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Volume 2 No. 1
05 March 2021
Editorial of Special Issue for WOCC 2020
Xin Jiang
2021, 2(1): 0-I. doi:
10.23919/ICN.2021.0006
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Toward long-range adaptive communication via information centric networking
Anthony Dowling,Lauren Huie,Laurent Njilla,Hong Zhao,Yaoqing Liu
2021, 2(1): 1-15. doi:
10.23919/ICN.2021.0001
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As Internet of Things (IoT) applications become more prevalent and grow in their use, a limited number of wireless communication methods may be unable to enable dependable, robust delivery of information. It is necessary to enable adaptive communication and interoperability over a variety of wireless communication media to meet the requirements of large-scale IoT applications. This paper utilizes Named Data Networking (NDN), an up-and-coming Information-Centric Network architecture, to interconn...
Revisiting the nonlinear Gaussian noise model for hybrid fiber spans
Ioannis Roudas,Jaroslaw Kwapisz,Xin Jiang
2021, 2(1): 30-49. doi:
10.23919/ICN.2020.0018
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We rederive from first principles and generalize the theoretical framework of the nonlinear Gaussian noise model to the case of coherent optical systems with multiple fiber types per span and ideal Nyquist spectra. We focus on the accurate numerical evaluation of the integral for the nonlinear noise variance for hybrid fiber spans. This task consists in addressing four computational aspects: (1) Adopting a novel transformation of variables (other than using hyperbolic coordinates) that changes t...
Performance analysis of a low-complexity nonorthogonal multiple access scheme in visible light communication downlinks using pulse modulations
Jian Song,Tian Cao,Hongming Zhang
2021, 2(1): 50-65. doi:
10.23919/ICN.2020.0024
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Although Successive Interference Cancellation (SIC) decoding is widely adopted in Nonorthogonal Multiple Access (NOMA) schemes for the recovery of user data at acceptable complexity, the imperfect SIC would cause Error Propagation (EP), which can severely degrade system performance. In this work, we propose an SIC-free NOMA scheme in pulse modulation based Visible Light Communication (VLC) downlinks, including two types of users with different data rate requirements. Low bit-rate users adopt on-...
CNN and MLP neural network ensembles for packet classification and adversary defense
Bruce Hartpence,Andres Kwasinski
2021, 2(1): 66-82. doi:
10.23919/ICN.2020.0023
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100
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Machine learning techniques such as artificial neural networks are seeing increased use in the examination of communication network research questions. Central to many of these research questions is the need to classify packets and improve visibility. Multi-Layer Perceptron (MLP) neural networks and Convolutional Neural Networks (CNNs) have been used to successfully identify individual packets. However, some datasets create instability in neural network models. Machine learning can also be subje...
Erratum to "Interference management in 6G space and terrestrial integrated networks: Challenges and approaches" by Shi Yan, Xueyan Cao, Zile Liu, and Xiqing Liu
Shi Yan,Xueyan Cao,Zile Liu,Xiqing Liu
2021, 2(1): 83-83. doi:
10.23919/ICN.2021.0003
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