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Prior work in implementing spectrum sharing scenarios for cognitive radio networks has relied on the unlikely assumption of full cross-channel knowledge made available to the cognitive transmitter (CT) and/or the target primary receiver (PR). However, estimation of this cross-channel knowledge is not only important from a practical stand-point, but also in limiting the real interference power felt...
In this paper, we consider channel estimation for amplify-and-forward (AF) relay network with orthogonal frequency division multiplexing (OFDM) modulation. We propose a superimposed training strategy at relay that allows the destination node to obtain the separate channel information of the source-->relay link and the relay-->destination link. The proposed training strategy only requires two...
In this paper, we consider the problem of channel estimation for two-way relay networks (TWRN) under timeselective environment. We first parameterize the time-varying channels by the basis expansion model (BEM) and then propose a novel pilot symbol aided modulation (PSAM) for TWRN. A linear approach to estimate the cascaded channels is designed and the optimal training sequences are derived based...
In recent years, ``folksonomy''-like systems such as Delicious Social Bookmarking have achieved huge success. User collaboration is the defining characteristic of such systems. For indoor positioning mechanisms, we argue that it is also possible to incorporate collaboration in order to improve system performance, especially for fingerprinting based approaches. In this paper, we propose a robust and...
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