Zobrazeno 1 - 10
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pro vyhledávání: '"Lin, Shih‐Chun"'
Autor:
Shahriar, Mohammad Sajid, Subramaniam, Suresh, Matsuura, Motoharu, Hasegawa, Hiroshi, Lin, Shih-Chun
In the realms of the internet of vehicles (IoV) and intelligent transportation systems (ITS), software defined vehicular networks (SDVN) and edge computing (EC) have emerged as promising technologies for enhancing road traffic efficiency. However, th
Externí odkaz:
http://arxiv.org/abs/2409.04622
Autor:
Vahid, Alireza, Lin, Shih-Chun
Movable antennas and reconfigurable intelligent surfaces enable a new paradigm in which channel statistics can be controlled and altered. Further, the known trajectory and operation protocol of communication satellites results in networks with predic
Externí odkaz:
http://arxiv.org/abs/2405.18497
Autor:
Ahmed, Faisal, Lee, Myungjin, Subramaniam, Suresh, Matsuura, Motoharu, Hasegawa, Hiroshi, Lin, Shih-Chun
Federated Learning (FL) has garnered significant interest recently due to its potential as an effective solution for tackling many challenges in diverse application scenarios, for example, data privacy in network edge traffic classification. Despite
Externí odkaz:
http://arxiv.org/abs/2404.08028
Autor:
Shahriar, Mohammad Sajid, Ahmed, Faisal, Chen, Genshe, Pham, Khanh D., Subramaniam, Suresh, Matsuura, Motoharu, Hasegawa, Hiroshi, Lin, Shih-Chun
This letter indicates the critical need for prioritized multi-tenant quality-of-service (QoS) management by emerging mobile edge systems, particularly for high-throughput beyond fifth-generation networks. Existing traffic engineering tools utilize co
Externí odkaz:
http://arxiv.org/abs/2403.15975
Next-generation wireless systems aim at fulfilling diverse application requirements but fundamentally rely on point-to-point transmission qualities. Aligning with recent AI-enabled wireless implementations, this paper introduces autonomic radios, 6G-
Externí odkaz:
http://arxiv.org/abs/2206.03250
Industry 4.0-enabled smart factory is expected to realize the next revolution for manufacturers. Although artificial intelligence (AI) technologies have improved productivity, current use cases belong to small-scale and single-task operations. To unb
Externí odkaz:
http://arxiv.org/abs/2204.12605
Modern connected vehicles (CVs) frequently require diverse types of content for mission-critical decision-making and onboard users' entertainment. These contents are required to be fully delivered to the requester CVs within stringent deadlines that
Externí odkaz:
http://arxiv.org/abs/2202.07792
Autor:
Lin, Shih-Chun, Lin, Chia-Hung
In the last decade, data-driven algorithms outperformed traditional optimization-based algorithms in many research areas, such as computer vision, natural language processing, etc. However, extensive data usages bring a new challenge or even threat t
Externí odkaz:
http://arxiv.org/abs/2111.14955