Zobrazeno 1 - 10
of 2 229
pro vyhledávání: '"P. Skoglund"'
In this paper, we investigate the performance of an integrated sensing and communication (ISAC) system within a cell-free massive multiple-input multiple-output (MIMO) system. Each access point (AP) operates in the millimeter-wave (mmWave) frequency
Externí odkaz:
http://arxiv.org/abs/2411.08759
Autor:
Bongole, Raghav, Gouverneur, Amaury, Rodríguez-Gálvez, Borja, Oechtering, Tobias J., Skoglund, Mikael
We study agents acting in an unknown environment where the agent's goal is to find a robust policy. We consider robust policies as policies that achieve high cumulative rewards for all possible environments. To this end, we consider agents minimizing
Externí odkaz:
http://arxiv.org/abs/2410.16013
In this paper, we present SCOREQ, a novel approach for speech quality prediction. SCOREQ is a triplet loss function for contrastive regression that addresses the domain generalisation shortcoming exhibited by state of the art no-reference speech qual
Externí odkaz:
http://arxiv.org/abs/2410.06675
Autor:
Zamani, Amirreza, Skoglund, Mikael
This paper provides an overview of a problem in information-theoretic privacy mechanism design, addressing two scenarios in which private data is either observable or hidden. In each scenario, different privacy measures are used, including bounded mu
Externí odkaz:
http://arxiv.org/abs/2410.05033
Integrated sensing and communications (ISAC) is a promising component of 6G networks, fusing communication and radar technologies to facilitate new services. Additionally, the use of extremely large-scale antenna arrays (ELLA) at the ISAC common rece
Externí odkaz:
http://arxiv.org/abs/2410.04930
Autor:
Zamani, Amirreza, Skoglund, Mikael
A statistical cache-aided compression problem with a privacy constraint is studied, where a server has access to a database of $N$ files, $(Y_1,...,Y_N)$, each of size $F$ bits and is linked through a shared channel to $K$ users, where each has acces
Externí odkaz:
http://arxiv.org/abs/2409.20133
In this article, we study the fundamental limits in the design of fair and/or private representations achieving perfect demographic parity and/or perfect privacy through the lens of information theory. More precisely, given some useful data $X$ that
Externí odkaz:
http://arxiv.org/abs/2408.13168
We investigate the in-distribution generalization of machine learning algorithms. We depart from traditional complexity-based approaches by analyzing information-theoretic bounds that quantify the dependence between a learning algorithm and the train
Externí odkaz:
http://arxiv.org/abs/2408.13275
This paper characterizes the trade-offs between information and energy transmission over an additive white Gaussian noise channel in the finite block-length regime with finite channel input symbols. These trade-offs are characterized in the form of i
Externí odkaz:
http://arxiv.org/abs/2408.07807
Autor:
Kim, Minje, Skoglund, Jan
This paper explores the integration of model-based and data-driven approaches within the realm of neural speech and audio coding systems. It highlights the challenges posed by the subjective evaluation processes of speech and audio codecs and discuss
Externí odkaz:
http://arxiv.org/abs/2408.06954