A pattern recognition system for handoff algorithms

In wireless cellular systems, handoff algorithms decide when and to which base station to handoff. Traditional handoff algorithms generally cannot keep both the average number of unnecessary handoffs and the handoff decision delay low. They do not exploit the relative constancy of path loss and shadow fading effects at any given location around a base station. This information can in fact be used to improve the efficiency of handoff algorithms, as we do in our new handoff algorithms using statistical pattern recognition. Handoff algorithms with both a negligible number of unnecessary handoffs and a negligible decision delay can therefore be realized.

[1]  Morton Nadler,et al.  Pattern recognition engineering , 1993 .

[2]  A. Sampath,et al.  Estimation of maximum Doppler frequency for handoff decisions , 1993, IEEE 43rd Vehicular Technology Conference.

[3]  J. M. Holtzman,et al.  A model for analyzing handoff algorithms (cellular radio) , 1993 .

[4]  W. C. Jakes,et al.  Microwave Mobile Communications , 1974 .

[5]  D. Wong,et al.  Estimating local mean signal power level in a Rayleigh fading environment , 1999 .

[6]  Jack M. Holtzman,et al.  Adaptive averaging methodology for handoffs in cellular systems , 1995 .

[7]  Nishith D. Tripathi,et al.  Pattern classification based handoff using fuzzy logic and neural nets , 1998, ICC '98. 1998 IEEE International Conference on Communications. Conference Record. Affiliated with SUPERCOMM'98 (Cat. No.98CH36220).

[8]  M. D. Austin,et al.  Cochannel interference modelling for signal strength based handoff analysis , 1994 .

[9]  Armand M. Makowski,et al.  Optimal control of handoffs in wireless networks , 1995, 1995 IEEE 45th Vehicular Technology Conference. Countdown to the Wireless Twenty-First Century.

[10]  M. D. Austin,et al.  Velocity adaptive handoff algorithms for microcellular systems , 1993, Proceedings of 2nd IEEE International Conference on Universal Personal Communications.

[11]  J.-E. Berg,et al.  Path loss and fading models for microcells at 900 MHz , 1992, [1992 Proceedings] Vehicular Technology Society 42nd VTS Conference - Frontiers of Technology.

[12]  G. Edwards,et al.  Handoff criteria for personal communication networks , 1994, Proceedings of ICC/SUPERCOMM'94 - 1994 International Conference on Communications.

[13]  D. Cox,et al.  A handoff algorithm using pattern recognition , 1998, ICUPC '98. IEEE 1998 International Conference on Universal Personal Communications. Conference Proceedings (Cat. No.98TH8384).

[14]  Sami Tabbane,et al.  A handover decision procedure based on the minimization of Bayes criterion , 1994, Proceedings of IEEE Vehicular Technology Conference (VTC).

[15]  D. C. Cox,et al.  A handoff algorithm for wireless systems using pattern recognition , 1998, Ninth IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (Cat. No.98TH8361).

[16]  Peter E. Hart,et al.  Nearest neighbor pattern classification , 1967, IEEE Trans. Inf. Theory.

[17]  Venugopal V. Veeravalli,et al.  A locally optimal handoff algorithm , 1995, Proceedings of 6th International Symposium on Personal, Indoor and Mobile Radio Communications.

[18]  Hazem Tawfik,et al.  Pattern recognition techniques in handoff and service area determination , 1994, Proceedings of IEEE Vehicular Technology Conference (VTC).

[19]  S.T.S. Chia.  The control of handover initiation in microcells , 1991, [1991 Proceedings] 41st IEEE Vehicular Technology Conference.