no code implementations • 3 Apr 2024 • Hao Zhang, Fuhui Zhou, Qihui Wu, Naofal Al-Dhahir
Moreover, a modular semi-supervised learning method that combines labeled and unlabeled data using MixMatch is exploited to further improve the classification performance under few-sample conditions.
no code implementations • 7 Mar 2024 • Zaid Bin Tariq, Teviet Creighton, Louis P. Dartez, Naofal Al-Dhahir, Murat Torlak
In many cases, fast mitigation of strong radio frequency interference (RFI) is valuable for studying short lived radio transients so that the astronomers can perform detailed observations of celestial radio sources.
no code implementations • 29 Feb 2024 • Yike Li, Lu Yua, Fuhui Zhou, Qihui Wu, Naofal Al-Dhahir, Kai-Kit Wong
Automatic modulation classification (AMC) is a promising technology to realize intelligent wireless communications in the sixth generation (6G) wireless communication networks.
no code implementations • 20 Dec 2023 • Shuai Ma, Haihong Sheng, Junchang Sun, Hang Li, Xiaodong Liu, Chen Qiu, Majid Safari, Naofal Al-Dhahir, Shiyin Li
Then, we derive the expression of LiFi transmission rate based on the m-pulse-amplitude-modulation (M-PAM).
no code implementations • 4 Oct 2023 • Wen Wang, Wanli Ni, Hui Tian, Naofal Al-Dhahir
To realize a self-sustainable communication system, we investigate the use of MF-RIS in improving the sum-rate of multi-user wireless networks.
no code implementations • 22 Aug 2023 • Fuhui Zhou, Rui Ding, Qihui Wu, Derrick Wing Kwan Ng, Kai-Kit Wong, Naofal Al-Dhahir
Simulation results demonstrate that our proposed framework can significantly improve the sum transmission rate of the secondary network compared to various benchmark schemes.
1 code implementation • 17 Apr 2023 • Yuchao Chang, Wen Chen, Jun Li, Jianpo Liu, Haoran Wei, Zhendong Wang, Naofal Al-Dhahir
Network energy efficiency is a main pillar in the design and operation of wireless communication systems.
no code implementations • 15 Mar 2023 • Fuhui Zhou, Yihao Li, Ming Xu, Lu Yuan, Qihui Wu, Rose Qingyang Hu, Naofal Al-Dhahir
Extensive simulation results conducted on a public dataset demonstrate that our proposed single-user and multi-user cognitive semantic communication systems are superior to benchmark communication systems in terms of the data compression rate and communication reliability.
no code implementations • 3 Mar 2023 • Shuai Ma, Weining Qiao, Youlong Wu, Hang Li, Guangming Shi, Dahua Gao, Yuanming Shi, Shiyin Li, Naofal Al-Dhahir
Instead of broadcasting all extracted features, the semantic encoder extracts the disentangled semantic features, and then only the users' intended semantic features are selected for broadcasting, which can further improve the transmission efficiency.
no code implementations • 27 Feb 2023 • Shuai Ma, Weining Qiao, Youlong Wu, Hang Li, Guangming Shi, Dahua Gao, Yuanming Shi, Shiyin Li, Naofal Al-Dhahir
Furthermore, based on the $\beta $-variational autoencoder ($\beta $-VAE), we propose a practical explainable semantic communication system design, which simultaneously achieves semantic features selection and is robust against semantic channel noise.
no code implementations • 13 Feb 2023 • Mianyi Zhang, Yinghui He, Yunlong Cai, Guanding Yu, Naofal Al-Dhahir
We seek to jointly optimize the receive and transmit beamforming vectors to maximize the eavesdropping success probability which is transformed into the difference of signal-to-interference-plus-noise ratios (SINRs) subject to the performance requirements of radar and surveillance.
no code implementations • 21 Dec 2022 • Shuai Ma, Jing Wang, Chun Du, Hang Li, Xiaodong Liu, Youlong Wu, Naofal Al-Dhahir, Shiyin Li
To address this challenge, we propose an alternating optimization algorithm to obtain the transmit beamforming and the PD orientation.
no code implementations • 28 Feb 2022 • Abdulmalik Alwarafy, Bekir Sait Ciftler, Mohamed Abdallah, Mounir Hamdi, Naofal Al-Dhahir
This paper considers the problem of cost-aware downlink sum-rate maximization via joint optimal radio access technologies (RATs) assignment and power allocation in next-generation heterogeneous wireless networks (HetNets).
no code implementations • 13 May 2021 • Bai Zhao, Min Lin, Ming Cheng, Wei-Ping Zhu, Naofal Al-Dhahir
This paper proposes a robust beamforming scheme to enhance the physical layer security (PLS) of multicast transmission in a cognitive satellite and aerial network (CSAN) operating in the millimeter wave frequency band.
no code implementations • 18 Nov 2020 • Jiakuo Zuo, Yuanwei Liu, Naofal Al-Dhahir
In each alternative procedure, the optimal solutions for the active beamforming vectors, transmit-relaying power and phase shifts are obtained.
no code implementations • 19 Oct 2020 • Qingqing Wu, Jie Xu, Yong Zeng, Derrick Wing Kwan Ng, Naofal Al-Dhahir, Robert Schober, A. Lee Swindlehurst
On the other hand, providing such communication services simultaneously for both UAV and ground users poses new challenges due to the need for ubiquitous 3D signal coverage as well as the strong air-ground network interference.
no code implementations • 7 Jul 2020 • Yuanwei Liu, Xiao Liu, Xidong Mu, Tianwei Hou, Jiaqi Xu, Marco Di Renzo, Naofal Al-Dhahir
In this context, we provide a comprehensive overview of the state-of-the-art on RISs, with focus on their operating principles, performance evaluation, beamforming design and resource management, applications of machine learning to RIS-enhanced wireless networks, as well as the integration of RISs with other emerging technologies.
no code implementations • 30 Oct 2019 • Xidong Mu, Yuanwei Liu, Li Guo, Jiaru Lin, Naofal Al-Dhahir
Our goal is to maximize the sum rate of all users by jointly optimizing the active beamforming at the BS and the passive beamforming at the IRS, subject to successive interference cancellation decoding rate conditions and IRS reflecting elements constraints.