Project Description

  • Adaptive and Fuzzy Based Handoff for PCN

    Generally, hysteresis and averaging are used to decrease the number of handoffs but the signal quality gets deteriorated. We have developed techniques to improve the handoff methods which include adaptive prediction based algorithm and fuzzy based algorithms. The former provided a significant improvement in terms of reducing the number of handoffs, while the latter was shown to provide a fast and stable handoff for both line-of sight and non line-of-sight signal conditions.

    For Details See the Relevant Publications

  • G. Edwards, Advanced Handoff Algorithmsfor Microcellular Communication using Fuzzy Techniques, September 1996.

  • G. Edwards and R. Sankar, Microcellular Handoff Using Fuzzy Techniques, Wireless Networks, August 1997, (In second revision).

  • G. Edwards and R. Sankar, A Predictive Fuzzy Algorithm for High Performance Microcellular Handoff, IEEE Global Telecommunications Conference (Globecom), Phoenix, AZ, November 1997, (accepted).

  • G. Edwards, A. Kandel, and R. Sankar, Fuzzy Control for Microcellular Handoff, International Journal of Fuzzy Sets and Systems, June 1996, In Review.

  • G. Edwards and R. Sankar, Fuzzy Control for Microcellular Corner Effect, Proc. Fifth IEEE International Conf. on Fuzzy Systems (FUZZ-IEEE '96), New Orleans, LA, September 1996, pp. 1912-1916.

  • G. Edwards and R. Sankar, Handoff using Fuzzy Logic, Proc. IEEE Globecom '95, Singapore, November 1995, pp. 524-528.

  • G. Edwards and R. Sankar, Fuzzy Control for Microcellular Handoff, Proc. JAMCON '95 Communications Conference , Jamaica, August 1995, pp. 68-73.

  • V. Kapoor, G. Edwards, and R. Sankar, Handoff Criteria for Personal Communication Networks, Proc. IEEE International Conf. on Communications (ICC), New Orleans, LA, May 1994, pp. 1297-1301.

  • G. Edwards and R. Sankar, A New Handoff Algorithm Using Fuzzy Logic, Proc. IEEE Southeastcon '94, Miami, FL, April 1994, pp. 89-92.

  • V. Kapoor, An Adaptive Prediction Based Handoff Algorithm and its Simulation for Microcellular CDMA, November 1993. July 1992.

  • Traffic Monitoring and Management

    This project's goal is to study the feasibility, develop, and demonstrate a cost-effective and efficient method using handover in wireless cellular communications for monitoring traffic flow and predicting congestion. The algorithm for this intelligent traffic monitoring system uses handover information to estimate the average speed of the vehicles in a target location. The algorithm was tested on a model network (steet map overlaid on a cellular coverage map) using different traffic conditions such as normal and congested traffic flow. Preliminary results indicate that the system is capable of successfully finding the location of the cellular phone equipped vehicles and accurately estimate the average speed in near real-time.

    For Details See the Relevant Publications

  • R. Sankar and L. Civil, Traffic Monitoring and Congestion Prediction Using Handoffs in Wireless Cellular Communications, IEEE 47th Annual International Vehicular Technology Conference (IEEE VTC), Phoenix, AZ, May 1997, pp.520-524.

  • R. Sankar and L. Civil, Intelligent Traffic Monitoring System Using Wireless Cellular Communications, IEEE Southeastcon '97, Blacksburg, VA, April 1997, pp. 210-214.

  • R. Sankar and L. Civil, Traffic Monitoring and Congestion Management using Cellular Communications Technology, USF Research Council, June 1996, (Final Report, 80 pages).