Selected Articles
Proof-of-QoE NOMA Token: A Crypto Rewarding Concept To Incentivize Local Relay In Non-Orthogonal Multiple Access Wireless Networks
2024 International Conference on Computing, Networking and Communications (ICNC)
K. Ramamoorthy, W. Wang, K. Sohraby and Y. Zhao
In this paper, we propose a new crypto token - NOMAToken on the Ethereum blockchain leveraging the Proof of Quality of Experience (QoE) consensus mechanism. NOMAToken serves as a payment token that facilitates all monetary transactions within a NOMA network.
Automatic Modulation Recognition Using Parallel Feature Extraction Architecture
International Conference on Wireless Artificial Intelligent Computing Systems and Applications (WASA 2024)
H. Tang, Y. Zhao, M. Kuzlu, C. Luo, F. O. Catak, W. Wang
We propose a parallel neural network architecture for AMR, which extracts spatial features using CNN layers and temporal features using LSTM (Long Short-Term Memory) layers, respectively, in two parallel routes. Afterward, the extracted features will be combined to predict the modulation scheme of a signal.
Study of Reconfigurable Intelligent Surface Deployment for Non-Orthogonal Multiple Access Wireless Communication Networks
International Symposium on Intelligent Computing and Networking 2024
G. Esitashvili, K. Ramamoorthy, W. Wang and Y. Zhao
In this paper we perform a data-driven study and investigate the possibility to utilize RIS as a tool to provide NOMA users with effective and fair data rate services in wireless communications. Specifically, we investigate what are the best possible deployment locations for RIS, in order to desirably reflect wireless signals to NOMA users in an effective and fair way.
Defending AI-Based Automatic Modulation Recognition Models Against Adversarial Attacks.
IEEE Access, 2023
T. Hao, O. Catak, K. Murat, E. Catak, and Y. Zhao
This paper explores the vulnerabilities of an AI-based AMR model to adversarial attacks in both single-input-single-output and multiple-input-multiple-output scenarios. We show that these attacks can significantly reduce the classification performance of the AI-based AMR model, which highlights the security and robustness concerns.
Wireless Signal Denoising Using Conditional Generative Adversarial Networks
IEEE INFOCOM Workshops, 2023
H. Tang, Y. Zhao, G. Wang, C. Luo, and W. Wang
This paper investigates an adversarial learning-based approach for wireless signal denoising, which will correspondingly enhance signal strength. Specifically, we design a conditional generative adversarial network at the receiver to establish an adversarial game between a generator and a discriminator.
Security Hardening of Intelligent Reflecting Surfaces Against Adversarial Machine Learning Attacks
IEEE Access, 2022.
O. Catak, K. Murat, T. Hao, E. Catak, and Y. Zhao
This paper focuses on an AI-powered IRS implementation in NextG networks along with its vulnerability against adversarial machine learning attacks. This paper also proposes the defensive distillation mitigation method to defend and improve the robustness of the AI-powered IRS model, i.e., reduce the vulnerability.
Use of Intelligent Reflecting Surfaces For and Against Wireless Communication Security
IEEE 4th 5G World Forum (5GWF), 2021
S. Sarp, H. Tang and Y. Zhao
This paper presents the recent accomplishment of the use of IRS-based systems for secure wireless communication by grouping into two categories: secure communication utilizing IRS and security threats using IRS.
Optimal On Demand Delay-constrained Fair Distribution for Self-coexistence WRAN
Computer Networks Journal
Y. Zhao, MD N. Anjum, L. Pu, G. Wang, Y. Luo
2018-04-06
In this paper, we fully consider the distinct delay constraints and frame demands of users and formulate the resource allocation optimization problem as an integer programming problem. A new approach termed On Demand Delay-constrained Fair Distribution (ODDFD) is proposed to solve this optimization problem.
DTER: Schedule Optimal RF Energy Request and Harvest for Internet of Things
IEEE Internet of Things Journal
Y. Luo, L. Pu, Y. Zhao, G. Wang, M. Song
2018-02-19
We propose a new energy harvesting strategy that uses a dedicated energy source (ES) to optimally replenish energy for radio frequency (RF) energy harvesting powered Internet of Things. Specifically, we develop a two-step dual tunnel energy requesting (DTER) strategy that minimizes the energy consumption on both the energy harvesting device and the ES.
Data Aggregation Point Placement Problem in Neighborhood Area Networks of Smart Grid
Mobile Networks and Applications Journal
G. Wang, Y. Zhao, Y. Ying, J. Huang, R. Winter
2018-01-25
In this paper, we investigate the DAP placement problem and propose solutions to reduce the distance between DAPs and smart meters. Specifically, the DAP placement problem is formulated with two objectives, e.g., the average distance minimization and the maximum distance minimization.
Harness Interference for Performance Improvement in Underwater Sensor Networks
IEEE Systems Journal
Y. Luo, L. Pu, Y. Zhao, J. Cui
2017-08-28
In this paper, we propose a new communication scheme, called the mirror node assisted communication (MNAC), to improve the channel efficiency in underwater sensor networks (UWSNs). In the new scheme, a mirror node is selected properly for each specified source node so that the signals from the source and the mirror nodes could add destructively at a protected receiver.
The Controller Placement Problem in Software Defined Networking: A Survey
IEEE Network
G. Wang, Y. Zhao, J. Huang, W. Wang
2017-09-30
In this article, we first survey the state-of-the-art solutions to the controller placement problem in SDN, and draw a
taxonomy based on their objectives, and then propose a new approach to minimize the packet propagation latency between controllers and switches.
Prediction-based Spectrum Management in Cognitive Radio Networks
IEEE Systems Journal
Y. Zhao, Z. Hong, Y. Luo, G. Wang, L. Pu
2017-09-07
In this paper, we propose a new prediction-based spectrum management strategy to tackle this challenge. Both spectrum prediction and users’ mobility prediction are fully considered in the proposed strategy.
Exploring Uncertainties of Transmission and Reception Delays for Underwater Acoustic Networks
IEEE Wireless Communications Letter
Y. Luo, L. Pu, Y. Zhao, J. Cui
2017-04-27
In this letter, we study delay uncertainties of a real underwater system on sending and receiving acoustic signals. Based on experimental data, the delay is first decomposed into seven components, then the features of each component are studied carefully.
A Game-Theoretic Resource Allocation Approach for Intercell Device-to-Device Communications in Cellular Networks
IEEE Transactions on Emerging Topics in Computing
J. Huang, Y. Yin, Y. Zhao, Q. Duan, W. Wang, S. Yu,
2016-09-30
In this paper, we investigate the resource allocation issue for intercell scenarios where a D2D link is located in the overlapping area of two neighboring cells. Furthermore, we present three intercell D2D scenarios regarding the resource allocation problem.
An Effective AODV- based Flooding Detection and Prevention for Smart Meter Network
International Conference on Identifi cation, Information and Knowledge in the Internet of Things (IIKI)
M. Hasan, Y. Zhao, G. Wang, Y. Luo, R. Winter
2018-10-18
To detect and prevent flooding attacks, we propose a new AODV-based routing protocol called FLOoding aWareness AODV (FLOW-AODV) considering both with and without Internet Protocol (IP) spoofing.
Enhanced AODV: Detection and Avoidance of Black Hole Attack in Smart Metering Network
International Conference on Computer Communications and Networks (ICCCN) Workshop (WiMAN)
Md R. Hasan, Y. Zhao, G.Wang, Y. Luo and R. Winter,
2017-08-02
To detect and avoid black hole attacks, we propose a new routing protocol, termed Enhanced Ad-hoc On-Demand Distance Vector (E-AODV) by modifying the Route Reply (RREP) system based on AODV.
Optimal Energy Requesting Strategy for RF-based Energy Harvesting Wireless Communications
IEEE International Conference on Computer Communications (INFOCOM)
Y. Luo, L. Pu, Y. Zhao, G.Wang, M. Song,
2017-04-30
This paper introduces a new energy harvesting strategy that uses a dedicated energy source to optimally replenish energy for radio frequency (RF) based wireless communication systems. Specifically, we develop a two-step dual tunnel energy requesting (DTER) strategy that allows an energy harvesting device to effectively obtain energy from a dedicated energy source.
A K-Means-Based Network Partition Algorithm for Controller Placement in Software De fined Network
IEEE International Conference on Communications (ICC)
G. Wang, Y. Zhao, J. Huang, Q. Duan, J. Li,
2016-05-22
In this paper, we investigate multi-controller placement problem from the perspective of latency minimization. Distinct from previous works, the network partition technique is introduced to simplify the problem.
High-Order Hidden Bivariate Markov Model: A Novel Approach on Spectrum Prediction
25th International Conference on Computer Communication and Networks (ICCCN)
Y. Zhao, Z. Hong, G. Wang, J. Huang
2016-07-31
In this paper, we propose a novel prediction approach termed high-order hidden bivariate Markov model (H^2BMM), by leveraging the advantages of both HBMM and high-order. H^2BMM applies two dimensional parameters, i.e., hidden process and underlying process, to more accurately describe the channel behavior.
Optimal Resource Allocation for Delay Constrained Users in Self-coexistence WRAN
IEEE Global Communications Conference (GLOBECOM)
Y. Zhao, MD N. Anjum, M. Song, X. Xu, G. Wang
2015-12-05
To fully consider various delay constraints and
frame demands, in this paper we formulate the resource allocation optimization problem as an integer programming problem and present a new approach termed On Demand Delay-constrained Fair Distribution (ODDFD).
Detection of primary user's signal in cognitive radio networks: Angle of Arrival based approach
IEEE Global Communications Conference (GLOBECOM)
Y. Zhao, J Huang, W Wang, R. Zaman
2014-12-07
In this paper, we address this issue and propose to employ an Angle of Arrival (AoA) based sensing approach to effectively distinct a primary user's signal from a secondary user' signal.
FMAC: A Fair MAC Protocol for Coexisting Cognitive Radio networks
IEEE International Conference on Computer Communications (INFOCOM)
Y. Zhao, M. Song, C. Xin
2013-04-13
In this paper, we introduce a novel MAC protocol, termed fairness-oriented media access control (FMAC), to address the dynamic availability of channels and achieve fair and efficient coexistence of cognitive radio networks.
Spectrum sensing based on three-state model to accomplish all-level fairness for co-existing multiple cognitive radio networks
IEEE International Conference on Computer Communications (INFOCOM)
Y. Zhao, M. Song, C. Xin, M. Wadhwa
2012-03-24
In this paper, we propose a three-state sensing model that distinguishes the channel into three states: idle, occupied by a primary user, or occupied by a secondary user.
