Adaptive channel management schemes for wireless communication systems

Channel management schemes for wireless networks aim typically at minimizing the hand-o! failure probability of on-going calls at the risk of blocking new calls. In a dynamically changing environment, however, such a strategy may increase the likelihood of blocking new calls, unnecessarily. To provide a &better e!ort' quality of service support (QoS) to new calls, while guaranteeing a high level of QoS support for hand-o! calls, this paper proposes a new class of adaptive channel management schemes. The QoS level support is achieved by dynamically adjusting a channel sharing ratio between new and hand-o! calls so that the hand-o! failure probability and the new call blocking probability remain below their respective prede"ned thresholds. Two di!erent schemes are presented, the randomized channel assignment (rCA) scheme and the balanced channel assignment (bCA) scheme. The rCA scheme controls the system's performance so that new calls are allowed to compete randomly with hand-o! calls for excess channels within a cell, without violating the QoS requirements of the hand-o! calls. The bCA scheme takes a di!erent approach and dynamically adjusts the new call admission rate, depending on which type of call, new or hando!, is currently more prevalent within a cell. This approach alleviates the channel assignment scheme from a tight dependency on the underlying tra$c model and re#ects the dynamically changing load within the cell. The performance of the proposed schemes is studied and compared to other channel management schemes proposed in the literature. Copyright ( 2000 John Wiley & Sons, Ltd.

[1]  QUTdN QeO,et al.  Random early detection gateways for congestion avoidance , 1993, TNET.

[2]  Mahmoud Naghshineh,et al.  Control and quality-of-service provisioning in high-speed microcellular networks , 1994, IEEE Personal Communications.

[3]  R.A. Guerin,et al.  Channel occupancy time distribution in a cellular radio system , 1987, IEEE Transactions on Vehicular Technology.

[4]  Bijan Jabbari,et al.  A Measurement-Based Prioritization Scheme for Handovers in Mobile Cellular Networks , 1992, IEEE J. Sel. Areas Commun..

[5]  Hiroyuki Morikawa,et al.  Performance analysis of microcellular mobile communication systems , 1994, Proceedings of IEEE Vehicular Technology Conference (VTC).

[6]  Dong-Wan Tcha,et al.  Prioritized channel assignment in a cellular radio network , 1992, IEEE Trans. Commun..

[7]  Robert Goodell Brown,et al.  Smoothing, forecasting and prediction of discrete time series , 1964 .

[8]  H. Xie,et al.  Priority handoff analysis , 1993, IEEE 43rd Vehicular Technology Conference.

[9]  R. Deal Simulation Modeling and Analysis (2nd Ed.) , 1994 .

[10]  D. Cox,et al.  The statistical analysis of series of events , 1966 .

[11]  Don Towsley,et al.  Personal & wireless communications: digital technology & standards , 1997, MOCO.

[12]  Prem Dassanayake,et al.  User Mobility Modeling and Characterization of Mobility Patterns , 1997, IEEE J. Sel. Areas Commun..

[13]  S. Tekinay,et al.  Handover and channel assignment in mobile cellular networks , 1991, IEEE Communications Magazine.

[14]  K. L. Yeung,et al.  Channel management in microcell/macrocell cellular radio systems , 1996 .

[15]  Anthony S. Acampora An Introduction to Broadband Networks , 1994 .

[16]  Mischa Schwartz,et al.  Distributed call admission control in mobile/wireless networks , 1996, IEEE J. Sel. Areas Commun..

[17]  Stephen S. Rappaport,et al.  Traffic model and performance analysis for cellular mobile radio telephone systems with prioritized and nonprioritized handoff procedures , 1986, IEEE Transactions on Vehicular Technology.

[18]  David J. Goodman,et al.  Mobility models and biased sampling problem , 1993, Proceedings of 2nd IEEE International Conference on Universal Personal Communications.