Zobrazeno 1 - 10
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pro vyhledávání: '"Hassan Sheikh"'
In this paper, a novel generative adversarial imitation learning (GAIL)-powered policy learning approach is proposed for optimizing beamforming, spectrum allocation, and remote user equipment (RUE) association in NTNs. Traditional reinforcement learn
Externí odkaz:
http://arxiv.org/abs/2409.18718
Autor:
Nguyen, Loc X., Hassan, Sheikh Salman, Tun, Yan Kyaw, Kim, Kitae, Han, Zhu, Hong, Choong Seon
The sixth-generation (6G) non-terrestrial networks (NTNs) are crucial for real-time monitoring in critical applications like disaster relief. However, limited bandwidth, latency, rain attenuation, long propagation delays, and co-channel interference
Externí odkaz:
http://arxiv.org/abs/2409.14726
Earth observation satellites generate large amounts of real-time data for monitoring and managing time-critical events such as disaster relief missions. This presents a major challenge for satellite-to-ground communications operating under limited ba
Externí odkaz:
http://arxiv.org/abs/2408.03959
Autor:
Park, Yu Min, Hassan, Sheikh Salman, Tun, Yan Kyaw, Huh, Eui-Nam, Saad, Walid, Hong, Choong Seon
Non-orthogonal multiple access (NOMA) enables multiple users to share the same frequency band, and simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) provides 360-degree full-space coverage, optimizing both trans
Externí odkaz:
http://arxiv.org/abs/2406.13280
Autor:
Nguyen, Loc X., Kim, Kitae, Tun, Ye Lin, Hassan, Sheikh Salman, Tun, Yan Kyaw, Han, Zhu, Hong, Choong Seon
Semantic communication, notable for ensuring quality of service by jointly optimizing source and channel coding, effectively extracts data semantics, reduces transmission length, and mitigates channel noise. However, most studies overlook multi-user
Externí odkaz:
http://arxiv.org/abs/2406.03773
Satellite systems face a significant challenge in effectively utilizing limited communication resources to meet the demands of ground network traffic, characterized by asymmetrical spatial distribution and time-varying characteristics. Moreover, the
Externí odkaz:
http://arxiv.org/abs/2307.15469
Autor:
Hassan, Sheikh Md Shakeel, Feeney, Arthur, Dhruv, Akash, Kim, Jihoon, Suh, Youngjoon, Ryu, Jaiyoung, Won, Yoonjin, Chandramowlishwaran, Aparna
In the field of phase change phenomena, the lack of accessible and diverse datasets suitable for machine learning (ML) training poses a significant challenge. Existing experimental datasets are often restricted, with limited availability and sparse g
Externí odkaz:
http://arxiv.org/abs/2307.14623
The proliferation of intelligent transportation systems (ITS) has led to increasing demand for diverse network applications. However, conventional terrestrial access networks (TANs) are inadequate in accommodating various applications for remote ITS
Externí odkaz:
http://arxiv.org/abs/2212.05757
Publikováno v:
Africa Confidential. 4/12/2024, Vol. 65 Issue 8, p16-17. 2p.
THz band communication technology will be used in the 6G networks to enable high-speed and high-capacity data service demands. However, THz-communication losses arise owing to limitations, i.e., molecular absorption, rain attenuation, and coverage ra
Externí odkaz:
http://arxiv.org/abs/2209.07228