Main Article Content
Seamless Handover, Active set, pilot pollution
In this paper we present a statistical approach to establish a more efficient mechanism to predict handover success probability on a link in a wireless Network. We develop formulations that are used in the analysis to determine a more effective approach that reduces soft handover occurrences hence reducing unnecessary Network resource consumption. This approach can exploit the soft handover overhead metric and by optimum dimensioning can estimate the active set responsiveness using conditional thresholds set in a given service area. Furthermore, we analyse load variation and the value of pilot power in a given cell and the effects of pilot pollution in a dynamic traffic environment. Results of the analysis are presented for the probability of handover success and plots of signal strength variation on selected links using defined site specific formulations.
Kim, I., & al., e. (2001). Performance analysis of Uplink handover searcher in asynchronous WCDMA system (Vol. 1). VTC.
M., E., & Zhao, L. (2009). Realistic user distribution and its impact on capacity and coverage for a WCDMA network. SARNOFF Symposium.
N., K., & al., e. (2010). Resource allocation for downlink cellular OFDMA systems - Part II: Practical algorithms and optimal reuse factor (Vol. 58). Signal Processing, IEEE Transactions.
Siomina, I., & Yuan, D. (2005). Soft handover overhead control in pilot power management in WCDMA networks (Vol. 3). VTC.
Xi-Jun, W., & al., e. (2010). Cell cluster based traffic load balancing in cooperative cellular networks. CCNC.
Yanmaz, E., & Tonguz, O. (2004). Dynamic load balancing and performance in cellular networks with multiple traffic types (Vol. 5). VTC IEEE.
Zhang, Y., & al, e. (2010). Peer selection for load balancing in 3G cellular networks. 2nd Internationa conference.