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Sum-Rate Capacity for Symmetric Gaussian Multiple Access Channels With Feedback

Michael Christoph Gastpar, Erixhen Sula

The feedback sum-rate capacity is established for the symmetric

J

-user Gaussian multiple-access channel (GMAC). The main contribution is a converse bound that combines the dependence-balance argument of Hekstra and Willems (1989) with a variant of the f ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Théorie de l'information

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Mutual Information and Optimality of Approximate Message-Passing in Random Linear Estimation

Robust Generalization via f−Mutual Information

Single-server Multi-message Private Information Retrieval with Side Information: the General Cases

Sum-Rate Capacity for Symmetric Gaussian Multiple Access Channels With Feedback

Existence of a Spectral Gap in the Affleck-Kennedy-Lieb-Tasaki Model on the Hexagonal Lattice

Lane Detection and Lane Changing Phenomena Identification with Data from a Swarm of Drones

Exploiting Errors for Efficiency: A Survey from Circuits to Applications

On Maintaining Linear Convergence of Distributed Learning and Optimization Under Limited Communication

On the Universality of Low-Density Parity-Check Block Codes

On quantifying the quality of acoustic models in hybrid DNN-HMM ASR

Single-server Multi-message Private Information Retrieval with Side Information: the General Cases

Mutual Information and Optimality of Approximate Message-Passing in Random Linear Estimation

Sum-Rate Capacity for Symmetric Gaussian Multiple Access Channels With Feedback

Robust Generalization via f−Mutual Information

Existence of a Spectral Gap in the Affleck-Kennedy-Lieb-Tasaki Model on the Hexagonal Lattice

On Maintaining Linear Convergence of Distributed Learning and Optimization Under Limited Communication

Exploiting Errors for Efficiency: A Survey from Circuits to Applications

On the Universality of Low-Density Parity-Check Block Codes

Lane Detection and Lane Changing Phenomena Identification with Data from a Swarm of Drones

On quantifying the quality of acoustic models in hybrid DNN-HMM ASR