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This paper addresses the robust transceiver optimization in multiple-input and multiple-output cognitive radio network, where primary users (PUs) and secondary users (SUs) coexist in the same spectrum band. In the design of cognitive system, the performance degradation perceived by PU should be strictly restricted even with imperfect channel state information (CSI) at cognitive transmitter and receivers...
This paper introduces a new framework of the multiple-input multiple-output (MIMO) detection in iterative receivers. Unlike the conventional methods processing with symbol lattice, we consider the delta symbol lattice, i.e., the difference between two arbitrary points in the symbol lattice. The inherent flexible, symmetric, and sparse properties of the delta lattice enhance the detection in both complexity...
In this paper, we investigate the convergence behavior of code-aided channel estimation, also denoted as joint iterative channel estimation and decoding. A mutual information transfer chart is introduced in order to trace the information exchange between channel estimator and decoder throughout the iterative process. Furthermore, a heuristic concept to improve code-aided channel estimation is introduced...
In this paper, we examine synchronization of large carrier frequency offsets in low signal-to-noise ratio (SNR) environments. We show that a misadjustment of the receive filter in terms of its center frequency involves a significant SNR degradation that cannot be compensated for after receive filtering. In order to avoid degradations in the bit error rate of the system, we propose an iterative approach...
A method to establish a time synchronization for base stations in a cellular network is derived based on the maximum likelihood estimation principle. Its performance is analyzed and compared to a heuristic technique from the literature. The main feature of these synchronization algorithms is that a time synchronization of the base stations is achieved by measurements from the users in the downlinks...
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