Shahram Zarei

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Abstract—In this work, we present a low-complexity linear precoding scheme for downlink large-scale multiple-input multiple-output (MIMO) systems. The proposed scheme can achieve near minimum mean square error (MMSE) precoding performance in terms of the sum rate and is based on a matrix polynomial instead of matrix inversion. Simulation results show that(More)
An algorithm for iterative demodulation and decoding of convolutionally coded and interleaved Continuous Phase Frequency Shift Keying (CPFSK) signals with an irrational modulation index is presented. The algorithm is based on integrating the Per-Survivor Processing (PSP) technique into a Soft-Input Soft-Output (SISO) CPFSK demodulator. Using PSP, the phase(More)
In-phase/quadrature-phase (I/Q) imbalance is one of the most important hardware impairments in communication systems. It arises in the analogue parts of direct conversion radio frequency (RF) transceivers and can cause severe performance losses. In this paper, I/Q imbalance (IQI) aware widelylinear (WL) channel estimation and data detection schemes for(More)
In this letter, we present a widely-linear minimum mean square error (WL-MMSE) precoding scheme employing real-valued transmit symbols for downlink large-scale multi-user multiple-input single-output (MU-MISO) systems. In contrast to the existing WL-MMSE transceivers for single-user multipleinput multiple-output (SU-MIMO) systems, which use both WL(More)
In this paper, we propose an uplink/downlink duality framework for multi-cell multi-user multiple-input multipleoutput (MU-MIMO) systems with residual hardware impairments (HWIs) at the base station and the user terminals. By employing the proposed uplink/downlink duality framework, complex downlink optimization problems can be transformed to equivalent(More)