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12/16/2022
Control and Placement of Finite-Resolution Intelligent Surfaces in IoT Systems with Imperfect CSI
In this paper, we study the advantages of using reconfigurable intellige...
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01/10/2022
Reassembly Codes for the Chop-and-Shuffle Channel
We study the problem of retrieving data from a channel that breaks the i...
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10/06/2021
Coded Shotgun Sequencing
Most DNA sequencing technologies are based on the shotgun paradigm: many...
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05/14/2021
On the Stability Region of Intermittent Interference Networks
Recent information-theoretic studies have resulted in several interferen...
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05/08/2021
Distortion-Based Outer-Bounds for Channels with Rate-Limited Feedback
We present a new technique to obtain outer-bounds on the capacity region...
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05/01/2021
Content Delivery over Broadcast Erasure Channels with Distributed Random Cache
We study the content delivery problem between a transmitter and two rece...
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04/28/2021
Topological Content Delivery with Feedback and Random Receiver Cache
We study the problem of content delivery in two-user interference channe...
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05/29/2020
Erasure Broadcast Channels with Intermittent Feedback
Achievable data rates in wireless systems rely heavily on the available ...
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05/26/2020
Communicating over the Torn-Paper Channel
We consider the problem of communicating over a channel that randomly "t...
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05/15/2020
Embedding Information in Radiation Pattern Fluctuations
The radiation pattern of transmit antennas varies and fluctuates as rece...
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10/14/2019
Capacity Region of Erasure Broadcast Channels with Common Message and Feedback
Jolfaei et al. used feedback to create transmit signals that are simulta...
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06/14/2018
Ranking Recovery from Limited Comparisons using Low-Rank Matrix Completion
This paper proposes a new method for solving the well-known rank aggrega...
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05/21/2018
Kernel Pre-Training in Feature Space via m-Kernels
This paper presents a novel approach to kernel tuning. The method presen...
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05/02/2018
On the Degrees-of-Freedom of Two-Unicast Wireless Networks with Delayed CSIT
We characterize the degrees-of-freedom (DoF) region of a class of two-un...
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02/15/2018
Covariance Function Pre-Training with m-Kernels for Accelerated Bayesian Optimisation
The paper presents a novel approach to direct covariance function learni...
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01/09/2018