Performance Of Handoff Algorithms Research Articles

A New Modeling Scenario and Analysis of Handoff Algorithms in Multisector Systems With Cochannel Interference

This paper introduces a novel analytical model for analyzing the performance of handoff algorithms based on absolute and relative signal strength measurements. The performance is analyzed in multicell and multisector environments where cochannel interference (CCI) is present. The model presented in this paper accounts for the distinct features of intersector handoff compared with intercell handoff. Numerical results show that the performance metrics are affected by the CCI level. The occurrence condition of unnecessary handoffs in multisector systems is also presented.

Simulation and performance evaluation of IS-95 handoff algorithms

In this paper, we investigate the performance of handoff algorithms for the IS-95A and IS-95B standards. We compare the performance of the algorithms specified in the standards with enhanced base station processing that we refer to as the base-station assisted handoff (BAHO) algorithm. Since soft handoff performance in code division multiple access (CDMA) networks is a function of the system's operating load on the air interface, we study the performance of these handoff algorithms using system-level simulations. At the same carried load, the handoff algorithms and the parameter settings determine the rate (and capacity) of handoff activity (for example, leg drops, adds) and the soft handoff overhead (for example, messaging processing, bandwidth) in terms of number of legs and network infrastructure processing. Based on our observations of the aforementioned performance metrics, we provide recommendations on handoff algorithms and parameter values. These recommendations would enable a CDMA system to retain quality while achieving handoff efficiency that improves cell-site capacity. The results from our simulations provide significant insight into the handoff management for IS-95 systems, as well as for future third-generation (3G) systems.

Handoff algorithms based on fuzzy classifiers

One method to increase capacity in mobile communications systems is to decrease the cell size or service area. However, due to this area reduction, a mobile will pass through more cells during a call. To maintain the reliability of the system, the success rate of call transfers must increase as the cell area diminishes, preventing a ping-pong effect. Hence new and better handoff algorithms must be developed. Fuzzy classifier schemes are proposed in this paper in order to select the base stations that will best serve mobiles in a typical cellular system. The performance of handoff algorithms based on different classification techniques is discussed and evaluated through digital simulation. The results show better cell definition than the conventional handoff approach. For large-variance propagation channels, a reduction in the handoff number can be achieved. The applicability of the proposed methodology is also discussed.