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06/23/2023
A Proof of the Weak Simplex Conjecture
We solve a long-standing open problem about the optimal codebook structu...
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06/23/2023
A Weighted Autoencoder-Based Approach to Downlink NOMA Constellation Design
End-to-end design of communication systems using deep autoencoders (AEs)...
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02/15/2023
Learning Random Access Schemes for Massive Machine-Type Communication with MARL
In this paper, we explore various multi-agent reinforcement learning (MA...
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05/24/2022
Beam Aware Stochastic Multihop Routing for Flying Ad-hoc Networks
Routing is a crucial component in the design of Flying Ad-Hoc Networks (...
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05/04/2022
Collision Resolution with Deep Reinforcement Learning for Random Access in Machine-Type Communication
Grant-free random access (RA) techniques are suitable for machine-type c...
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01/24/2022
Deep Reinforcement Learning for Random Access in Machine-Type Communication
Random access (RA) schemes are a topic of high interest in machine-type ...
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10/01/2021
A Unified Discretization Approach to Compute-Forward: From Discrete to Continuous Inputs
Compute-forward is a coding technique that enables receiver(s) in a netw...
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06/10/2019
Non-Coherent Rate Splitting for the MISO BC with Magnitude CSIT
A rate splitting based scheme is proposed to operate a broadcast setting...
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01/10/2019
Towards an Algebraic Network Information Theory: Simultaneous Joint Typicality Decoding
Consider a receiver in a multi-user network that wishes to decode severa...
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11/29/2018
Locally Differentially-Private Randomized Response for Discrete Distribution Learning
We consider a setup in which confidential i.i.d. samples X_1,,X_n from a...
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05/29/2018
Neural Network Aided Decoding for Physical-Layer Network Coding Random Access
Hinging on ideas from physical-layer network coding, some promising prop...
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04/19/2018
A Simple Capacity Lower Bound for Communication with Superimposed Pilots
We present a novel closed-form lower bound on the Gaussian-input mutual ...
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12/29/2017