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Dynamic multi-hop multipath RMSA and traffic grooming in OFDM-based sliceable elastic optical networks

Journal of High Speed Networks 2023年第2期29卷 85-103页

作者： Lin, Hwa-Chun Tseng, Wei-Te Department of Computer Science National Tsing Hua University No. 101 Section 2 Kuang-Fu Road Hsinchu Taiwan Institute of Communications Engineering National Tsing Hua University No. 101 Section 2 Kuang-Fu Road Hsinchu Taiwan

In elastic optical networks (EON), routing, modulation selection, and spectrum assignment (RMSA) is crucial in provisioning connection requests. Multipath RMSA offers a number of benefits including provisioning of ultra-high bandwidth demands and better utilization of fragmented spectrum resource. By Combining with traffic grooming, multipath RMSA and traffic grooming is able to provide better utilization of network resource in provisioning connection requests. Adding multi-hop routing mechanism to multipath RMSA and traffic grooming increases the flexibility for selecting paths resulting in higher probability of successfully finding routing paths for connection requests. Dynamic multipath RMSA problem in EON has been investigated extensively in the literature. Dynamic multi-hop multipath RMSA and traffic grooming problem in EON is far from been well studied. This paper proposes an algorithm for the dynamic multi-hop multipath RMSA and traffic grooming problem in OFDM-based elastic optical networks with sliceable bandwidth-variable transponders. Performance of the proposed algorithm is studied via simulation. Our simulation results show that the proposed algorithm yields lower bandwidth blocking ratio than an existing algorithm. © 2023 – IOS Press. All rights reserved.

关键词： Orthogonal frequency division multiplexing

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Compensating for Bias due to Rounding for Fixed-Point FFT

Compensating for Bias due to Rounding for Fixed-Point FFT

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Communication Systems (ECCS), European Conference on

作者： Trevor Spiteri Department of Communications and Computer Engineering University of Malta Msida Malta

The fixed-point FFT is used widely, particularly in hardware implementations where floating-point arithmetic is not always feasible. To avoid overflow in such implementations, a popular method is to shift values one bit to the right after every FFT stage. Rounding down for this scaling introduces a bias which degrades the SQNR. To avoid this degradation, sometimes convergent rounding is used. In this paper the computationally cheap rounding down is still used, and we observe that the bias is independent of the input signal, so a method is presented to compute the expected final bias ahead of time. During the FFT computation, one subtraction per value is required instead of the more complex convergent rounding, at the cost of only a small additional memory requirement. Apart from more efficient computation, the SQNR is also improved by 0.3 dB compared to using convergent rounding on all tested inputs.

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Enhancing Computation Offloading by Integrating MEC and IRS

Enhancing Computation Offloading by Integrating MEC and IRS

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IEEE Future Networks World Forum (FNWF)

作者： Hafiz Hasnain Imtiaz Suhua Tang Department of Computer and Network Engineering The University of Electro-Communications Tokyo

Integrating Mobile Edge Computing (MEC) and Intelligent Reflecting Surfaces (IRS) promises to revo-lutionize wireless computing networks by supporting new latency-sensitive applications and computation-intensive tasks, e.g., industrial Internet of Things automation in Industry 5.0. MEC enhances the devices' computational capability, increasing computational energy efficiency and reducing latency, while IRS optimizes signal propagation. This paper studies how to improve the computational capabilities of low-power devices through computation offloading based on the integration of MEC and IRS. To achieve the desired objective, we formulate a joint optimization problem that is non-linear, non-convex, and NP-hard in nature; therefore, to achieve the most efficient solution, we employ the block coordinate descent (BCD) approach that decouples the original optimization problem into a series of subproblems and solves them iteratively using the convex optimization toolbox, e.g., CVX. Moreover, numer-ical results demonstrate a fundamental tradeoff between local, binary, and partial offloading schemes, which reveals that the proposed scheme outperforms the benchmark and indicates its effectiveness in next-generation wireless communication. Our analysis demonstrates the scheme's exceptional stability and energy efficiency, particularly in the hybrid IRS mode. We also highlight the adaptability of our approach to various data sizes.

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Evaluation of LoRaWAN for Remote Health Monitoring: A Preliminary Study

Evaluation of LoRaWAN for Remote Health Monitoring: A Prelim...

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2024 IEEE Conference on Standards for communications and Networking, CSCN 2024

作者： Katzis, Konstantinos Evetovic, Nina Cloteaux, Brian Sayrafian, Kamran Bajic, Dragana European University Cyprus Department of Computer Science and Engineering Nicosia Cyprus University of Novi Sad Department of Communications & Signal Processing Novi Sad Serbia Information Technology Laboratory National Institute of Standards & Technology MD United States

ISBN: (纸本)9798331507428

Lack of sufficient patient monitoring data patterns and scenarios are among the challenges for accurate traffic modeling and network performance optimization when considering IoT medical devices. This paper examines how health data-traffic models can be used to investigate the capability and proper configuration of Long-Range Wide Area Networks (LoRaWAN) for remotely monitoring patients in a hospital environment or at home. For the hospital environment, it is assumed that there are two types of patients at any given time i.e., patients in the intensive care unit (ICU) or surgical wards and those located in the general medical wards. The transmission times of the health data from patients in the ICU/Surgical wards and those in general wards are randomly distributed within one and four-hour periods, respectively. For personal health monitoring devices that people use at their homes, a two-state Markov chain is used to model the generated traffic pattern. Preliminary results indicate that LoRaWAN may be used to support a significant number of nodes with sufficient reliability in both scenarios. © 2024 IEEE.

关键词： Electronic health record

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Internet of Things Protocols (IoTp) Literature Review 7

Internet of Things Protocols (IoTp) Literature Review

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7th International Conference on Future Networks and Distributed Systems, ICFNDS 2023

作者： Alamery, Ali Shehab, Mohanad Abd Mahmood, Omar Abdulkareem Hammadi, Yousif I Aziz, Ahmed Muthanna, Mohammed Saleh Ali Balad Al-hadeth Group Company Baghdad Iraq Department Of Medical Instruments Engineering Techniques Bilad Alrafidain University College Diyala Iraq Electrical Engineering Department College Of Engineering Mustansiriyah University Baghdad Iraq Department Of Computer Science Faculty Of Computer And Artificial Intelligence Benha University Egypt Department Of International Business Management Tashkent State University Of Economics Tashkent Uzbekistan Department Of Communications Engineering College Of Engineering University Of Diyala Diyala Iraq Institute Of Computer Technologies And Information Security Southern Federal University Taganrog347922 Russia

ISBN: (纸本)9798400709036

Considering today's variety of technologies and devices connected to the network, a huge number of manufacturers, there are many problems of their interaction and the need to create and adopt specialized communication standards and protocols. This article is devoted to the description of various protocols proposed by the IEEE, IETF and ITU for use in the framework of the concept of the Internet of Things. The article includes a description of the protocols of the application, transport, network and data link layers of the TCP / IP model. It also discusses protocols designed specifically to meet IoT requirements. A brief description of the protocols and the principle of operation of each of them are given. This review article contributes to a more correct choice of protocols when building a network, detecting and managing devices, and establishing interaction between objects of the Internet of Things. © 2023 ACM.

关键词： Internet of things

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Analysis of Classification and Stage-wise Prediction Techniques of Melanoma 4

Analysis of Classification and Stage-wise Prediction Techniq...

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4th IEEE Asian Conference on Innovation in Technology, ASIANCON 2024

作者： Sudha, D. Naresh, R. Srm Institute of Science and Technology Department of Computer Science and Engineering Kattankulathur Chengalpattu Tamilnadu Chennai603 203 India Srm Institute of Science and Technology Department of Networking and Communications Kattankulathur Chengalpattu Tamilnadu Chennai603 203 India

ISBN: (纸本)9798350354218

Melanoma prediction is a skin cancer, and one in seventeen people is affected by this disease. Identifying and classifying early stages is an important research area in this field. Different research has been conducted in this field. This disease spreads to every body part, so early prediction and classification are very important for medical diagnosis. This paper presented a brief survey of melanoma prediction, classification and early-stage analysis and predictions. In particular, machine- and deep-learning-based techniques are used to analyze and predict melanoma. In this paper, different dataset details and metrics for evaluation are also presented in the assessment and implementation of models. Finally, the future direction of the research is also given for further study. © 2024 IEEE.

关键词： Prediction models

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Harnessing the Zero-Shot Power of Instruction-Tuned Large Language Model for Guiding End-to-End Speech Recognition

arXiv

引用

arXiv 2023年

作者： Higuchi, Yosuke Ogawa, Tetsuji Kobayashi, Tetsunori Department of Communications and Computer Engineering Waseda University Tokyo Japan

We propose to utilize an instruction-tuned large language model (LLM) for guiding the text generation process in automatic speech recognition (ASR). Modern LLMs are adept at performing various text generation tasks through zero-shot learning, prompted with instructions designed for specific objectives. This paper explores the potential of LLMs to derive linguistic information that can facilitate text generation in end-to-end ASR models. Specifically, we instruct an LLM to correct grammatical errors in an ASR hypothesis and use the LLM-derived representations to refine the output further. The proposed model is built on the joint CTC and attention architecture, with the LLM serving as a front-end feature extractor for the decoder. The ASR hypothesis, subject to correction, is obtained from the encoder via CTC decoding and fed into the LLM along with a specific instruction. The decoder subsequently takes as input the LLM output to perform token predictions, combining acoustic information from the encoder and the powerful linguistic information provided by the LLM. Experimental results show that the proposed LLM-guided model achieves a relative gain of approximately 13% in word error rates across major benchmarks. Copyright © 2023, The Authors. All rights reserved.

关键词： Decoding

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Simultaneous Wireless Information and Power Transfer for STAR-RIS Assisted UAV Networks

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IEEE Internet of Things Journal 2025年第12期12卷 19915-19928页

作者： Xie, Wenwu Qin, Lijuan Wang, Ji Wu, Weimin Li, Xingwang Xu, Hongbo Yang, Liang Hunan Institute of Science and Technology School of Information Science and Engineering Yueyang414006 China Central China Normal University Department of Electronics and Information Engineering Wuhan430079 China Huazhong University of Science and Technology School of Electronic Information and Communications Wuhan430074 China Henan Polytechnic University School of Physics and Electronic Information Engineering Jiaozuo454003 China Hunan University College of Computer Science and Electronic Engineering Changsha410082 China

This paper explores the benefits of deploying simultaneously transmitting and reflecting reconfigurable intelligence surfaces (STAR-RIS) in unmanned aerial vehicle (UAV) networks with simultaneous wireless information and power transfer. In the proposed system, the UAV utilizes STAR-RIS to radiate energy-carrying information signals (ECISs) to multiple outdoor energy receivers and multiple indoor information receivers without flying over indoor no-fly zone. Based on the UAV propulsion power formula, we successively introduce fly-hover-broadcast (FHB) and path discretization (PD) protocols to minimize the total UAV energy consumption by jointly using the extended penalty function and optimization algorithm based on the expected value of channel status information, where the UAV flight constraints, no-fly constraint, minimized energy or information threshold constraints, and STAR-RIS phase-shift constraints are met. The FHB protocol, which requires the UAV to radiate the ECISs to the users at only a few hovering positions, provides a lower-bound performance of UAV energy consumption, while the PD protocol is used to discuss the general situation of the ECISs during UAV flight. Simulation results demonstrate that the utilization of the STAR-RIS in UAV networks outperforms the traditional RIS in improving energy efficiency and extending UAV flight time. © 2014 IEEE.

关键词： Energy utilization

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Over Two-octave Supercontinuum Generation for OAM19,1 Mode in Air-core Ring Fiber

Over Two-octave Supercontinuum Generation for OAM19,1 Mode i...

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2024 Photonic Networks and Devices, NETWORKS 2024

作者： Wu, Xiaoke Wang, Pengfei Yang, Jian Liu, Yuanpeng Pan, Zhongqi Yue, Yang School of Information and Communications Engineering Xi’an Jiaotong University Xi’an710049 China Institute of Modern Optics Nankai University Tianjin300350 China Department of Electrical & Computer Engineering University of Louisiana at Lafayette LafayetteLA70504 United States

An air-core ring fiber with flat and near-zero dispersion is designed and simulated for broadband OAM19,1 supercontinuum generation. A 2410-nm supercontinuum is formed from 770 nm to 3180 nm at -40 dB, covering more t... 详细信息

关键词： Supercontinuum generation

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NextGen Robot: An Efficient and Effortless Wall Painting Robot Design Based on Artificial Intelligence (AI) Principles

NextGen Robot: An Efficient and Effortless Wall Painting Rob...

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2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2024

作者： Mary, S. Jeya Sajithra, S. Divya, G. Lakshmi, N. Giri, Pallavi Al-Qawasmi, K. Einstein College of Engineering Department of Ece Tirunelveli India R.M.K. Engineering College Department of Computer Science and Engineering Chennai India Srm Institute of Science and Technology Faculty of Engineering and Technology Department of Networking and Communications TamilNadu Kattankulathur India S.A. Engineering College Department of Master of Computer Applications Chennai India Laxminarayan Innovation Technological University Department of Civil engineering Nagpur India Zarqa University Faculty of Information Technology Department of Cyber Security Zarqa Jordan University of Business and Technology Jeddah21448 Saudi Arabia

ISBN: (纸本)9798331543617

A fully autonomous wall-painting robot is the focus of this paper's development, expansion, and implementation efforts. Research efforts have not communicated much about interior wall painting. Painters' eyes and respiratory systems are particularly vulnerable to the toxic chemicals used in the industry. Additionally, the monotony, time commitment, and physical exertion inherent in the painting process are hard to resist. The entire construction process may be enhanced and time and labor saved by using robots and human workers appropriately into building jobs. The Dynamic Smart Painting Robo Model (DSPRM) is a novel robot that this study introduces for intense wall painting. To test its efficacy, it is crossvalidated with the usual technique, the usual Painting Bot (CPB). Furthermore, it would provide an opportunity to lessen or eliminate human exposure to challenging and dangerous conditions, which would address most of the issues, provide protection, and make it happen more often. An autonomous robotic painting system is being developed as a result of the wall painting robot. © 2024 IEEE.

关键词： Machine design

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