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Graph Convolutional Network (GCN) has achieved great success and has been applied in various fields including recommender systems. However, GCN still suffers from many issues such as training difficulties, over-smoothing, vulnerable to…

Information Retrieval · Computer Science 2020-05-01 Shaowen Peng , Tsunenori Mine

In this paper, we investigate a fluid antenna relay (FAR)-assisted communication system with hybrid relaying scheme selection. By leveraging statistical channel state information (CSI) and distribution characteristics of fluid antenna…

Signal Processing · Electrical Eng. & Systems 2026-01-21 Ruopeng Xu , Songling Zhang , Zhaohui Yang , Mingzhe Chen , Zhaoyang Zhang , Kai-Kit Wong

The use of energy harvesting (EH) nodes as cooperative relays is an emerging solution for enabling green wireless systems. In this paper, we consider multiple EH relay nodes harvesting energy from the radio frequency (RF) signal received…

Information Theory · Computer Science 2014-08-20 Yu-Hsien Lee , Kuang-Hao Liu

Cooperative transmission is an emerging communication technique that takes advantages of the broadcast nature of wireless channels. However, due to low spectral efficiency and the requirement of orthogonal channels, its potential for use in…

Information Theory · Computer Science 2016-11-17 Zhu Han , Xin Zhang , H. Vincent Poor

Cognitive radio (CR) is to detect the presence of primary users (PUs) reliably in order to reduce the interference to licensed communications. Genetic algorithms (GAs) are well suited for CR optimization problems to increase efficiency of…

Networking and Internet Architecture · Computer Science 2013-04-12 Md. Kamal Hossain , Ayman Abd El-Saleh

This article investigates and compares three approaches to link prediction in colaboration networks, namely, an ERGM (Exponential Random Graph Model; Robins et al. 2007), a GCN (Graph Convolutional Network; Kipf and Welling 2017), and a…

Applications · Statistics 2024-11-05 Juan Sosa , Diego Martínez , Nicolás Guerrero

In this paper, we study the framework of collaborative inference, or edge ensembles. This framework enables multiple edge devices to improve classification accuracy by exchanging intermediate features rather than raw observations. However,…

Information Theory · Computer Science 2025-10-03 Mateus P. Mota , Mattia Merluzzi , Emilio Calvanese Strinati

We present the optimal relay-subset selection and transmission-time for a decode-and-forward, half-duplex cooperative network of arbitrary size. The resource allocation is obtained by maximizing over the rates obtained for each possible…

Information Theory · Computer Science 2008-12-22 Elzbieta Beres , Raviraj Adve

In this paper we investigate fusion rules for distributed detection in large random clustered-wireless sensor networks (WSNs) with a three-tier hierarchy; the sensor nodes (SNs), the cluster heads (CHs) and the fusion center (FC). The CHs…

Signal Processing · Electrical Eng. & Systems 2019-02-12 Sami A. Aldalahmeh , Saleh O. Al-Jazzar , Des McLernon , Syed Ali Raza Zaidi , Mounir Ghogho

In selective cooperative relaying only a single relay out of the set of available relays is activated, hence the available power and bandwidth resources are efficiently utilized. However, implementing selective cooperative relaying in…

Information Theory · Computer Science 2009-05-12 Diomidis S. Michalopoulos , Athanasios S. Lioumpas , George K. Karagiannidis , Robert Schober

This paper investigates the covert communications via cooperative jamming and relay selection in a wireless relay system, where a source intends to transmit a message to its destination with the help of a selected relay, and a warden…

Information Theory · Computer Science 2023-03-15 Chan Gao , Bin Yang , Dong Zheng , Xiaohong Jiang , Tarik Taleb

Network intrusion detection systems are an active area of research to identify threats that face computer networks. Network packets comprise of high dimensions which require huge effort to be examined effectively. As these dimensions…

Cryptography and Security · Computer Science 2017-07-19 Nour Moustafa , Jill Slay

This paper investigates the secure communication in a two-hop cooperative wireless network, where a buffer-aided relay is utilized to forward data from the source to destination, and a passive eavesdropper attempts to intercept data…

Information Theory · Computer Science 2018-02-20 Ji He , Jia Liu , Yulong Shen , Xiaohong Jiang

Graph Convolution Networks (GCNs) have significantly succeeded in learning user and item representations for recommendation systems. The core of their efficacy is the ability to explicitly exploit the collaborative signals from both the…

Information Retrieval · Computer Science 2024-11-11 Fan Liu , Shuai Zhao , Zhiyong Cheng , Liqiang Nie , Mohan Kankanhalli

Collaborative Intelligence (CI) has emerged as a promising framework for deploying Artificial Intelligence (AI) models on resource-constrained edge devices. In CI, the AI model is partitioned between the edge device and the cloud, with…

Signal Processing · Electrical Eng. & Systems 2024-11-26 Mengyang Wang , Jiahui Li , Mengyao Ma , Xiaopeng Fan

A limited feedback based dynamic resource allocation algorithm is proposed for a relay cooperative network with Orthogonal Frequency Division Multiplexing (OFDM) modulation. A communication model where one source node communicates with one…

Signal Processing · Electrical Eng. & Systems 2020-03-13 Yong Liu , Wen Chen

We analyze the level crossing rate (LCR) and the average fade duration of the output signal-to-noise-ratio (SNR) in generalized switched diversity systems. By using a common approach, we study these higher order statistics for two different…

Information Theory · Computer Science 2017-04-26 Adrián Sauco-Gallardo , Unai Fernández-Plazaola , Luis Díez , Eduardo Martos-Naya

Physical-layer network coding (PNC) is now well-known as a potential candidate for delay-sensitive and spectrally efficient communication applications, especially in two-way relay channels (TWRCs). In this paper, we present the error…

Information Theory · Computer Science 2017-09-14 Vaibhav Kumar , Barry Cardiff , Mark F. Flanagan

Convolutional neural networks (CNNs) have gained remarkable success in recent years. However, their performance highly relies on the architecture hyperparameters, and finding proper hyperparameters for a deep CNN is a challenging…

Neural and Evolutionary Computing · Computer Science 2023-02-28 An Chen , Zhigang Ren , Muyi Wang , Hui Chen , Haoxi Leng , Shuai Liu

In this paper, a symbol-level selective transmission for virtual full-duplex (FD) relaying networks is proposed, which aims to mitigate error propagation effects and improve system spectral efficiency. The idea is to allow two half-duplex…

Information Theory · Computer Science 2017-11-03 Jiancao Hou , Sandeep Narayanan , Na Yi , Yi Ma , Mohammad Shikh-Bahaei