Skip to main content
SpringerLink
Log in

An AHP-based resource management scheme for CRRM in heterogeneous wireless networks

  • Published:
annals of telecommunications - annales des télécommunications Aims and scope Submit manuscript

Abstract

In a heterogeneous wireless environment, a variety of Radio Access Technologies (RATs) coexist. Since the number of RATs is anticipated to increase in the near future, it is desirable to have radio and network resources managed in a cooperative manner using the Common Radio Resource Management (CRRM) strategy. In order to make RAT-specific radio resources manageable in CRRM, this paper proposes the Analytical Hierarchy Process (AHP) based resource management scheme that efficiently allocates resources among heterogeneous wireless networks. The proposed AHP-based method is simple and flexible enough to be used in any network environment and can consider a multitude of decision factors. In addition, the proposed scheme uses a radio bandwidth model, which properly reflects transmission rates under given channel conditions, as the actual radio resources to be allocated. The model considers the AMC (Adaptive Modulation and Coding) scheme that is widely used in current broadband wireless access technologies, and thus, packet service characteristics, such as response time, can be analyzed. This is in contrast to existing work that focuses only on circuit service characteristics (e.g., blocking probability). The effectiveness and flexibility of the proposed method are demonstrated by implementing a number of existing methods and performing extensive simulation study on several different scenarios.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Similar content being viewed by others

Notes

  1. RI is the average CI of 500 randomly filled matrices and is compared with CI of A obtained in Eq. 1 for consistency check.

  2. In 3GPP HSDPA, the actual transmission bandwidth is 1.8, 3.6, 7.2, or 14.4 Mbps, which perfectly match our assumption.

References

  1. Wu L, Sandrasegaran K (2007) A survey on common radio resource management. In: Proc. of wireless broadband and ultra wideband communications, pp 60–66

  2. Sallent O (2006) A perspective on radio resource management in B3G. In: Proc. of wireless communication systems, pp 30–34

  3. Saaty TL (2000) Fundamentals of decision making and priority theory with the analytic hierarchy process. RWS Publications, USA

    Google Scholar 

  4. Stevens-Navarro E, Wong VWS, Lin Y (2007) A vertical handoff Decision algorithm for heterogeneous wireless networks. In: Proc. of wireless communications and networking conference, pp. 3199–3204

  5. Wang LC, Chen A, Chen HH (2007) Network selection with joint vertical and horizontal handoff in heterogeneous WLAN and mobile WiMAX systems. In: Proc. of vehicular technology conference. Spring, pp 794–798

  6. Stevens-Navarro E, Wong VWS (2006) Comparison between vertical handoff decision algorithms for heterogeneous wireless networks. In: Proc. of vehicular technology conference. Spring, pp 947–951

  7. Taha AEM, Hassanein HS, Mouftah HT (2006) Exploiting vertical handoffs in next generation radio resource management. In: Proc. of communications, pp 2083–2088

  8. Gelabert X, Perez-Romero J, Sallent O, Agusti R (2007) On managing multiple radio access congestion events in B3G scenarios. In: Proc. of vehicular technology conference. Spring, pp 1137–1141

  9. Tolli A, Hakalin P, Holma H (2002) Performance evaluation of common radio resource management (CRRM). In: Proc. of communications, pp 3429–3433

  10. Tolli A, Hakalin P (2002) Adaptive load balancing between multiple cell layers. In: Proc. of vehicular technology conference, Fall, pp 1691–1695

  11. Piqueras R, Perez-Romero J, Salient O, Agusti R (2006) Dynamic pricing for decentralised RAT selection in heterogeneous scenarios. In: Proc. of personal, indoor and mobile radio communications, pp 1–5

  12. Perez-Romero J, Salient O, Agusti R (2005) Policy-based initial RAT selection algorithms in heterogeneous networks. In: Proc of 7th mobile wireless communication networks, pp 1–5

  13. Hasib A, Fapojuwo AO (2007) Performance analysis of common radio resource management scheme in multi-service heterogeneous wireless networks. In: Proc. of wireless communications and networking conference, pp 3296–3300

  14. Perez-Romero J, Salient O, Agusti R, Garcia N, Wang L, Aghvami H (2006) Network-controlled cell-breathing for capacity improvement in heterogeneous CDMA/TDMA scenarios. In: Proc. of wireless communications and networking conference, pp 36–41

  15. Perez-Romero J, Ferrus R, Salient O, Olmos J (2007) RAT selection in 3GPP-based cellular heterogeneous networks: from theory to practical implementation. In: Proc. of wireless communications and networking conference, pp 2115–2120

  16. Pillekeit A, Derakhshan F, Jugl E, Mitschele-Thiel A (2004) Force-based load balancing in co-Located UMTS/GSMnetworks. In: Proc. of vehicular technology conference, Fall, pp 4402–4406

  17. Agusti R, Salient O, Perez-Romero J, Giupponi L (2004) A fuzzy-neural based approach for joint radio resource management in a beyond 3G framework. In: Proc. of quality of service in heterogeneous wired/wireless networks, pp 216–224

  18. Giupponi L, Agusti R, Perez-Romero J, Sallent O (2005) A novel joint radio resource management approach with reinforcement learning mechanisms. In: Proc. of performance, computing, and communications conference, pp 621–626

  19. Bender P, Black P, Grob M, Padovani R, Sindhushyana N, Viterbi A (2000) CDMA/HDR: a bandwidth efficient high speed wireless data service for nomadic users. In: IEEE communications magazine, pp 70–77

  20. http://www.wireless.att.com/

  21. http://www.sprint.com/

  22. http://www.verizonwireless.com/

  23. Das SK, Lee E, Basu K, Kakani N, Sen SK (2002) Performance optimization of VoIP calls over wireless links using H.323 protocol. In: Proc. of INFOCOM, pp 1386–1394

  24. Timmins PJ, McCormick S, Agu E, Wills CE (2006) Characteristics of mobile web content. In: Proc. of hot topics in web systems and technologies, pp 1–10

  25. Niranjan B, Aruna B, Arun V (2009) Energy consumption in mobile phones: a measurement study and implications for network applications. In: Proc. of internet measurement conference, pp 280–293

Download references

Acknowledgements

This research was supported by the MKE(The Ministry of Knowledge Economy), Korea, under the ITRC(Information Technology Research Center) support program supervised by the NIPA(National IT Industry Promotion Agency) (NIPA-2012-(C1090-1121-0003))

Author information

Authors and Affiliations

  1. Kyung Hee University, Yongin-si, 446-701, Korea

    Choongyong Shin, Jinsung Cho & Jeong Geun Kim

  2. Oregon State University, Corvallis, 97331, OR, USA

    Ben Lee

Authors
  1. Choongyong Shin
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jinsung Cho
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jeong Geun Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ben Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jinsung Cho.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Shin, C., Cho, J., Kim, J.G. et al. An AHP-based resource management scheme for CRRM in heterogeneous wireless networks. Ann. Telecommun. 67, 511–522 (2012). https://doi.org/10.1007/s12243-012-0288-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12243-012-0288-9

Keywords

Search

Navigation