
Designing IRSAided MIMO Systems for Secrecy Enhancement
Intelligent reflecting surfaces (IRSs) enable multipleinput multipleou...
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Oversampled Adaptive Sensing via a Predefined Codebook
Oversampled adaptive sensing (OAS) is a Bayesian framework recently prop...
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Linear Computation Coding
We introduce the new concept of computation coding. Similar to how rate...
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Detection of Spatially Modulated Signals via RLS: Theoretical Bounds and Applications
This paper characterizes the performance of massive multiuser spatial mo...
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Secure Transmission in IRSAssisted MIMO Systems with Active Eavesdroppers
This work studies secure transmission in intelligent reflecting surfaces...
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A SingleRF Architecture for Multiuser Massive MIMO via Reflecting Surfaces
In this work, we propose a new singleRF MIMO architecture which enjoys ...
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Efficient Matrix Multiplication: The Sparse Powerof2 Factorization
We present an algorithm to reduce the computational effort for the multi...
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An Adaptive Bayesian Framework for Recovery of Sources with Structured Sparsity
In oversampled adaptive sensing (OAS), noisy measurements are collected ...
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Robustness of LowComplexity Massive MIMO Architectures Against Passive Eavesdropping
Invoking large transmit antenna arrays, massive MIMO wiretap settings ar...
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Secure Regularized Zero Forcing for Multiuser MIMOME Channels
This paper proposes a new linear precoding scheme for downlink transmiss...
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PAPRLimited Precoding in Massive MIMO Systems with Reflect and TransmitArray Antennas
Conventional hybrid analogdigital architectures for millimeterwave mas...
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Joint User Selection and Precoding in Multiuser MIMO Systems via Group LASSO
Joint user selection and precoding in multiuser MIMO settings can be int...
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RLS Precoding for Massive MIMO Systems with Nonlinear FrontEnd
To keep massive MIMO systems costefficient, power amplifiers with rathe...
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RLSBased Detection for Massive Spatial Modulation MIMO
Most detection algorithms in spatial modulation (SM) are formulated as l...
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A Fair Comparison Between Spatial Modulation and Antenna Selection in Massive MIMO Systems
Both antenna selection and spatial modulation allow for lowcomplexity M...
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Oversampled Adaptive Sensing with Random Projections: Analysis and Algorithmic Approaches
Oversampled adaptive sensing (OAS) is a recently proposed Bayesian frame...
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On Robustness of Massive MIMO Systems Against Passive Eavesdropping under Antenna Selection
In massive MIMO wiretap settings, the base station can significantly sup...
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GLSE Precoders for Massive MIMO Systems: Analysis and Applications
This paper proposes the class of Generalized LeastSquareError (GLSE) p...
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Iterative Antenna Selection for Secrecy Enhancement in Massive MIMO Wiretap Channels
The growth of interest in massive MIMO systems is accompanied with hardw...
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RLS Recovery with Asymmetric Penalty: Fundamental Limits and Algorithmic Approaches
This paper studies regularized least square recovery of signals whose sa...
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Theoretical Bounds on MAP Estimation in Distributed Sensing Networks
The typical approach for recovery of spatially correlated signals is reg...
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Optimal Transmit Antenna Selection for Massive MIMO Wiretap Channels
In this paper, we study the impacts of transmit antenna selection on the...
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MaximumAPosteriori Signal Recovery with Prior Information: Applications to Compressive Sensing
This paper studies the asymptotic performance of maximumaposteriori es...
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Stepwise Transmit Antenna Selection in Downlink Massive Multiuser MIMO
Due to the large power consumption in RFcircuitry of massive MIMO syste...
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Oversampled Adaptive Sensing
We develop a Bayesian framework for sensing which adapts the sensing tim...
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Precoding via Approximate Message Passing with Instantaneous Signal Constraints
This paper proposes a low complexity precoding algorithm based on the re...
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Ali Bereyhi
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