
Reinforce Security: A ModelFree Approach Towards Secure Wiretap Coding
The use of deep learningbased techniques for approximating secure encod...
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Measure Concentration on the OFDMbased Random Access Channel
It is well known that CS can boost massive random access protocols. Usua...
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Hierarchical sparse recovery from hierarchically structured measurements with application to massive random access
A new family of operators, coined hierarchical measurement operators, is...
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Hierarchical compressed sensing
Compressed sensing is a paradigm within signal processing that provides ...
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ComPass: Proximity Aware Common Passphrase Agreement Protocol for WiFi devices Using Physical Layer Security
Secure and scalable device provisioning is a notorious challenge in WiF...
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Neural Mutual Information Estimation for Channel Coding: StateoftheArt Estimators, Analysis, and Performance Comparison
Deep learning based physical layer design, i.e., using dense neural netw...
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Hierarchical sparse recovery from hierarchically structured measurements
A new class of measurement operators for structured compressed sensing p...
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Application of the Method of Conditional Expectations for Reduction of PAPR and Cubic Metric of OFDM Signals
The OFDM waveform exhibits high fluctuation in the signal envelope, whic...
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Predictive Network Control in MultiConnectivity Mobility for URLLC Services
This paper proposes a centralized predictive flow controller to handle m...
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The Method of Conditional Expectations for Cubic Metric Reduction in OFDM
High variations in the OFDM signal envelope cause nonlinear distortion i...
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NonCoherent Joint Transmission in Poisson Cellular Networks Under Pilot Contamination
This paper investigates the performance of downlink cellular networks wi...
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Deep Learning for Channel Coding via Neural Mutual Information Estimation
Endtoend deep learning for communication systems, i.e., systems whose ...
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WiFiBased Indoor Localization via MultiBand Splicing and Phase Retrieval
We study the problem of indoor localization using commodity WiFi channel...
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Deep Learning for the Gaussian Wiretap Channel
Endtoend learning of communication systems with neural networks and pa...
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Performance of Hierarchical Sparse Detectors for Massive MTC
Recently, the Hierarchical Hard Thresholding Pursuit (HiHTP) algorithm w...
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LowOverhead HierarchicallySparse Channel Estimation for Multiuser Wideband Massive MIMO
The problem of excessive pilot overhead required for uplink massive MIMO...
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Wideband Massive MIMO Channel Estimation via Sequential Atomic Norm Minimization
The recently introduced atomic norm minimization (ANM) framework for par...
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Towards Massive Connectivity Support for Scalable mMTC Communications in 5G networks
The fifth generation of cellular communication systems is foreseen to en...
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Hierarchical Sparse Channel Estimation for Massive MIMO
The problem of wideband massive MIMO channel estimation is considered. T...
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Secure Massive IoT Using Hierarchical Fast Blind Deconvolution
The Internet of Things and specifically the Tactile Internet give rise t...
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On the Gaussian Multiple Access Wiretap Channel and the Gaussian Wiretap Channel with a Helper: Achievable Schemes and Upper Bounds
We study deterministic approximations of the Gaussian twouser multiple ...
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Compressive Estimation of a Stochastic Process with Unknown Autocorrelation Function
In this paper, we study the prediction of a circularly symmetric zerome...
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Gerhard Wunder
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