Zobrazeno 1 - 10
of 175
pro vyhledávání: '"Chen, Chung Shue"'
We investigate coding schemes that map source symbols into multisets of an alphabet set. Such a formulation of source coding is an alternative approach to the traditional framework and is inspired by an object tracking problem over proximity sensor n
Externí odkaz:
http://arxiv.org/abs/2410.15428
Urban congestion remains a critical challenge, with traffic signal control (TSC) emerging as a potent solution. TSC is often modeled as a Markov Decision Process problem and then solved using reinforcement learning (RL), which has proven effective. H
Externí odkaz:
http://arxiv.org/abs/2407.06025
We consider the design of a positioning system where a robot determines its position from local observations. This is a well-studied problem of considerable practical importance and mathematical interest. The dominant paradigm derives from the classi
Externí odkaz:
http://arxiv.org/abs/2404.09981
Traffic congestion in metropolitan areas presents a formidable challenge with far-reaching economic, environmental, and societal ramifications. Therefore, effective congestion management is imperative, with traffic signal control (TSC) systems being
Externí odkaz:
http://arxiv.org/abs/2403.08337
Time-to-event analysis is a branch of statistics that has increased in popularity during the last decades due to its many application fields, such as predictive maintenance, customer churn prediction and population lifetime estimation. In this paper,
Externí odkaz:
http://arxiv.org/abs/2403.07460
Publikováno v:
GLOBECOM 2022 - 2022 IEEE Global Communications Conference, Dec 2022, Rio de Janeiro, France. pp.3053-3058
Beyond 5G wireless technology Cell-Free Massive MIMO (CFmMIMO) downlink relies on carefully designed precoders and power control to attain uniformly high rate coverage. Many such power control problems can be calculated via second order cone programm
Externí odkaz:
http://arxiv.org/abs/2403.12062
During the last decade, wireless data services have had an incredible impact on people's lives in ways we could never have imagined. The number of mobile devices has increased exponentially and data traffic has almost doubled every year. Undoubtedly,
Externí odkaz:
http://arxiv.org/abs/2401.01608
Autor:
Liu, Qiong, Zhang, Tianzhu, Hemmatpour, Masoud, Qiu, Han, Zhang, Dong, Chen, Chung Shue, Mellia, Marco, Aghasaryan, Armen
Modern Artificial Intelligence (AI) technologies, led by Machine Learning (ML), have gained unprecedented momentum over the past decade. Following this wave of "AI summer", the network research community has also embraced AI/ML algorithms to address
Externí odkaz:
http://arxiv.org/abs/2303.04073
Autor:
Zhang, Tianzhu, Qiu, Han, Castellano, Gabriele, Rifai, Myriana, Chen, Chung Shue, Pianese, Fabio
Modern information and communication systems have become increasingly challenging to manage. The ubiquitous system logs contain plentiful information and are thus widely exploited as an alternative source for system management. As log files usually e
Externí odkaz:
http://arxiv.org/abs/2212.14277
Non-orthogonal multiple access (NOMA) is a technology proposed for next generation cellular networks because of its high spectral efficiency and enhanced user connectivity. However, in the literature the optimal joint power and sub-carrier allocation
Externí odkaz:
http://arxiv.org/abs/2204.00120