The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.05 - May (2012 vol.11)
pp: 807-820
Eng Hwee Ong , University of Newcastle, Australia, Newcastle
Jamil Y. Khan , University of Newcastle, Australia, Newcastle
Kaushik Mahata , University of Newcastle, Australia, Newcastle
ABSTRACT
Recently, the IEEE 1900.4 standard specified a policy-based radio resource management (RRM) framework in which the decision making process is distributed between network-terminal entities. The standard facilitates the optimization of radio resource usage to improve the overall composite capacity and quality of service (QoS) of heterogeneous wireless access networks within a composite wireless network (CWN). Hence, the study of different RRM techniques to maintain either a load- or QoS-balanced system through dynamic load distribution across a CWN is pivotal. In this paper, we present and evaluate three primary RRM techniques from different aspects, spanning across predictive versus reactive to model-based versus measurement-based approaches. The first technique is a measurement-based predictive approach, known as predictive load balancing (PLB), commonly employed in the network-distributed RRM framework. The second technique is a model-based predictive approach, known as predictive QoS balancing (PQB), typically implemented in the network-centralized RRM framework. The third technique is a measurement-based reactive approach, known as reactive QoS balancing (RQB), anchored in the IEEE 1900.4 network-terminal distributed RRM framework. Comprehensive performance analysis between these three techniques shows that the IEEE 1900.4-based RQB algorithm yields the best improvement in QoS fairness and aggregate end-user throughput while preserving an attractive baseline QoS property.
INDEX TERMS
IEEE 1900.4, radio resource management, reactive, predictive, load distribution, WLANs.
CITATION
Eng Hwee Ong, Jamil Y. Khan, Kaushik Mahata, "Radio Resource Management of Composite Wireless Networks: Predictive and Reactive Approaches", IEEE Transactions on Mobile Computing, vol.11, no. 5, pp. 807-820, May 2012, doi:10.1109/TMC.2011.87
REFERENCES
[1] IEEE P802.11ac, Specification Framework for TGac, IEEE 802.11-09/0992r18, IEEE, Sept. 2010.
[2] IEEE 1900.4-2009, IEEE Standard for Architectural Building Blocks Enabling Network-Device Distributed Decision Making for Optimized Radio Resource Usage in Heterogeneous Wireless Access Networks, IEEE, Feb. 2009.
[3] A. Tolli, P. Hakalin, and H. Holma, "Performance Evaluation of Common Radio Resource Management (CRRM)," Proc. IEEE Int'l Conf. Comm. (ICC '02), vol. 5, pp. 3429-3433, May 2002.
[4] E.H. Ong, J.Y. Khan, and K. Mahata, "On Dynamic Load Distribution Algorithms for Multi-AP WLAN under Diverse Conditions," Proc. IEEE Wireless Comm. and Networking Conf. (WCNC '10), pp. 1-6, Apr. 2010.
[5] O. Holland, M. Muck, P. Martigne, D. Bourse, P. Cordier, S.B. Jemaa, P. Houze, D. Grandblaise, C. Klock, T. Renk, J. Pan, P. Slanina, K. Mobner, L. Giupponi, J.P. Romero, R. Agusti, A. Attar, and A.H. Aghvami, "Development of a Radio Enabler for Reconfiguration Management within the IEEE P1900.4 Working Group," Proc. Second IEEE Int'l Symp. New Frontiers in Dynamic Spectrum Access Networks (DySPAN '07), pp. 232-239, Apr. 2007.
[6] N.G. Shivaratri, P. Krueger, and M. Singhal, "Load Distributing for Locally Distributed Systems," Computer, vol. 25, no. 12, pp. 33-44, Dec. 1992.
[7] P. Magnusson, J. Lundsjo, J. Sachs, and P. Wallentin, "Radio Resource Management Distribution in a Beyond 3G Multi-Radio Access Architecture," Proc. IEEE Global Telecomm. Conf. (GlobeCom '04), vol. 6, pp. 3472-3477, Nov./Dec. 2004.
[8] E.H. Ong and J.Y. Khan, "Cooperative Radio Resource Management Framework for Future IP-Based Multiple Radio Access Technologies Environment," Computer Networks, vol. 54, no. 7, pp. 1083-1107, May 2010.
[9] S. Garg and M. Kappes, "Admission Control for VoIP Traffic in IEEE 802.11 Networks," Proc. IEEE Global Telecomm. Conf. (GlobeCom '03), vol. 6, pp. 3514-3518, Dec. 2003.
[10] H. Zhai, X. Chen, and Y. Fang, "How Well Can the IEEE 802.11 Wireless LAN Support Quality of Service?" IEEE Trans. Wireless Comm., vol. 4, no. 6, pp. 3084-3094, Nov. 2005.
[11] H. Velayos, V. Aleo, and G. Karlsson, "Load Balancing in Overlapping Wireless LAN Cells," Proc. IEEE Int'l Conf. Comm. (ICC '04), vol. 7, pp. 3833-3836, June 2004.
[12] X. Chen, H. Zhai, X. Tian, and Y. Fang, "Supporting QoS in IEEE 802.11e Wireless LANs," IEEE Trans. Wireless Comm., vol. 5, no. 8, pp. 2217-2227, Aug. 2006.
[13] J. Yu, S. Choi, and J. Lee, "Enhancement of VolP over IEEE 802.11 WLAN via Dual Queue Strategy," Proc. IEEE Int'l Conf. Comm. (ICC '04), vol. 6, pp. 3706-3711, June 2004.
[14] H. Zhai, Y. Kwon, and Y. Fang, "Performance Analysis of IEEE 802.11 MAC Protocols in Wireless LANs," Wireless Comm. and Mobile Computing, vol. 4, no. 8, pp. 917-931, Nov. 2004.
[15] Q. Ni, T. Li, T. Turletti, and Y. Xiao, "Saturation Throughput Analysis of Error-Prone 802.11 Wireless Networks," Wireless Comm. and Mobile Computing, vol. 5, no. 8, pp. 945-956, Nov. 2005.
[16] E. Ziouva and T. Antonakopoulos, "CSMA/CA Performance under High Traffic Conditions: Throughput and Delay Analysis," Computer Comm., vol. 25, no. 3, pp. 313-321, Feb. 2002.
[17] Y. Xiao, "Performance Analysis of IEEE 802.11e EDCF under Saturation Condition," Proc. IEEE Int'l Conf. Comm. (ICC '04), vol. 1, pp. 170-174, June 2004.
[18] D. Malone, K. Duffy, and D. Leith, "Modeling the 802.11 Distributed Coordination Function in Nonsaturated Heterogeneous Conditions," IEEE/ACM Trans. Networking, vol. 15, no. 1, pp. 159-172, Feb. 2007.
[19] IEEE 802.11-2007, Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications, IEEE, June 2007.
[20] P. Chatzimisios, "Performance Modelling and Enhancement of Wireless Communication Protocols," PhD thesis, Bournemouth Univ., Dec. 2004.
[21] P. Raptis, V. Vitsas, P. Chatzimisios, and K. Paparrizos, "Voice and Data Traffic Analysis in IEEE 802.11 DCF Infrastructure WLANs," Proc. Second Int'l Conf. Advances in Mesh Networks (MESH '09), pp. 37-42, June 2009.
[22] M.J. Karam and F.A. Tobagi, "Analysis of Delay and Delay Jitter of Voice Traffic in the Internet," Computer Networks, vol. 40, no. 6, pp. 711-726, Dec. 2002.
[23] D. Gross and C.M. Harris, Fundamentals of Queueing Theory, third ed. John Wiley & Sons, Inc., 1998.
[24] G. Bianchi, "Performance Analysis of the IEEE 802.11 Distributed Coordination Function," IEEE J. Selected Areas in Comm., vol. 18, no. 3, pp. 535-547, Mar. 2000.
[25] N.T. Dao and R.A. Malaney, "A New Markov Model for Non-Saturated 802.11 Networks," Proc. Fifth IEEE Consumer Comm. and Networking Conf. (CCNC '08), pp. 420-424, Jan. 2008.
[26] G. Kuriakose, S. Harsha, A. Kumar, and V. Sharma, "Analytical Models for Capacity Estimation of IEEE 802.11 WLANs Using DCF for Internet Applications," Wireless Networks, vol. 15, no. 2, pp. 259-277, Feb. 2009.
[27] E.H. Ong and J.Y. Khan, "Distributed Radio Resource Usage Optimization of WLANs Based on IEEE 1900.4 Architecture," Proc. IFIP Wireless Days Conf. (WD '09), pp 1-6, Dec. 2009.
[28] P.S. Maybeck, Stochastic Models, Estimation, and Control, vol. 1. Academic, 1979.
[29] S. Liu, "An Adaptive Kalman Filter for Dynamic Estimation of Harmonic Signals," Proc. Eighth Int'l Conf. Harmonics and Quality of Power, vol. 2, pp. 636-640, Oct. 1998.
[30] ITU-T P.59, Artificial Conversational Speech, Int'l Telecomm. Union recommendation, Mar. 1993.
18 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool