activity
20202026
most citedMulti-Access Point Coordination for Next-Gen Wi-Fi Networks Aided by Deep Reinforcement Learning

37 citations · 45 across the 20 of their papers we have counts for

collaborators

22 papers

cs.IT2026

Logit-Aware MIMO AirComp for Distributed Mixture-of-Experts LLM Inference over Wireless Edge Networks

Lyutianyang Zhang, Yunjian Jia, Liu Cao +3

Distributed mixture-of-experts (MoE) inference is a promising architecture for deploying large language models (LLMs) at wireless edge networks because sparse experts can be placed…

eess.SY2026

PHY-Layer Modeling and Throughput-Driven Adaptation for Batteryless V2X Networks

Zhaoyu Liu, Ruikang Li, Liu Cao +3

Passive overlay communication for batteryless devices is an important enabling capability for next-generation vehicle-to-everything (V2X) networks. However, enabling reliable passi…

cs.IT2026

Data-Driven Batteryless Channel Sounding for Wi-Fi 8-Inspired Downlink MU-MIMO

Muhan Zhang, Chuqi Zhang, Qitong Xu +4

Batteryless overlays couple passive throughput to Wi-Fi sounding overhead and channel state information (CSI) aging. This paper investigates channel sounding for ultra-high reliabi…

eess.SY2026

RIS-Aided E2E Multi-Path Uplink Transmission Optimization for 6G Time-Sensitive Services

Liu Cao, Zisheng Gong, Ziyue Xiao +3

The Access Traffic Steering, Switching, and Splitting (ATSSS) defined in the latest 3GPP Release 19 enables traffic flow over the multiple access paths to achieve the lower-latency…

cs.NI2025

A Lightweight Coordinate-Conditioned Diffusion Approach for 6G C-V2X Radio Environment Maps

Liu Cao, Zhaoyu Liu, Dongyu Wei +3

Transmitter vehicles that broadcast 6G Cellular Vehicle-to-Everything (C-V2X)-based messages, e.g., Basic Safety Messages (BSMs), are prone to be impacted by PHY issues due to the…

cs.CR2025

SALT-V: Lightweight Authentication for 5G V2X Broadcasting

Liu Cao, Weizheng Wang, Qipeng Xie +2

Vehicle-to-Everything (V2X) communication faces a critical authentication dilemma: traditional public-key schemes like ECDSA provide strong security but impose 2 ms verification de…

cs.NI2025

LLP-V2X: Low Latency-Power Vehicular Networking Towards 6G V2X

Zhaoyu Liu, Liu Cao, Lyutianyang Zhang +3

The trade-off between energy and latency budgets is becoming significant due to the more stringent QoS requirements in 6G vehicular networks. However, comprehensively studying the…

cs.NI2025

EPFL-REMNet: Efficient Personalized Federated Digital Twin Towards 6G Heterogeneous Radio Environment

Peide Li, Liu Cao, Lyutianyang Zhang +3

Radio Environment Map (REM) is transitioning from 5G homogeneous environments to B5G/6G heterogeneous landscapes. However, standard Federated Learning (FL), a natural fit for this…

cs.NI2024★ 1 cited

Revisiting Multi-User Downlink in IEEE 802.11ax: A Designers Guide to MU-MIMO

Liu Cao, Lyutianyang Zhang, Sumit Roy +1

Downlink (DL) Multi-User (MU) Multiple Input Multiple Output (MU-MIMO) is a key technology that allows multiple concurrent data transmissions from an Access Point (AP) to a selecte…

cs.NI2024★ 1 cited

Optimized Non-Primary Channel Access Design in IEEE 802.11bn

Dongyu Wei, Liu Cao, Lyutianyang Zhang +2

The IEEE 802.11 standards, culminating in IEEE 802.11be (Wi-Fi 7), have significantly expanded bandwidth capacities from 20 MHz to 320 MHz, marking a crucial evolution in wireless…

cs.NI2024

Non-Primary Channel Access in IEEE 802.11 UHR: Comprehensive Analysis and Evaluation

Dongyu Wei, Liu Cao, Lyutianyang Zhang +2

The evolution of the IEEE 802.11 standards marks a significant throughput advancement in wireless access technologies, progressively increasing bandwidth capacities from 20 MHz in…

cs.NI2023★ 2 cited

IEEE 802.11be Network Throughput Optimization with Multi-Link Operation and AP Coordination

Lyutianyang Zhang, Hao Yin, Sumit Roy +3

IEEE 802.11be (Wi-Fi 7) introduces a new concept called multi-link operation (MLO), which allows multiple Wi-Fi interfaces in different bands (2.4, 5, and 6 GHz) to work together t…

cs.NI2023

Toward 6G Sidelink Reliability: MAC PRR Modeling for NR Mode 2 SPS and ns-3 Validation

Liu Cao, Zhaoyu Liu, Lyutianyang Zhang

5G New Radio (NR) Sidelink (SL) Mode 2 has enabled decentralized, infrastructure-less direct communications which is evolving to serve reliability-critical services in 6G SL. Parti…

eess.SP2023★ 2 cited

Static Background Removal in Vehicular Radar: Filtering in Azimuth-Elevation-Doppler Domain

Xiangyu Gao, Sumit Roy, Lyutianyang Zhang

Anti-collision assistance, integral to the current drive towards increased vehicular autonomy, relies heavily on precise detection and localization of moving targets in the vehicle…

eess.SY2023

A Light-Weight Communication-Efficient Data Sharing Approach in 5G NR V2X

Ran Wei, Lyutianyang Zhang

Timeliness of information is critical for Basic Safety Messages (BSMs) in Vehicle-to-Everything (V2X) communication to enable highly reliable autonomous driving. However, the curre…

cs.IT2022★ 1 cited

Optimal Beam Training for mmWave Massive MIMO using 802.11ay

Lyutianyang Zhang, Sumit Roy

Beam training of 802.11 ad is a technology that helps accelerate the analog weighting vector (AWV) selection process under the constraint of the existing code-book for AWV. However…

cs.IT2022★ 1 cited

Architecture-Algorithmic Trade-offs in Multi-path Channel Estimation for mmWAVE Systems

Lyutianyang Zhang, Sumit Roy, Liu Cao

5G mmWave massive MIMO systems are likely to be deployed in dense urban scenarios, where increasing network capacity is the primary objective. A key component in mmWave transceiver…

eess.SY2022★ 37 cited

Multi-Access Point Coordination for Next-Gen Wi-Fi Networks Aided by Deep Reinforcement Learning

Lyutianyang Zhang, Hao Yin, Sumit Roy +1

Wi-Fi in the enterprise - characterized by overlapping Wi-Fi cells - constitutes the design challenge for next-generation networks. Standardization for recently started IEEE 802.11…

eess.SP2022

Efficient PHY Layer Abstraction under Imperfect Channel Estimation

Liu Cao, Lyutianyang Zhang, Sian Jin +1

As most existing work investigate the PHY layer abstraction under an assumption of perfect channel estimation, it may become unreliable if there exists channel estimation error in…

cs.NI2021

Performance Analysis and Improvement on DSRC Application for V2V Communication

Liu Cao, Hao Yin, Jie Hu +1

In this paper, we focus on the performance of vehicle-to-vehicle (V2V) communication adopting the Dedicated Short Range Communication (DSRC) application in periodic broadcast mode.…

cs.NI2021

Enhancing WiFi Multiple Access Performance with Federated Deep Reinforcement Learning

Lyutianyang Zhang, Hao Yin, Zhanke Zhou +2

Carrier sensing multiple access/collision avoidance (CSMA/CA) is the backbone MAC protocol for IEEE 802.11 networks. However, tuning the binary exponential back-off (BEB) mechanism…

cs.IT2020

Communications-Caching-Computing Tradeoff Analysis for Bidirectional Data Computation in Mobile Edge Networks

Yaping Sun, Lyutianyang Zhang, Zhiyong Chen +1

With the advent of the modern mobile traffic, e.g., online gaming, augmented reality delivery and etc., a novel bidirectional computation task model where the input data of each ta…