The Effect of Heterogeneous Traffic Distributions on Load Balancing in Mobile Communications: An Analytical Model

Authors

  • K.-C. Chu Department of Information Management, National Taipei University of Nursing and Health Sciences No.365, Mingde Rd., Beitou Dist., Taipei City 11219, Taiwan (R.O.C.)
  • Chun-Sheng Wang Department of Information Management, Jinwen University of Science and Technology No.99, Anzhong Rd., Xindian Dist., New Taipei City 23154, Taiwan (R.O.C.)
  • Wey-Wen Jiang Department of Information Management, National Taipei University of Nursing and Health Sciences No.365, Mingde Rd., Beitou Dist., Taipei City 11219, Taiwan (R.O.C.)
  • Nan-Chen Hsieh Department of Information Management, National Taipei University of Nursing and Health Sciences No.365, Mingde Rd., Beitou Dist., Taipei City 11219, Taiwan (R.O.C.)

Keywords:

analytical model, heterogeneous distributions, load balancing, mobile communications, QoS

Abstract

This paper investigates the load balancing problem in an environment of heterogeneous traffic distributions. An analytical model is proposed to determine the effect of heterogeneous traffic distributions on load balancing, in which a generic measure of load balancing level (LBL) that is a function of traffic type coefficient (TYC) and call blocking probability of cells is to analyze the expected level of the load balance. We consider both voice traffic and data traffic to determine which kind of traffic has the greater effect. The performance of cellular systems with sectorization is evaluated; they are normal case (N) of homogeneous distribution and linear case (L) of heterogeneous distribution. The analysis results indicate that the TYC has a significant effect on the accommodation capacity, in which voice calls outperform data calls because the LBL can easily distinguish between normal and linear distributions. Load balancing can be achieved more easily for voice only traffic than for data only traffic. Sectorization is more effective in achieving load balancing in the scenario of the heavier loads than in the lighter loads. The paper results are useful for network planning to optimize the channel allocation for different traffic type’s distribution.

References

J.-S. Wu and J.-K. Chung, Analysis of uplink and downlink capacities for two-tier cellular system, IEEE Proc.-Communications., 144(6):405-411, 1997

J.C. Liberti, T. S. Rappaport, Analytical Results for Capacity Improvements in CDMA, IEEE Transactions on Vehicular Technology, vol. 43, pp. 680-690, Sep. 1994 http://dx.doi.org/10.1109/25.312781

G. Ning, G. Zhu, L. Peng, and X. Lu, Research on hybrid dynamic load balancing algorithm in heterogeneous hierarchical wireless networks, Journal on Communication, 28(1):75-81+86, 2007

A. Sang, X. Wang, M. Madihian, and R. D. Gitlin, Coordinated load balancing, handoff/cellsite selection, and scheduling in multi-cell packet data systems, Wireless Networks, 14(1):103- 120, 2008 http://dx.doi.org/10.1007/s11276-006-8533-7

X.H. Chen, Adaptive traffic-load shedding and its capacity gain in CDMA cellular systems, in Proc. IEE Communications, pp. 186-192, 1995

V.V. Veeravalli and A. Sendonaris, The coverage-capacity tradeoff in cellular CDMA systems, IEEE Transactions on Vehicular Technology, 48(5):1443-1450, 1999 http://dx.doi.org/10.1109/25.790518

G. Hampel, K.L. Clarkson, J.D. Hobby, and P.A. Polakos, The tradeoff between coverage and capacity in dynamic optimization of 3G cellular networks, in Proc. IEEE VTC-Fall, vol. 2, pp. 927-932, 2003

W.-M. Tam and F.C.M. Lau, Analysis of power control and its imperfections in CDMA cellular systems, IEEE Transactions on Vehicular Technology, 48(5):1706-1717, 1999 http://dx.doi.org/10.1109/25.790552

X.H. Chen and K.L. Lee, A novel adaptive traffic load shedding scheme for CDMA cellular mobile systems, in Proc. IEEE ICCS, vol. 2, pp. 566-570, 1994

X.H. Chen, Adaptive traffic-load shedding and its capacity gain in CDMA cellular mobile systems, IEE Proceedings-Communications, 142(3):186-192, 1995 http://dx.doi.org/10.1049/ip-com:19951913

J.S. Kaufman, Blocking in a shared resource environment, IEEE Transactions on Communications, vol. 29, pp. 1474-1481, 1981 http://dx.doi.org/10.1109/TCOM.1981.1094894

A. He, Performance comparison of load balancing methods in multiple carrier CDMA systems, in Proc. IEEE PIMRC, pp. 113-118, 2000

S.W. Kim, D.G. Jeong, W.S. Jeon, and C.-H. Choi, Forward link performance of combined soft and hard handoff in multimedia CDMA systems, IEICE Transactions on Communications, vol. E85-B, no.7, pp. 1276-1282, July 2002

W. Choi and J.Y. Kim, Forward-link capacity of a DS-CDMA system with mixed multirate sources, IEEE Transactions on Vehicular Technology, 50(3):737-749, 2001 http://dx.doi.org/10.1109/25.933309

D. Kim and D.G. Jeong, Capacity unbalance between uplink and downlink in spectrally overlaid narrow-band and wide-band CDMA mobile systems, IEEE Transactions on Vehicular Technology, 49(4):1086-1093, 2000 http://dx.doi.org/10.1109/25.875215

W.S. Jeon and D.G. Jeong, Call admission control for mobile multimedia communications with traffic asymmetry between uplink and downlink, IEEE Transactions on Vehicular Technology, 50(1):59-66, 2001 http://dx.doi.org/10.1109/25.917873

W.S. Jeon and D.G. Jeong, Call admission control for CDMA mobile communications systems supporting multimedia services, IEEE Transactions on Wireless Communications, 1(4):649-659, 2002 http://dx.doi.org/10.1109/TWC.2002.804189

K. Kim and Y. Han, A call admission control scheme for multi-rate traffic based on total received power, IEICE Transactions on Communications, vol. E84-B, no. 3, pp. 457-463, March 2001

Published

2014-09-20

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.