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20202026
most citedResource Optimization for Semantic-Aware Networks with Task Offloading

40 citations · 52 across the 20 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.IT2023

Free Space Optical Integrated Sensing and Communication Based on DCO-OFDM: Performance Metrics and Resource Allocation

Yunfeng Wen, Fang Yang, Jian Song +1

As one of the six usage scenarios of the sixth generation (6G) mobile communication system, integrated sensing and communication (ISAC) has garnered considerable attention, and num…

cs.NI2023★ 1 cited

Quantum-Assisted Online Task Offloading and Resource Allocation in MEC-Enabled Satellite-Aerial-Terrestrial Integrated Networks

Yu Zhang, Yanmin Gong, Lei Fan +3

In the era of Internet of Things (IoT), multi-access edge computing (MEC)-enabled satellite-aerial-terrestrial integrated network (SATIN) has emerged as a promising technology to p…

eess.SY2023★ 2 cited

Free Space Optical Communication for Inter-Satellite Link: Architecture, Potentials and Trends

Guanhua Wang, Fang Yang, Jian Song +1

The sixth-generation (6G) network is expected to achieve global coverage based on the space-air-ground integrated network, and the latest satellite network will play an important r…

cs.IT2023

Reconfigurable Intelligent Surface Assisted High-Speed Train Communications: Coverage Performance Analysis and Placement Optimization

Changzhu Liu, Ruisi He, Yong Niu +6

Reconfigurable intelligent surface (RIS) emerges as an efficient and promising technology for the next wireless generation networks and has attracted a lot of attention owing to th…

eess.SP2023

Channel Reciprocity Attacks Using Intelligent Surfaces with Non-Diagonal Phase Shifts

Haoyu Wang, Zhu Han, A. Lee Swindlehurst

While reconfigurable intelligent surface (RIS) technology has been shown to provide numerous benefits to wireless systems, in the hands of an adversary such technology can also be…

eess.SP2023★ 40 cited

Resource Optimization for Semantic-Aware Networks with Task Offloading

Zelin Ji, Zhijin Qin, Xiaoming Tao +1

The limited capabilities of user equipment restrict the local implementation of computation-intensive applications. Edge computing, especially the edge intelligence system, enables…