Zobrazeno 1 - 10
of 2 483
pro vyhledávání: '"Jamalipour, A"'
Autor:
Cui, Qimei, You, Xiaohu, Wei, Ni, Nan, Guoshun, Zhang, Xuefei, Zhang, Jianhua, Lyu, Xinchen, Ai, Ming, Tao, Xiaofeng, Feng, Zhiyong, Zhang, Ping, Wu, Qingqing, Tao, Meixia, Huang, Yongming, Huang, Chongwen, Liu, Guangyi, Peng, Chenghui, Pan, Zhiwen, Sun, Tao, Niyato, Dusit, Chen, Tao, Khan, Muhammad Khurram, Jamalipour, Abbas, Guizani, Mohsen, Yuen, Chau
With the increasing demand for seamless connectivity and intelligent communication, the integration of artificial intelligence (AI) and communication for sixth-generation (6G) network is emerging as a revolutionary architecture. This paper presents a
Externí odkaz:
http://arxiv.org/abs/2412.14538
Large Language Models (LLMs) have demonstrated remarkable capabilities in various tasks, leading to their increasing adoption in diverse services delivered through wireless networks. There is a growing trend toward longer prompts to better leverage L
Externí odkaz:
http://arxiv.org/abs/2412.03621
Large Language Models (LLMs) have demonstrated remarkable capabilities in various tasks, leading to their increasing deployment in wireless networks for a wide variety of user services. However, the growing longer prompt setting highlights the crucia
Externí odkaz:
http://arxiv.org/abs/2411.18010
Autor:
Sun, Geng, Wu, Jiaxu, Sun, Zemin, He, Long, Wang, Jiacheng, Niyato, Dusit, Jamalipour, Abbas, Mao, Shiwen
In the era of the sixth generation (6G) and industrial Internet of Things (IIoT), an industrial cyber-physical system (ICPS) drives the proliferation of sensor devices and computing-intensive tasks. To address the limited resources of IIoT sensor dev
Externí odkaz:
http://arxiv.org/abs/2411.04762
Autor:
Zhang, Hanwen, Niyato, Dusit, Zhang, Wei, Zhao, Changyuan, Du, Hongyang, Jamalipour, Abbas, Sun, Sumei, Pei, Yiyang
With the advancements of generative artificial intelligence (GenAI) models, their capabilities are expanding significantly beyond content generation and the models are increasingly being used across diverse applications. Particularly, GenAI shows gre
Externí odkaz:
http://arxiv.org/abs/2409.15750
Autor:
Xu, Jingran, Wang, Huizhi, Zeng, Yong, Xu, Xiaoli, Wu, Qingqing, Yang, Fei, Chen, Yan, Jamalipour, Abbas
Integrated super-resolution sensing and communication (ISSAC) has emerged as a promising technology to achieve extremely high precision sensing for those key parameters, such as the angles of the sensing targets. In this paper, we propose an efficien
Externí odkaz:
http://arxiv.org/abs/2407.20607
The increasing demand for sensing, collecting, transmitting, and processing vast amounts of data poses significant challenges for resource-constrained mobile users, thereby impacting the performance of wireless networks. In this regard, from a case o
Externí odkaz:
http://arxiv.org/abs/2407.15483
Autor:
Geng, Yuanzhe, Liu, Erwu, Ni, Wei, Wang, Rui, Liu, Yan, Xu, Hao, Cai, Chen, Jamalipour, Abbas
This paper aims to balance performance and cost in a two-hop wireless cooperative communication network where the source and relays have contradictory optimization goals and make decisions in a distributed manner. This differs from most existing work
Externí odkaz:
http://arxiv.org/abs/2406.11265
Autor:
Sun, Pengcheng, Liu, Erwu, Ni, Wei, Yu, Kanglei, Qu, Xinyu, Wang, Rui, Bi, Yanlong, Zhang, Chuanchun, Jamalipour, Abbas
Non-independent and identically distributed (Non- IID) data adversely affects federated learning (FL) while heterogeneity in communication quality can undermine the reliability of model parameter transmission, potentially degrading wireless FL conver
Externí odkaz:
http://arxiv.org/abs/2405.09276
In this paper, we propose a movable antenna (MA) enhanced scheme for wireless powered mobile edge computing (WP-MEC) system, where the hybrid access point (HAP) equipped with multiple MAs first emits wireless energy to charge wireless devices (WDs),
Externí odkaz:
http://arxiv.org/abs/2404.18406