no code implementations • 15 Feb 2024 • Wenhao Zhuang, Yuyi Mao, Hengtao He, Lei Xie, Shenghui Song, Yao Ge, Zhi Ding
Orthogonal time frequency space (OTFS) modulation has emerged as a promising solution to support high-mobility wireless communications, for which, cost-effective data detectors are critical.
no code implementations • 15 Feb 2024 • Yiming Xu, Dongfang Xu, Shenghui Song
Simultaneous wireless information and power transfer (SWIPT) has been proposed to offer communication services and transfer power to the energy harvesting receiver (EHR) concurrently.
no code implementations • 28 Dec 2023 • Ho Man Kwan, Shenghui Song
In particular, the teacher model in FedSDD is an ensemble built by a small group of aggregated (global) models, instead of all client models, such that the computation cost will not scale with the number of clients.
no code implementations • 21 Dec 2023 • Ruoxiao Cao, Hengtao He, Xianghao Yu, Shenghui Song, Kaibin Huang, Jun Zhang, Yi Gong, Khaled B. Letaief
To address the joint channel estimation and cooperative localization problem for near-field UM-MIMO systems, we propose a variational Newtonized near-field channel estimation (VNNCE) algorithm and a Gaussian fusion cooperative localization (GFCL) algorithm.
no code implementations • 16 Dec 2023 • Wentao Yu, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Ross D. Murch, Khaled B. Letaief
In this paper, we address the fundamental challenge of designing a low-complexity Bayes-optimal channel estimator in near-field HMIMO systems operating in unknown EM environments.
no code implementations • 14 Nov 2023 • Wentao Yu, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Ross D. Murch, Khaled B. Letaief
Holographic MIMO (HMIMO) has recently been recognized as a promising enabler for future 6G systems through the use of an ultra-massive number of antennas in a compact space to exploit the propagation characteristics of the electromagnetic (EM) channel.
no code implementations • 25 Oct 2023 • Linping Qu, Shenghui Song, Chi-Ying Tsui, Yuyi Mao
It is also shown that the uplink communication in FL can tolerate a higher bit error rate (BER) than downlink communication, and this difference is quantified by a proposed formula.
no code implementations • 18 Sep 2023 • Wentao Yu, Yifan Ma, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
Ultra-massive multiple-input multiple-output (UMMIMO) is a cutting-edge technology that promises to revolutionize wireless networks by providing an unprecedentedly high spectral and energy efficiency.
no code implementations • 7 Aug 2023 • Lumin Liu, Jun Zhang, Shenghui Song, Khaled B. Letaief
To improve communication efficiency and achieve a better privacy-utility trade-off, we propose a communication-efficient FL training algorithm with differential privacy guarantee.
no code implementations • 20 Jul 2023 • Dohoon Kim, Shenghui Song
Power control for the device-to-device interference channel with single-antenna transceivers has been widely analyzed with both model-based methods and learning-based approaches.
no code implementations • 10 Jul 2023 • Gerry Windiarto Mohamad Dunda, Shenghui Song
Federated learning (FL) has garnered considerable attention due to its privacy-preserving feature.
no code implementations • 24 May 2023 • Linxuan Pan, Shenghui Song
However, existing analysis failed to explain why the multiple local updates with small mini-batches of data (L-SGD) can not be replaced by the update with one big batch of data and a larger learning rate (SGD).
1 code implementation • 21 May 2023 • Hongru Li, Wentao Yu, Hengtao He, Jiawei Shao, Shenghui Song, Jun Zhang, Khaled B. Letaief
Task-oriented communication is an emerging paradigm for next-generation communication networks, which extracts and transmits task-relevant information, instead of raw data, for downstream applications.
no code implementations • 9 May 2023 • Yiming Xu, Dongfang Xu, Lei Xie, Shenghui Song
Different from conventional radar, the cellular network in the integrated sensing and communication (ISAC) system enables collaborative sensing by multiple sensing nodes, e. g., base stations (BSs).
1 code implementation • 14 Feb 2023 • Hengtao He, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief
As one of the core technologies for 5G systems, massive multiple-input multiple-output (MIMO) introduces dramatic capacity improvements along with very high beamforming and spatial multiplexing gains.
1 code implementation • 29 Nov 2022 • Wentao Yu, Yifei Shen, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Khaled B. Letaief
For practical usage, the proposed framework is further extended to wideband THz UM-MIMO systems with beam squint effect.
no code implementations • 28 Nov 2022 • Yifan Ma, Wentao Yu, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief
In this paper, we propose a lightweight and flexible deep learning-based CSI feedback approach by capitalizing on deep equilibrium models.
no code implementations • 15 Nov 2022 • Wentao Yu, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Khaled B. Letaief
Reliability is of paramount importance for the physical layer of wireless systems due to its decisive impact on end-to-end performance.
no code implementations • 22 Aug 2022 • Lei Xie, Shenghui Song
As a result, most existing methods require a large number of data samples to achieve an accurate estimate of the covariance matrix for the received signals, based on which a power spectrum is constructed for localization purposes.
no code implementations • 23 Jul 2022 • Ho Man Kwan, Shenghui Song
Downsampling is widely adopted to achieve a good trade-off between accuracy and latency for visual recognition.
no code implementations • 5 Oct 2021 • Linping Qu, Shenghui Song, Chi-Ying Tsui
Experimental results show that the proposed descending quantization scheme can save up to 65. 2% of the communicated bit volume and up to 68% of the communication rounds, when compared with existing schemes.
no code implementations • 26 Mar 2021 • Lumin Liu, Jun Zhang, Shenghui Song, Khaled B. Letaief
Hierarchical FL, with a client-edge-cloud aggregation hierarchy, can effectively leverage both the cloud server's access to many clients' data and the edge servers' closeness to the clients to achieve a high communication efficiency.