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In a multipath fading channel of DVB-S2, smallscalevariations occur due to unwanted noise signal, which isdirectly related to the impulse response of a radio channel. Thevarying channel has to be estimated before decoding the signal atthe receiver for proper signal recovery. However, In the presenceof a time varying and correlated phase noise, proper estimation ofthe Channel Impulse Response (CIR) becomes difficult. Toovercome this problem, a pilot-aided joint channel estimation anddecoding method is proposed to obtain the initial estimate of thechannel. This technique is reliable and important for satellitecommunication as the Ku-band capacity is almost over crowdedand more satellite resources are needed. The results show thatIterative Channel Estimation technique results in a lower BER andimproved signal quality for DVB-S2, which fine-tunes the systemfor an efficient use of power and bandwidth of satellite resources.

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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.

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