PROJECT TITLE :
Downlink Synchronization Techniques for Heterogeneous Cellular Networks
Base stations (BS) in an exceedingly cellular network send unique synchronization signals based mostly on their physical layer cell-identity, in every frame. To synchronize with a BS, a mobile terminal (MT) wants to identify the following synchronization parameters—beginning time of the frame, relative frequency offset and also the cell-identity of the corresponding BS. In an exceedingly heterogeneous cellular network, thanks to the increased density of low-powered base stations, the MT receives signals from multiple BS in its vicinity. We think about the downlink synchronization problem where the MT tries to recover the synchronization parameters of all the BS in its neighborhood, using which, MT can subsequently select the suitable BS for its connection. In any given situation, the quantity of BS in the neighborhood of MT is comparatively little compared to the whole number of BS in the complete network. Exploiting this sparseness, we tend to present a 2-stage synchronization approach where the first stage identifies the frame timing using an approximation to the most probability detector and also the second stage recovers the cell identities and also the corresponding frequency offsets of all the neighborhood BS using block sparse signal recovery framework of compressive sensing. We analytically and numerically study the recovery guarantees of our proposed techniques and establish their superior performance over existing successive interference cancellation and matched filtering approaches.
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