1. Introduction Ultra high-speed data transmission capability will be required in the next generation wireless communication systems in a severe frequency-selective fading channel [1]. In a mobile radio channel, the transmitted signal is reflected and diffracted by many obstacles and is received as a multipath signal with different time delays at a receiver, thus creating the frequency-selectiv...

In this paper, the application of combinatorial geometry to noncoherent multiple–symbol differential detection (MSDD) is considered. The resulting algorithm is referred to as CG–MSDD. Analytical expressions for both the complexity and the error–rate performance of CG–MSDD are derived and it is shown that its complexity is polynomial in the length N of the MSDD observation window if the rank of ...

In wireless cellular communications, accurate local mean (shadow) power estimation performed at a mobile station is important for use in power control, handoff, and adaptive transmission. Window-based weighted sample average shadow power estimators are commonly used due to their simplicity. In practice, the performance of these estimators degrades severely when the window size deviates beyond a...

In Orthogonal Frequency Division Multiplexing (OFDM) carriers are orthogonally related and hence no guard band is necessary like in Frequency Division Multiplexing (FDM). So spectrums of users can overlap which enhances the spectrum efficiency of the network. In this thesis one of the main concern of OFDM, inter carrier interference (ICI) is considered using different window functions in freque...

Recently, overlap frequency-domain equalization (FDE) based on minimum mean square error (MMSE) criterion which requires no guard interval (GI) insertion was proposed for signal transmission using multi-code direct sequence code division multiple access (DS-CDMA) in a frequency-selective fading channel. Another promising equalization technique is time-domain sliding-window chip equalization (SW...

Wireless communication between vehicles enables both safety applications, such as accident avoidance, and nonsafety applications, such as traffic congestion alerts [1] with the intent of improving safety in driving conditions. Because the high costs of implementing limited test-bed environments constrain prototype testing, VANET researchers often turn instead to simulation toolsets from which a...

Todays, in many modern applications, we search for frequent and repeating patterns in the analyzed data sets. In this search, we look for patterns that frequently appear in data set and mark them as frequent patterns to enable users to make decisions based on these discoveries. Most algorithms presented in the context of data stream mining and frequent pattern detection, work either on uncertai...

Mining streams is a challenging problem, because the data can only be looked at once, and only small summaries of the data can be stored. We present a new frequency measure for items in streams that does not rely on a fixed window length or a time-decaying factor. Based on the properties of the measure, an algorithm to compute it is shown. Experimental evaluation supports the claim that the new...

This study proposes a novel power-efficient and anti-fading clustering based on a cross-layer that is specific to the time-varying fading characteristics of channels in the monitoring of coal mine faces with wireless sensor networks. The number of active sensor nodes and a sliding window are set up such that the optimal number of cluster heads (CHs) is selected in each round. Based on a stable ...