28 citations · 42 across the 13 of their papers we have counts for
15 papers
Fast Learnings of Coupled Nonnegative Tensor Decomposition Using Optimal Gradient and Low-rank Approximation
Xiulin Wang, Jing Liu, Fengyu Cong
Tensor decomposition is a fundamental technique widely applied in signal processing, machine learning, and various other fields. However, traditional tensor decomposition methods e…
Modeling and Mitigating Errors in Belief Propagation for Distributed Detection
Younes Abdi, Tapani Ristaniemi
We study the behavior of the belief-propagation (BP) algorithm affected by erroneous data exchange in a wireless sensor network (WSN). The WSN conducts a distributed binary hypothe…
Optimization of the Belief-Propagation Algorithm for Distributed Detection by Linear Data-Fusion Techniques
Younes Abdi, Tapani Ristaniemi
In this paper, we investigate distributed inference schemes, over binary-valued Markov random fields, which are realized by the belief propagation (BP) algorithm. We first show tha…
The Max-Product Algorithm Viewed as Linear Data-Fusion: A Distributed Detection Scenario
Younes Abdi, Tapani Ristaniemi
In this paper, we disclose the statistical behavior of the max-product algorithm configured to solve a maximum a posteriori (MAP) estimation problem in a network of distributed age…
Secrecy Analysis and Learning-based Optimization of Cooperative NOMA SWIPT Systems
Furqan Jameel, Wali Ullah Khan, Zheng Chang +2
Non-orthogonal multiple access (NOMA) is considered to be one of the best candidates for future networks due to its ability to serve multiple users using the same resource block. A…
Internet of Autonomous Vehicles: Architecture, Features, and Socio-Technological Challenges
Furqan Jameel, Zheng Chang, Jun Huang +1
Mobility is the backbone of urban life and a vital economic factor in the development of the world. Rapid urbanization and the growth of mega-cities is bringing dramatic changes in…
Simultaneous Harvest-and-Transmit Ambient Backscatter Communications under Rayleigh Fading
Furqan Jameel, Tapani Ristaniemi, Imran Khan +1
Ambient backscatter communications is an emerging paradigm and a key enabler for pervasive connectivity of low-powered wireless devices. It is primarily beneficial in the Internet…
Applications of Backscatter Communications for Healthcare Networks
Furqan Jameel, Ruifeng Duan, Zheng Chang +3
Backscatter communication is expected to help in revitalizing the domain of healthcare through its myriad applications. From on-body sensors to in-body implants and miniature embed…
Sparse Nonnegative CANDECOMP/PARAFAC Decomposition in Block Coordinate Descent Framework: A Comparison Study
Deqing Wang, Fengyu Cong, Tapani Ristaniemi
Nonnegative CANDECOMP/PARAFAC (NCP) decomposition is an important tool to process nonnegative tensor. Sometimes, additional sparse regularization is needed to extract meaningful no…
Towards Service-oriented 5G: Virtualizing the Networks for Everything-as-a-Service
Zheng Chang, Zhenyu Zhou, Sheng Zhou +2
It is widely acknowledged that the forthcoming 5G architecture will be highly heterogeneous and deployed with a high degree of density. These changes over the current 4G bring many…
Queueing Game For Spectrum Access in Cognitive Radio Networks
Zheng Chang, Tapani Ristaniemi, Zhu Han
In this paper, we investigate the problem of spectrum access decision-making for the Secondary Users (SUs) in the cognitive radio networks. When the Primary Users (PUs) are absent…
Random Interruptions in Cooperation for Spectrum Sensing in Cognitive Radio Networks
Younes Abdi, Tapani Ristaniemi
In this paper, a new cooperation structure for spectrum sensing in cognitive radio networks is proposed which outperforms the existing commonly-used ones in terms of energy efficie…
Sequence-based Detection of Sleeping Cell Failures in Mobile Networks
Fedor Chernogorov, Sergey Chernov, Kimmo Brigatti +1
This article presents an automatic malfunction detection framework based on data mining approach to analysis of network event sequences. The considered environment is Long Term Evo…
Energy Efficient Resource Allocation and User Scheduling for Collaborative Mobile Clouds with Hybrid Receivers
Zheng Chang, Jie Gong, Tapani Ristaniemi +1
In this paper, we study the resource allocation and user scheduling algorithm for minimizing the energy cost of data transmission in the context of OFDMA collaborative mobile cloud…
Diffusion map for clustering fMRI spatial maps extracted by independent component analysis
Tuomo Sipola, Fengyu Cong, Tapani Ristaniemi +4
Functional magnetic resonance imaging (fMRI) produces data about activity inside the brain, from which spatial maps can be extracted by independent component analysis (ICA). In dat…