78 citations · 230 across the 45 of their papers we have counts for
24 papers · 1 filter
Variable-Length Feedback Codes via Deep Learning
Wenwei Lai, Yulin Shao, Yu Ding +1
Variable-length feedback coding has the potential to significantly enhance communication reliability in finite block length scenarios by adapting coding strategies based on real-ti…
MIMO Channel as a Neural Function: Implicit Neural Representations for Extreme CSI Compression in Massive MIMO Systems
Haotian Wu, Maojun Zhang, Yulin Shao +2
Acquiring and utilizing accurate channel state information (CSI) can significantly improve transmission performance, thereby holding a crucial role in realizing the potential advan…
Point Cloud in the Air
Yulin Shao, Chenghong Bian, Li Yang +3
Acquisition and processing of point clouds (PCs) is a crucial enabler for many emerging applications reliant on 3D spatial data, such as robot navigation, autonomous vehicles, and…
LLMind: Orchestrating AI and IoT with LLM for Complex Task Execution
Hongwei Cui, Yuyang Du, Qun Yang +2
Task-oriented communications are an important element in future intelligent IoT systems. Existing IoT systems, however, are limited in their capacity to handle complex tasks, parti…
Deep Joint Source-Channel Coding for Adaptive Image Transmission over MIMO Channels
Haotian Wu, Yulin Shao, Chenghong Bian +2
This paper introduces a vision transformer (ViT)-based deep joint source and channel coding (DeepJSCC) scheme for wireless image transmission over multiple-input multiple-output (M…
Transformer-aided Wireless Image Transmission with Channel Feedback
Haotian Wu, Yulin Shao, Emre Ozfatura +2
This paper presents a novel wireless image transmission paradigm that can exploit feedback from the receiver, called DeepJSCC-ViT-f. We consider a block feedback channel model, whe…
Channel Cycle Time: A New Measure of Short-term Fairness
Pengfei Shen, Yulin Shao, Haoyuan Pan +2
This paper puts forth a new metric, dubbed channel cycle time (CCT), to measure the short-term fairness of communication networks. CCT characterizes the average duration between tw…
Broadband Digital Over-the-Air Computation for Wireless Federated Edge Learning
Lizhao You, Xinbo Zhao, Rui Cao +2
This paper presents the first orthogonal frequency-division multiplexing(OFDM)-based digital over-the-air computation (AirComp) system for wireless federated edge learning, where m…
A Theory of Semantic Communication
Yulin Shao, Qi Cao, Deniz Gunduz
Semantic communication is an emerging research area that has gained a wide range of attention recently. Despite this growing interest, there remains a notable absence of a comprehe…
Feedback is Good, Active Feedback is Better: Block Attention Active Feedback Codes
Emre Ozfatura, Yulin Shao, Amin Ghazanfari +3
Deep neural network (DNN)-assisted channel coding designs, such as low-complexity neural decoders for existing codes, or end-to-end neural-network-based auto-encoder designs are ga…
Deep Joint Source-Channel Coding Over Cooperative Relay Networks
Chenghong Bian, Yulin Shao, Haotian Wu +1
This paper presents a novel deep joint source-channel coding (DeepJSCC) scheme for image transmission over a half-duplex cooperative relay channel. Specifically, we apply DeepJSCC…
Decentralized Channel Management in WLANs with Graph Neural Networks
Zhan Gao, Yulin Shao, Deniz Gunduz +1
Wireless local area networks (WLANs) manage multiple access points (APs) and assign scarce radio frequency resources to APs for satisfying traffic demands of associated user device…
Vision Transformer for Adaptive Image Transmission over MIMO Channels
Haotian Wu, Yulin Shao, Chenghong Bian +2
This paper presents a vision transformer (ViT) based joint source and channel coding (JSCC) scheme for wireless image transmission over multiple-input multiple-output (MIMO) system…
Semantic Communications with Discrete-time Analog Transmission: A PAPR Perspective
Yulin Shao, Deniz Gunduz
Recent progress in deep learning (DL)-based joint source-channel coding (DeepJSCC) has led to a new paradigm of semantic communications. Two salient features of DeepJSCC-based sema…
Phase Code Discovery for Pulse Compression Radar: A Genetic Algorithm Approach
Xinyan Xie, Runxin Zhang, Yulin Shao +1
Discovering sequences with desired properties has long been an interesting intellectual pursuit. In pulse compression radar (PCR), discovering phase codes with low aperiodic autoco…
Dynamic gNodeB Sleep Control for Energy-Conserving 5G Radio Access Network
Pengfei Shen, Yulin Shao, Qi Cao +1
5G radio access network (RAN) is consuming much more energy than legacy RAN due to the denser deployments of gNodeBs (gNBs) and higher single-gNB power consumption. In an effort to…
All you need is feedback: Communication with block attention feedback codes
Emre Ozfatura, Yulin Shao, Alberto Perotti +2
Deep learning based channel code designs have recently gained interest as an alternative to conventional coding algorithms, particularly for channels for which existing codes do no…
AttentionCode: Ultra-Reliable Feedback Codes for Short-Packet Communications
Yulin Shao, Emre Ozfatura, Alberto Perotti +2
Ultra-reliable short-packet communication is a major challenge in future wireless networks with critical applications. To achieve ultra-reliable communications beyond 99.999%, this…
Channel-Adaptive Wireless Image Transmission with OFDM
Haotian Wu, Yulin Shao, Krystian Mikolajczyk +1
We present a learning-based channel-adaptive joint source and channel coding (CA-JSCC) scheme for wireless image transmission over multipath fading channels. The proposed method is…
Broadband Digital Over-the-Air Computation for Asynchronous Federated Edge Learning
Xinbo Zhao, Lizhao You, Rui Cao +2
This paper presents the first broadband digital over-the-air computation (AirComp) system for phase asynchronous OFDM-based federated edge learning systems. Existing analog AirComp…
Federated Edge Learning with Misaligned Over-The-Air Computation
Yulin Shao, Deniz Gunduz, Soung Chang Liew
Over-the-air computation (OAC) is a promising technique to realize fast model aggregation in the uplink of federated edge learning. OAC, however, hinges on accurate channel-gain pr…
Uncertainty-of-Information Scheduling: A Restless Multi-armed Bandit Framework
Gongpu Chen, Soung Chang Liew, Yulin Shao
This paper proposes using the uncertainty of information (UoI), measured by Shannon's entropy, as a metric for information freshness. We consider a system in which a central monito…
Partially Observable Minimum-Age Scheduling: The Greedy Policy
Yulin Shao, Qi Cao, Soung Chang Liew +1
This paper studies the minimum-age scheduling problem in a wireless sensor network where an access point (AP) monitors the state of an object via a set of sensors. The freshness of…
Asynchronous Physical-layer Network Coding: Symbol Misalignment Estimation and Its Effect on Decoding
Yulin Shao, Soung Chang Liew, Lu Lu
In asynchronous physical-layer network coding (APNC) systems, the symbols from multiple transmitters to a common receiver may be misaligned. The knowledge of the amount of symbol m…