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The TREND experimental activities on "green" communication networks

The TREND experimental activities on "green" communication n...

2013 24th Tyrrhenian International Workshop on Digital Communications - Green Information and Communications Technology, TIWDC 2013

作者： Meo, Michela Zhang, Yi Hu, Yige Idzikowski, Filip Budzisz, Lukasz Ganji, Fatemeh Haratcherev, Ivaylo Conte, Alberto Cianfrani, Antonio Chiaraviglio, Luca Coiro, Angelo Bolla, Raffaele Jaramillo Ortiz, Olga Bruschi, Roberto Gonzalez, Roberto Guerrero, Carmen Tego, Edion Matera, Francesco Keranidis, Stratos Kazdaridis, Giannis Korakis, Thanasis Dipartimento di Elettronica e Telecomunicazioni Politecnico di Torino Italy Telecommunication Networks Group Technische Universität Berlin Germany Networking Technology Domain Alcatel-Lucent Bell Labs. Nozay France DIET Department University of Rome Sapienza Italy Telecommunication Networks and Telematics Lab. RU of CNIT c/o University of Genoa Italy Departamento de Ingeniería Telemática Universidad Carlos III de Madrid Spain Fondazione Ugo Bordoni Rome Italy Department of Computer and Communication Engineering University of Thessaly Greece

ISBN: (纸本)9781479907564

Aimed at answering important questions about the energy demand of current telecom infrastructure and the design of sustainable and energy-efficient future networks, the research of a number of European partners is brought together in the TREND project. In this paper we present the achievements of the Work Package coordinating the experimental activities of the project - WP4. Although not presenting a completely finished portrait yet, the results shown help building a better global view on the "big picture" in the field of energy-efficient networking. © 2013 IEEE.

关键词： Energy efficiency

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EABC: Energy-aware Centrality-based Caching for Named Data Networking in the IoT

EABC: Energy-aware Centrality-based Caching for Named Data N...

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IEEE International Symposium on World of Wireless Mobile and Multimedia networks (WoWMoM)

作者： Xingyun He Hu Liu Wuyungerile Li Alvin Valera Winston K.G. Seah Inner Mongolia Key Lab. of Wireless Networking & Mobile Computing Engineering Research Center of Ecological Big Data Ministry of Education School of Computer Science Inner Mongolia University Hohhot China Wireless Networks Research Group School of Engineering and Computer Science Victoria University of Wellington Wellington New Zealand

ISBN: (数字)9798350394665

ISBN: (纸本)9798350394672

Named Data Networking (NDN) is an information-centric internet architecture that delivers packets based on the name of the content in the packet. A key component of NDN is the caching strategy designed to reduce total network latency and load on content producers. To improve the speed and reliability of web content delivery, existing caching strategies typically cache content on a large number of intermediate nodes, which incur significant energy consumption and memory overhead. However, in Internet of Things (IoT) scenarios, memory and energy of nodes are scarce resources. Therefore, in NDN-based IoT applications, traditional caching strategies can cause node failures due to energy depletion, which can significantly reduce the network operational lifetime as well as create problems that caching is supposed to solve. In this paper, a caching strategy based on node centrality and energy availability, called Energy-aware Approximate Betweenness Centrality (EABC) is proposed for NDN-based IoT. EABC uses a topology-based heuristic to cache data content on nodes with high centrality and makes caching decisions based on the remaining energy of the nodes. We evaluate EABC using simulations based on ndnSIM in different topologies and compare it with several existing NDN caching strategies. The results show that EABC performs better in different types of network topologies, reduces the average transmission delay of data and balances the energy consumption of highly central nodes, thus extending the network lifetime.

关键词： Wireless communication Energy consumption Network topology Memory management Topology Delays Internet of Things

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Admission Control with Latency Considerations for 5G Mobile Edge Computing

Admission Control with Latency Considerations for 5G Mobile ...

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IEEE International Symposium on World of Wireless Mobile and Multimedia networks (WoWMoM)

作者： Ye Zhang Wuyungerile Li Winston K.G. Seah Inner Mongolia Key Lab. of Wireless Networking & Mobile Computing Engineering Research Center of Ecological Big Data Ministry of Education School of Computer Science Inner Mongolia University Hohhot China Wireless Networks Research Group School of Engineering and Computer Science Victoria University of Wellington Wellington New Zealand

The fifth generation (5G) mobile network is a new generation of broadband mobile communication technology with the potential to address the increasing demands of new user services and applications that have stringent low latency and high bandwidth requirements. Besides the enhanced mobile broadband (eMBB) which is an evolution of broadband services from previous generations, the ultra reliable low latency communication (URLLC) service comes with stringent delay requirements that are needed to support new applications like autonomous vehicles, augmented/virtual reality, etc. Mobile or multiple access edge computing (MEC) emerged to provide services and computing resources for users at the network edge to provide faster access speeds and lower end-to-end delays. To better meet user needs and maximize resource utilization, network resources need to be allocated and managed efficiently. Admission control for user requests is one of the methods used that can effectively prevent network congestion, thereby improving the overall performance of the system. In this paper, we propose a RED-based Admission Control with Latency Considerations (REDAL) algorithm for user admission control that aims to increase throughput, meet users’ delay requirements and reduce packet discard rate. By explicitly accounting for user traffic delay constraints and bandwidth requirements, we are able to meet the strict delay constraints of URLLC traffic while meeting the bandwidth requirements of eMBB traffic. We validate our approach in an MEC scenario to demonstrate high resource utilization and also keeping the request discard rate below 20%.

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Performance analysis of two-hop-relay cellular systems with queueing capability

Performance analysis of two-hop-relay cellular systems with ...

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2015 International Conference on Information and Communications Technologies, ICT 2015

作者： Lu, Weifeng Gu, Mengmeng Yang, Luxi College of Computer Nanjing University of Posts and Telecommunications Nanjing210023 China School of Information Science and Engineering SouthEast University Nanjing210096 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing Jiangsu210023 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Jiangsu Province Nanjing Jiangsu210023 China

ISBN: (纸本)9781849199940

In this paper, we present a two-hop-relay WCDMA cellular system with queueing capability, where a call can wait in the incoming buffer at the congested Base Transceiver Station (BTS) if no channel is immediately available, so as to reduce the call blocking rate. We develop an analytic model based on Multidimensional Markov chains. Then based on this model, we can obtain the average transmission rate and the queuing delay performance of the system respectively. Finally, through numerical calculation, we analyze the impact of the various parameters on the performance of the two-hop-relay WCDMA cellular system with queueing capability.

关键词： Queueing theory

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Performance evaluation for caching-based content distribution in backhaul-limited small cell networks

Performance evaluation for caching-based content distributio...

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International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Ronghui Hou Yu Cheng Lin X. Cai Hongcheng Zhuang State Key Lab of Integrated Service Networks Xidian University Xian China Department of Electrical and Computer Engineering Illinois Institute of Technology Chicago USA R&D Centre Huawei Technologies Shenzhen China

ISBN: (纸本)9781467376884

Distributed caching at the edge can reduce the backhaul resource consumption, which is considered as a major way to improve network capacity in dense small cell networks. In this paper, we consider the caching-based content distribution in dense small cell networks. In such a content distribution system, the most critical metric is the user request blocking probability. A user's request will be rejected if the content is not cached at the associated SBS and there is no backhaul resource available at the SBS. In this paper, we develop an analytic model to derive the blocking probability as the function of cache capacity, available backhaul resource, and request arrival rates. Based on the analysis, the optimal resource configuration is determined to minimize the blocking probability. Extensive simulations are conducted to validate our analysis.

关键词： Analytical models Probability Capacity planning Electronic mail Wireless communication Markov processes Steady-state

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A Study of IEEE 802.15.6 Association Protocols

A Study of IEEE 802.15.6 Association Protocols

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IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

作者： Jing Feng Xin Huang Yulin Lu Ruiyang Xu Zheng Yan Computer Science and Software Engineering Xi'an Jiaotong-Liverpool University Suzhou China Department of Communications and Networking Aalto University Espoo Finland State Key Lab of Integrated Services Networks Xidian University Xian China

ISBN: (纸本)9781467379533

A body area network is a network of small and portable devices around human bodies. It enables a number of interesting applications including elderly healthcare and chronic diseases monitoring. Since body area networks are used to collect sensitive information, they require proper security protections. IEEE Std 802.15.6 is a standard for body area networks, it also provides mechanisms for strong security. In this paper, security association protocols proposed in the standard are reviewed. First of all, several security flaws are found. In addition, we also get some interesting findings from the standpoint of performance and usability.

关键词： Protocols Public key Nickel Message authentication IEEE 802.15 Standard

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Towards defending against adversarial examples via attack-invariant features

arXiv

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arXiv 2021年

作者： Zhou, Dawei Liu, Tongliang Han, Bo Wang, Nannan Peng, Chunlei Gao, Xinbo State Key Laboratory of Integrated Services Networks School of Telecommunications Engineering Xidian University China Trustworthy Machine Learning Lab School of Computer Science The University of Sydney Australia Department of Computer Science Hong Kong Baptist University Hong Kong State Key Laboratory of Integrated Services Networks School of Cyber Engineering Xidian University China Chongqing Key Laboratory of Image Cognition Chongqing University of Posts and Telecommunications China

Deep neural networks (DNNs) are vulnerable to adversarial noise. Their adversarial robustness can be improved by exploiting adversarial examples. However, given the continuously evolving attacks, models trained on seen types of adversarial examples generally cannot generalize well to unseen types of adversarial examples. To solve this problem, in this paper, we propose to remove adversarial noise by learning generalizable invariant features across attacks which maintain semantic classification information. Specifically, we introduce an adversarial feature learning mechanism to disentangle invariant features from adversarial noise. A normalization term has been proposed in the encoded space of the attack-invariant features to address the bias issue between the seen and unseen types of attacks. Empirical evaluations demonstrate that our method could provide better protection in comparison to previous state-of-theart approaches, especially against unseen types of attacks and adaptive attacks. Copyright © 2021, The Authors. All rights reserved.

关键词： Deep neural networks

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Spectral and energy efficiency of multi-pair massive MIMO relay network with hybrid processing

arXiv

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arXiv 2017年

作者： Xu, Wei Liu, Jian Jin, Shi Dong, Xiaodai National Mobile Communications Research Laboratory Southeast University Nanjing210096 China State Key Lab of Integrated Services Networks Xidian University Xi'an China Department of Electrical and Computer Engineering University of Victoria Canada

We consider a multi-pair massive multiple-input multiple-output (MIMO) relay network, where the relay is equipped with a large number, N, of antennas, but driven by a far smaller number, L, of radio frequency (RF) chains. We assume that K pairs of users are scheduled for simultaneous transmission, where K satisfies 2K = L. A hybrid signal processing scheme is presented for both uplink and downlink transmissions of the network. Analytical expressions of both spectral and energy efficiency are derived with respect to the RF chain number under imperfect channel estimation. It is revealed that, under the condition N > [4L2/π], the transmit power of each user and the relay can be respectively scaled down by 1/√N and 2K/√N if pilot power scales with signal power, or they can be respectively scaled down by 1/N and 2K/N if the pilot power is kept fixed, while maintaining an asymptotically unchanged spectral efficiency (SE). While regarding energy efficiency (EE) of the network, the optimal EE is shown to be achieved when Pr = 2KPs, where Pr and Ps respectively refer to the transmit power of the relay and each source terminal. We show that the network EE is a quasi-concave function with respect to the number of RF-chains which, therefore, admits a unique globally optimal choice of the RF-chain number. Numerical simulations are conducted to verify our observations. Copyright © 2017, The Authors. All rights reserved.

关键词： Energy efficiency

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Learning-Based State Estimation for Automated Lane-Changing

Learning-Based State Estimation for Automated Lane-Changing

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International Conference on Intelligent Transportation

作者： Won Yong Ha Sayan Chakraborty Xiaoyi Lin Kaan Ozbay Zhong-Ping Jiang Department of Electrical and Computer Engineering Control and Networks Lab New York University Brooklyn NY U.S.A. Department of Civil and Urban Engineering C2SMARTER Center New York University Brooklyn NY U.S.A.

ISBN: (数字)9798331505929

ISBN: (纸本)9798331505936

This paper introduces a learning-based optimal control strategy enhanced with nonmodel-based state estimation to manage the complexities of lane-changing maneuvers in autonomous vehicles. Traditional approaches often depend on comprehensive system state information, which may not always be accessible or accurate due to dynamic traffic environments and sensor limitations. Our methodology dynamically adapts to these uncertainties and sensor noise by iteratively refining its control policy based on real-time sensor data and reconstructed states. We implemented an experimental setup featuring a scaled vehicle equipped with GPS, IMUs, and cameras, all processed through an Nvidia Jetson AGX Xavier board. This approach is pivotal as it addresses the limitations of simulations, which often fail to capture the complexity of dynamic real-world conditions. The results from real-world experiments demon-strate that our learning-based control system achieves smoother and more consistent lane-changing behavior compared to traditional direct measurement approaches. This paper underscores the effectiveness of integrating Adaptive Dynamic Program-ming (ADP) with state estimation techniques, as demonstrated through small-scale experiments. These experiments are crucial as they provide a practical validation platform that simulates real-world complexities, representing a significant advancement in the control systems used for autonomous driving.

关键词： Adaptation models Uncertainty Noise Cameras Complexity theory Vehicle dynamics State estimation Autonomous vehicles Testing Global Positioning System

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Guest Editorial: Distributed Management of networks and Services

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Journal of Network and Systems Management 2004年第3期12卷 293-295页

作者： John, Ajita Stiller, Burkhard Networking Systems Research Department Lincroft New Jersey University of Federal Armed Forces Munich UniBwM Information Systems Laboratory IIS Neubiberg Germany Swiss Federal Institute of Technology ETH Zurich Computer Engineering and Networks Lab TIK Zurich Switzerland

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