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In this paper, we investigate a cooperative system consisting of one source-destination pair equipped with single antenna and L relays equipped with M antennas as wireless access points. We propose a new relay selection scheme for this system based on partial relay selection, where the best relay is selected according to the instantaneous and one-hop channel state information (CSI). We use maximal...
To address the problems of high sampling rates, shadow fading and additive noise from the receiver, in this paper, a distributed compressed sampling (DCS) and centralized reconstruction approach which utilize the spatial diversity against fading channels is proposed. Unlike traditional centralized reconstruction, in this paper, we centralized recover the spectrums by exploiting the block-sparsity...
This paper presents a novel Distributed Streaming Compressive Spectrum Sensing (DSCSS) algorithm for wide-band spectrum sensing under decentralized cognitive radio network (CRN) scenario. In contrary to traditional compressive sensing (CS) that only focuses on fixed-length signal's compressive sampling and reconstruction, DSCSS follows streaming CS framework, where Analog-to-Information Converter...
In traditional compressive sampling approach, it's always assumed the sparsity of a signal is known. However, we always can't get this in Cognitive Radio (CR) network. This makes a great barrier to the practical usage of compressive sampling. This paper develops an Adaptive Compressive Sampling (ACS) approach for wideband signals. It doesn't need the sparsity as a priori knowledge. Also, once the...
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