no code implementations • 17 May 2024 • Hao Zhou, Chengming Hu, Ye Yuan, Yufei Cui, Yili Jin, Can Chen, Haolun Wu, Dun Yuan, Li Jiang, Di wu, Xue Liu, Charlie Zhang, Xianbin Wang, Jiangchuan Liu
Then, we introduce LLM-enabled key techniques and telecom applications in terms of generation, classification, optimization, and prediction problems.
no code implementations • 27 Apr 2024 • Kecheng Zhang, Weijie Yuan, Pingzhi Fan, Xianbin Wang
Integrated sensing and communication (ISAC) is viewed as a key technology in future wireless networks.
no code implementations • 3 Nov 2023 • Bibo Wu, Fang Fang, Xianbin Wang, Donghong Cai, Shu Fu, Zhiguo Ding
Subsequently, given the fuzzy based client-edge association, a joint edge server scheduling and resource allocation problem is formulated.
no code implementations • 25 Sep 2023 • Yangying Zhao, Peng Chen, Zhenxin Cao, Xianbin Wang
High resolution DOA estimation requires large array aperture, which leads to the increase of hardware cost.
no code implementations • 18 Apr 2023 • Bibo Wu, Fang Fang, Xianbin Wang
To address these challenges, in this paper, a joint optimization problem of client selection and resource allocation is formulated, aiming to minimize the total time consumption of each round in FL over a non-orthogonal multiple access (NOMA) enabled wireless network.
no code implementations • 6 Nov 2022 • Xinwei Zhang, Guyue Li, Junqing Zhang, Linning Peng, Aiqun Hu, Xianbin Wang
Deep learning-based physical-layer secret key generation (PKG) has been used to overcome the imperfect uplink/downlink channel reciprocity in frequency division duplexing (FDD) orthogonal frequency division multiplexing (OFDM) systems.
no code implementations • 4 Oct 2022 • Cailian Deng, Xuming Fang, Xianbin Wang
Unmanned aerial vehicle (UAV) has high flexibility and controllable mobility, therefore it is considered as a promising enabler for future integrated sensing and communication (ISAC).
no code implementations • 28 Sep 2022 • Xuezhen Yan, Xuming Fang, Cailian Deng, Xianbin Wang
In order to achieve fairness among MGUs, we maximize the minimum average throughput between all users by jointly optimizing the user scheduling, resource allocation, and UAV trajectory control under the constraints on users' QoS requirements, communication resources, and UAV trajectory switching.
no code implementations • 8 Aug 2022 • Zhipeng Cheng, Xuwei Fan, Minghui LiWang, Ning Chen, Xianbin Wang
We investigate a data quality-aware dynamic client selection problem for multiple federated learning (FL) services in a wireless network, where each client offers dynamic datasets for the simultaneous training of multiple FL services, and each FL service demander has to pay for the clients under constrained monetary budgets.
no code implementations • 4 Jun 2022 • Zhipeng Cheng, Xuwei Fan, Minghui LiWang, Ning Chen, Xiaoyu Xia, Xianbin Wang
The ever-growing concerns regarding data privacy have led to a paradigm shift in machine learning (ML) architectures from centralized to distributed approaches, giving rise to federated learning (FL) and split learning (SL) as the two predominant privacy-preserving ML mechanisms.
no code implementations • 10 May 2022 • Ruikang Zhong, Yuanwei Liu, Xidong Mu, Yue Chen, Xianbin Wang, Lajos Hanzo
Despite the coupled nature of the phase-shift model, the formulated problem is solved by invoking a hybrid continuous and discrete phase-shift control policy.
1 code implementation • 25 Apr 2022 • Zhimin Chen, Peng Chen, Ziyu Guo, Yudong Zhang, Xianbin Wang
A novel estimation method is proposed in the scenario with a receiver using only one full-functional channel, where multiple measurements for the DOA estimation are achieved by controlling the reflection matrix (measurement matrix) in the RIS.
1 code implementation • 19 Mar 2022 • Peng Chen, Zhimin Chen, Beixiong Zheng, Xianbin Wang
Specifically, considering the position perturbation of UAVs, a new atomic norm-based DOA estimation method is proposed, where an atomic norm is defined with the parameter of the position perturbation.
2 code implementations • 19 Mar 2022 • Peng Chen, Zhimin Chen, Liang Liu, Yun Chen, Xianbin Wang
The estimation of direction of arrival (DOA) is a crucial issue in conventional radar, wireless communication, and integrated sensing and communication (ISAC) systems.
1 code implementation • 8 Jan 2021 • Cesar A. Gomez, Xianbin Wang, Abdallah Shami
Active Queue Management (AQM) has been considered as a paradigm for the complicated network management task of mitigating congestion by controlling buffer of network link queues.
no code implementations • 30 Dec 2020 • Guanxiong Shen, Junqing Zhang, Alan Marshall, Linning Peng, Xianbin Wang
Radio frequency fingerprint identification (RFFI) is an emerging device authentication technique that relies on intrinsic hardware characteristics of wireless devices.
no code implementations • 23 Nov 2020 • Ruikang Zhong, Xiao Liu, Yuanwei Liu, Yue Chen, Xianbin Wang
Our simulation results demonstrate that 1) With the aid of NOMA techniques, the communication reliability of IRs is effectively improved; 2) The radio map is qualified to be a virtual training environment, and its statistical channel state information improves training efficiency by about 30%; 3) The proposed DT-DPG algorithm is superior to the conventional deep deterministic policy gradient (DDPG) algorithm in terms of optimization performance, training time, and anti-local optimum ability.
no code implementations • 3 Aug 2020 • Minghui LiWang, Zhibin Gao, Xianbin Wang
Motivated by which, we propose an efficient decoupled approach by separating the template (feasible mappings between components and vehicles) searching from the transmission power allocation.
no code implementations • 27 Jul 2020 • Cailian Deng, Xuming Fang, Xiao Han, Xianbin Wang, Li Yan, Rong He, Yan Long, Yuchen Guo
Due to the related stringent requirements, supporting these applications over wireless local area network (WLAN) is far beyond the capabilities of the new WLAN standard -- IEEE 802. 11ax.
no code implementations • 5 Oct 2019 • Peng Chen, Zhimin Chen, Zhenxin Cao, Xianbin Wang
The problem of direction of arrival (DOA) estimation has been studied for decades as an essential technology in enabling radar, wireless communications, and array signal processing related applications.
1 code implementation • 28 Aug 2019 • Cesar A. Gomez, Xianbin Wang, Abdallah Shami
As more end devices are getting connected, the Internet will become more congested.
no code implementations • 22 Jul 2019 • Yourui Huangfu, Jian Wang, Chen Xu, Rong Li, Yiqun Ge, Xianbin Wang, Huazi Zhang, Jun Wang
In this paper, we propose a neural-network-based realistic channel model with both the similar accuracy as deterministic channel models and uniformity as stochastic channel models.
no code implementations • 30 Jun 2019 • He Fang, Xianbin Wang, Stefano Tomasin
The fifth generation (5G) and beyond wireless networks are critical to support diverse vertical applications by connecting heterogeneous devices and machines, which directly increase vulnerability for various spoofing attacks.
BIG-bench Machine Learning Unsupervised Reinforcement Learning
no code implementations • 19 Jun 2019 • Lei Lei, Huijuan Xu, Xiong Xiong, Kan Zheng, Wei Xiang, Xianbin Wang
By leveraging the concept of mobile edge computing (MEC), massive amount of data generated by a large number of Internet of Things (IoT) devices could be offloaded to MEC server at the edge of wireless network for further computational intensive processing.
no code implementations • 25 Feb 2019 • Lingyi Han, Kan Zheng, Long Zhao, Xianbin Wang, Xuemin Shen
Therefore, a framework combining with a deep clustering (DeepCluster) module is developed for STTP at largescale networks in this paper.
no code implementations • 22 Feb 2019 • Xianbin Wang, Huazi Zhang, Rong Li, Lingchen Huang, Shengchen Dai, Yourui Huangfu, Jun Wang
Specifically, before each SC decoding attempt, a long short-term memory (LSTM) network is exploited to either (i) locate the first error bit, or (ii) undo a previous `wrong' flip.
no code implementations • 14 Jan 2019 • Yourui Huangfu, Jian Wang, Rong Li, Chen Xu, Xianbin Wang, Huazi Zhang, Jun Wang
Accurate prediction of fading channel in future is essential to realize adaptive transmission and other methods that can save power and provide gains.
no code implementations • 12 Apr 2018 • Peng Chen, Zhenxin Cao, Zhimin Chen, Xianbin Wang
With regard to the DOA estimation performance, the proposed SBLMC method can outperform state-of-the-art methods in the MIMO radar with unknown mutual coupling effect, while keeping the acceptable computational complexity.