 i3. 170-171.

[22]

Optimal resource allocation and adaptive call admission control for voice/data integrated cellular networks. IEEE Transactions on Vehicular Technology. v55 i2. 654-669.

[23]

Call admission control for voice/data integrated cellular networks: performance analysis and comparative study. IEEE Journal on Selected Areas in Communications. v22 i4. 706-718.

Digital Library

[24]

Lee JW, Mazumdar RR, Shroff NB. Downlink power allocation for multi-class CDMA wireless networks. In: Proceedings of the IEEE joint conference of computer and communications societies (INFOCOM). New York (U.S.A): June 2002. p. 1480-89.

[25]

Downlink power allocation for multi-class CDMA wireless systems. IEEE/ACM Transactions on Networking. v13 i4. 854-867.

Digital Library

[26]

Liu P, Honig ML, Jordan S. Forward-link CDMA resource allocation based on pricing. In: Proceedings of the IEEE wireless communications and networking conference (WCNC), vol. 3, Chicago: U.S.A;September 2000.p. 1410-14.

[27]

Single-cell forward link power allocation using pricing in wireless networks. IEEE Transactions on Wireless Communications. v3 i2. 533-543.

Digital Library

[28]

Liu D, Zhang Y. A self-learning adaptive critic approach for call admission control in wireless cellular networks. In: Proceedings of the IEEE international conference on communications (ICC), vol. 3, Anchorage: U.S.A.; May 2003. p. 1853-57.

[29]

Lunden P, Kuusela M. Enhancing performance of VoIP over HSDPA. In: Proceedings of the IEEE vehicular technology conference (VTC). Dublin (Ireland): April 2007. p. 825-29.

[30]

Lunden P, Aijanen J, Aho K, Ristaniemi T. Performance of VoIP over HSDPA in mobility scenarios. In: Proceedings of the IEEE vehicular technology conference (VTC). Marina Bay (Singapore): May 2008. p. 2046-50.

[31]

Ma Y, Han JJ, Trivedi KS. Call admission control for reducing dropped calls in code division multiple access (CDMA) cellular systems. In: Proceedings of the annual joint conference of the IEEE computer societies (INFOCOM). NewYork (U.S.A): March 2000. p. 1481-90.

[32]

Mandal S, Saha D, Mahanti A. A technique to support congestion pricing strategy for differentiated cellular mobile services. In: Proceedings of the IEEE global telecommunications conference (GLOBECOM), vol. 6. St. Louis: U.S.A; December 2005. p. 3388-92.

[33]

Mandal S, Saha D, Chatterjee M. Pricing wireless network services using smart market models. In: Proceedings of the IEEE consumer communications and networking conference (CCNC), vol. 1. Las Vegas: U.S.A.; January 2006. p. 574-8.

[34]

Dynamic price discovering models for differentiated wireless services. Journal of Communications. v1 i5. 50-56.

[35]

Optimized bandwidth allocation with fairness and service differentiation in multimedia wireless networks. Journal of Wireless Communications and Mobile Computing. v8 i4. 501-511.

Digital Library

[36]

Radio resource management algorithms in wireless cellular networks. In: Boukerche, A. (Ed.), Handbook of algorithms for wireless networking and mobile computing, CRC Press, Chapman Hall. pp. 415-437.

[37]

Pricing-based approaches in the design of next-generation wireless networks: a review and a unified proposal. IEEE Communications Surveys and Tutorials. v9 i2. 88-101.

Digital Library

[38]

A distributed adaptive guard channel reservation scheme for cellular networks. International Journal of Communication Systems. v20 i9. 1037-1058.

Digital Library

[39]

Adaptive power allocation and call admission control in multiservice WiMAX access networks. IEEE Wireless Communications Magazine. v14 i1. 14-19.

Digital Library

[40]

Integrated downlink resource management for multiservice WiMAX networks. IEEE Transactions on Mobile Computing. v6 i6. 621-632.

Digital Library

[41]

RodriguesEB, Olsson J. Admission control for streaming services over HSDPA. In: Proceedings of the advanced industrial conference on telecommunications/service assurance with partial and intermittent resources conference (AICT/SAPIR). Lisbon (Portugal): July 2005. p. 255-60.

Digital Library

[42]

Rittenhouse G, Zheng H. Providing VoIP service in UMTS-HSDPA with frame aggregation. In: Proceedings of the IEEE international conference on acoustics, speech, and signal processing (ICASSP), vol. 2, Philadelphia, PA: U.S.A; March 2005. p.1157-60.

[43]

Sun S, Krzyman WA. Call admission policies and capacity analysis of a multi-service CDMA personal communication system with continuous and discontinuous transmission. In: Proceedings of the IEEE vehicular technology conference (VTC), vol. 1, Ottawa: Canada; May 1998. p. 218-23.

[44]

Salamah M. An adaptive multi-guard channel scheme for mutli-class traffic in cellualr networks. In: Proceedings of the IEEE international conference on computer systems and applications (AICCSA). Dubai/Sharjah (U.A.E.): March 2006. p. 716-23.

Digital Library

[45]

. 7th ed. W.W. Norton & Company.

[46]

Viterbo E, Chiasserini CF. Dynamic pricing for connection-oriented services in wireless networks. In: Proceedings of the IEEE international symposium on personal, indoor and mobile radio communications (PIMRC), vol. 1. San Diego: U.S.A; September 2001. p. 68-72.

[47]

Yaipairoj S, Harmantzis FC. Congestion Pricing with Alternatives for Mobile Networks. In: Proceedings of the IEEE wireless communications and networking conference (WCNC), vol. 4. Atlanta: U.S.A; March 2004. p. 671-6.

[48]

Yaipairoj S, Harmantzis FC. Auction-based congestion pricing for wireless data services. In: Proceedings of the IEEE international conference on communications (ICC). Istanbul (Turkey): June 2006. p. 1059-64.

[49]

Zorba N, Perez-Neira AI. CAC for multibeam opportunistic schemes in heterogeneous WiMax systems under QoS constraints. In: Proceedings of the IEEE global telecommunications conference (GLOBECOM). Washington (D.C., U.S.A): November 2007. p. 4296-300.

[50]

Zhang P, Jordan S, Liu P, Honig ML. Power control of voice users using pricing in wireless networks. In: Proceedings of the SPIE ITCOM 2001 conference on modeling and design of wireless networks, vol. 4531. Denver: U.S.A; August 2001, p. 155-65.

[51]

{http://lpsolve.sourceforge.net/5.5/}.

Cited By

Postigo-Boix MMelús-Moreno J(2018)Generating Demand Functions for Data Plans from Mobile Network Operators Based on Users' ProfilesJournal of Network and Systems Management10.1007/s10922-018-9448-126:4(904-928)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1007/s10922-018-9448-1
Chen JYau D(2011)EditorialJournal of Network and Computer Applications10.1016/j.jnca.2011.07.00234:6(1771-1772)Online publication date: 1-Nov-2011
https://dl.acm.org/doi/10.1016/j.jnca.2011.07.002

Congestion prevention in broadband wireless access systems: An economic approach
1. General and reference
  1. Cross-computing tools and techniques
2. Networks
  1. Network services
  2. Network types

Recommendations

Congestion-based pricing resource management in broadband wireless networks

Supporting the diverse QoS requirements of multimedia applications is an essential requirement for broadband wireless access (BWA) networks. Due to the projected dynamics in traffic patterns, more capable resource management functionalities are needed. ...
Tiered bandwidth reservation scheme for multimedia wireless networks

It is important to provide quality of service (QoS) guarantees if we want to support multimedia applications over wireless networks. In this paper, considering the features of tiering in sectored cellular networks, we propose a novel scheme for ...
Adaptive call admission control for QoS provisioning in multimedia wireless networks

In this paper, we propose a new framework called adaptive quality of service (AdQoS) to guarantee the quality of service (QoS) of multimedia traffic generally classified as real-time and non-real-time. AdQos supports future generation wireless networks ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Journal of Network and Computer Applications

Journal of Network and Computer Applications Volume 34, Issue 6

November, 2011

281 pages

ISSN:1084-8045

Issue’s Table of Contents

Copyright © Elsevier Ltd © 2011.

Publisher

Academic Press Ltd.

United Kingdom

Publication History

Published: 01 November 2011

Author Tags

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 18 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Postigo-Boix MMelús-Moreno J(2018)Generating Demand Functions for Data Plans from Mobile Network Operators Based on Users' ProfilesJournal of Network and Systems Management10.1007/s10922-018-9448-126:4(904-928)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1007/s10922-018-9448-1
Chen JYau D(2011)EditorialJournal of Network and Computer Applications10.1016/j.jnca.2011.07.00234:6(1771-1772)Online publication date: 1-Nov-2011
https://dl.acm.org/doi/10.1016/j.jnca.2011.07.002

View Options

View options

Media

Figures

Other

Tables

View Issue’s Table of Contents