Search Results for author: Qiyu Hu

Found 19 papers, 5 papers with code

Feature Allocation for Semantic Communication with Space-Time Importance Awareness

no code implementations26 Jan 2024 Kequan Zhou, Guangyi Zhang, Yunlong Cai, Qiyu Hu, Guanding Yu, A. Lee Swindlehurst

To tackle this challenge, we introduce a framework called Feature Allocation for Semantic Transmission (FAST), which offers adaptability to channel fluctuations across both spatial and temporal domains.

Attribute

Alleviating Distortion Accumulation in Multi-Hop Semantic Communication

no code implementations22 Aug 2023 Guangyi Zhang, Qiyu Hu, Yunlong Cai, Guanding Yu

To address the problem of distortion accumulation, we introduce a novel recursive training method for the encoder and decoder of semantic communication systems.

SCAN: Semantic Communication with Adaptive Channel Feedback

no code implementations27 Jun 2023 Guangyi Zhang, Qiyu Hu, Yunlong Cai, Guanding Yu

Then, since the images with lower reconstruction quality are generally less robust and need to be allocated with more communication resources, we propose a novel framework of Semantic Communication with Adaptive chaNnel feedback (SCAN).

One-shot Learning for Channel Estimation in Massive MIMO Systems

no code implementations9 Jun 2023 Kai Kang, Qiyu Hu, Yunlong Cai, Yonina C. Eldar

In this work, we propose a one-shot self-supervised learning framework for channel estimation in multi-input multi-output (MIMO) systems.

Denoising One-Shot Learning +1

Deep-Unfolding for Next-Generation Transceivers

no code implementations15 May 2023 Qiyu Hu, Yunlong Cai, Guangyi Zhang, Guanding Yu, Geoffrey Ye Li

Then, some endeavors in applying deep-unfolding approaches in next-generation advanced transceiver design are presented.

FAST: Feature Arrangement for Semantic Transmission

no code implementations5 May 2023 Kequan Zhou, Guangyi Zhang, Yunlong Cai, Qiyu Hu, Guanding Yu

In this paper, we propose a scheme of Feature Arrangement for Semantic Transmission (FAST).

Feature Importance

Adaptive CSI Feedback for Deep Learning-Enabled Image Transmission

no code implementations27 Feb 2023 Guangyi Zhang, Qiyu Hu, Yunlong Cai, Guanding Yu

In particular, we develop a performance evaluator to predict the reconstruction quality of each image, so that the proposed scheme can adaptively decrease the CSI feedback overhead for the transmitted images with high predicted reconstruction qualities in the JSCC system.

Multiband Delay Estimation for Localization Using a Two-Stage Global Estimation Scheme

no code implementations20 Jun 2022 Yubo Wan, An Liu, Qiyu Hu, Mianyi Zhang, Yunlong Cai

In the coarse stage, we exploit the group sparsity structure of the multiband channel and propose a Turbo Bayesian inference (Turbo-BI) algorithm to achieve a good initial delay estimation based on a coarse signal model, which is transformed from the original multiband signal model by absorbing the carrier frequency terms.

Bayesian Inference

Robust Semantic Communications with Masked VQ-VAE Enabled Codebook

1 code implementation8 Jun 2022 Qiyu Hu, Guangyi Zhang, Zhijin Qin, Yunlong Cai, Guanding Yu, Geoffrey Ye Li

Although semantic communications have exhibited satisfactory performance for a large number of tasks, the impact of semantic noise and the robustness of the systems have not been well investigated.

Feature Importance

A Unified Multi-Task Semantic Communication System with Domain Adaptation

no code implementations1 Jun 2022 Guangyi Zhang, Qiyu Hu, Zhijin Qin, Yunlong Cai, Guanding Yu

Simulation results demonstrate that our proposed U-DeepSC achieves comparable performance to the task-oriented semantic communication system designed for a specific task with significant transmission overhead reduction and much less number of model parameters.

Domain Adaptation

Robust Semantic Communications Against Semantic Noise

no code implementations7 Feb 2022 Qiyu Hu, Guangyi Zhang, Zhijin Qin, Yunlong Cai, Guanding Yu, Geoffrey Ye Li

In this paper, we first propose a framework for the robust end-to-end semantic communication systems to combat the semantic noise.

Quantization

DDPG-Driven Deep-Unfolding with Adaptive Depth for Channel Estimation with Sparse Bayesian Learning

no code implementations20 Jan 2022 Qiyu Hu, Shuhan Shi, Yunlong Cai, Guanding Yu

Furthermore, the proposed framework is extended to realize the adaptive depth of the general deep neural networks (DNNs).

Deep-Unfolding Beamforming for Intelligent Reflecting Surface assisted Full-Duplex Systems

no code implementations4 Dec 2021 Yanzhen Liu, Qiyu Hu, Yunlong Cai, Guanding Yu, Geoffrey Ye Li

Moreover, due to the high computational complexity caused by the matrix inversion computation in the SSCA-based optimization algorithm, we further develop a deep-unfolding neural network (NN) to address this issue.

Two-Timescale End-to-End Learning for Channel Acquisition and Hybrid Precoding

1 code implementation22 Oct 2021 Qiyu Hu, Yunlong Cai, Kai Kang, Guanding Yu, Jakob Hoydis, Yonina C. Eldar

To reduce the signaling overhead and channel state information (CSI) mismatch caused by the transmission delay, a two-timescale DNN composed of a long-term DNN and a short-term DNN is developed.

Blending Advertising with Organic Content in E-Commerce: A Virtual Bids Optimization Approach

no code implementations28 May 2021 Carlos Carrion, Zenan Wang, Harikesh Nair, Xianghong Luo, Yulin Lei, Xiliang Lin, Wenlong Chen, Qiyu Hu, Changping Peng, Yongjun Bao, Weipeng Yan

In e-commerce platforms, sponsored and non-sponsored content are jointly displayed to users and both may interactively influence their engagement behavior.

Marketing

Latency Minimization in Intelligent Reflecting Surface Assisted D2D Offloading Systems

no code implementations12 Jan 2021 Yanzhen Liu, Qiyu Hu, Yunlong Cai, Markku Juntti

In this letter, we investigate an intelligent reflecting surface (IRS) aided device-to-device (D2D) offloading system, where an IRS is employed to assist in computation offloading from a group of users with intensive tasks to another group of idle users.

Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO with Lens Arrays

1 code implementation5 Jan 2021 Qiyu Hu, Yanzhen Liu, Yunlong Cai, Guanding Yu, Zhi Ding

In this work, we investigate the joint design of beam selection and digital precoding matrices for mmWave MU-MIMO systems with DLA to maximize the sum-rate subject to the transmit power constraint and the constraints of the selection matrix structure.

Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems

1 code implementation15 Jun 2020 Qiyu Hu, Yunlong Cai, Qingjiang Shi, Kaidi Xu, Guanding Yu, Zhi Ding

Then, we implement the proposed deepunfolding framework to solve the sum-rate maximization problem for precoding design in MU-MIMO systems.

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