13 citations · 18 across the 7 of their papers we have counts for
8 papers
Phased Ultra Massive Array (PUMA)
Hanjiang Hong, Kai-Kit Wong, Xusheng Zhu +3
This paper proposes a novel multiple-access framework, termed the phased ultra massive antenna array (PUMA), which exploits the distinctive spatial flexibility of fluid antenna sys…
Spectral Efficiency Analysis of Near-Field Holographic MIMO over Ricean Fading Channels
Mengyu Qian, Xidong Mu, Li You +2
With the denser distribution of antenna elements, stronger mutual coupling effects would kick in among antenna elements, which would eventually affect the communication performance…
Cell-free Fluid Antenna Multiple Access Networks
Tianyu Han, Yongxu Zhu, Kai-Kit Wong +2
Fluid antenna enables position reconfigurability that gives transceiver access to a high-resolution spatial signal and the ability to avoid interference through the ups and downs o…
RIS-Empowered Integrated Location Sensing and Communication with Superimposed Pilots
Wenchao Xia, Ben Zhao, Wankai Tang +4
In addition to enhancing wireless communication coverage quality, reconfigurable intelligent surface (RIS) technique can also assist in positioning. In this work, we consider RIS-a…
Conditional Generative Adversarial Networks for Channel Estimation in RIS-Assisted ISAC Systems
Alice Faisal, Ibrahim Al-Nahhal, Kyesan Lee +2
Integrated sensing and communication (ISAC) technology has been explored as a potential advancement for future wireless networks, striving to effectively use spectral resources for…
GenSC-6G: A Prototype Testbed for Integrated Generative AI, Quantum, and Semantic Communication
Brian E. Arfeto, Shehbaz Tariq, Uman Khalid +2
We introduce a prototyping testbed, GenSC-6G, developed to generate a comprehensive dataset that supports the integration of generative artificial intelligence (AI), quantum comput…
Multiple-Target Detection in Cell-Free Massive MIMO-Assisted ISAC
Mohamed Elfiatoure, Mohammadali Mohammadi, Hien Quoc Ngo +2
We propose a distributed implementation for integrated sensing and communication (ISAC) backed by a massive multiple input multiple output (CF-mMIMO) architecture without cells. Di…
Understanding Segment Anything Model: SAM is Biased Towards Texture Rather than Shape
Chaoning Zhang, Yu Qiao, Shehbaz Tariq +5
In contrast to the human vision that mainly depends on the shape for recognizing the objects, deep image recognition models are widely known to be biased toward texture. Recently,…