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IEEE International Conference on e-Science and Grid Computing

作者： Yuri Demchenko Zhiming Zhao Jayachander Surbiryala Spiros Koulouzis Zeshun Shi Xiaofeng Liao Jelena Gordiyenko University of Amsterdam System and Networking Lab Amsterdam The Netherlands Department of Electrical Engineering and Computer Science University of Stavanger Stavanger Norway Agile Telecom

ISBN: (数字)9781728124513

ISBN: (纸本)9781728124520

This paper presents recommendations on the design and pilot implementation of the DevOps and Cloud based Software Development curricula for computer Science and Software engineering masters. The central part of proposed approach is the Body of Knowledge in the DevOps technologies for Software engineering (DevOpsSE BoK) that defines a set Knowledge Areas and Knowledge Units required for SE professionals to work efficiently as DevOps engineer or application developer. Defining DevOpsSE-BoK provides a basis for defining required professional competences and skills and allows consistent curricula structuring and profiling. The paper also reports on the experience of the first course run on 2018/2019 academic year at the University of Amsterdam. The paper presents the structure of the course and explains what instructional methodologies have been used for course development, such as project based learning that facilitates the students' team based skills both in mastering Agile development process and skills sharing. The paper provides a short summary of the generally used DevOps definitions, concepts, models and tools, specifically focusing on the cloud based DevOps tools for software development, deployment and operation that allows the main DevOps principle of continuous development and continuous improvement which are critical for modern agile data driven companies.

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Optimal QoS-Driven Power Allocation for Energy Harvesting Wireless Ad-Hoc Networks Using FBC

Optimal QoS-Driven Power Allocation for Energy Harvesting Wi...

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IEEE Global Communications Conference

作者： Xi Zhang Jingqing Wang H. Vincent Poor Department of Electrical and Computer Engineering Networking and Information Systems Laboratory Texas A&M University College Station TX USA Department of Electrical Engineering Princeton University Princeton NJ USA

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

In the last few decades, the statistical delay-bounded quality-of-service (QoS) technique has been proposed and investigated to support delay-bounded 5G multimedia wireless services In addition, energy harvesting (EH) based systems, which enable mobile devices to harvest energy from various external sources, have been designed to address the energy scarcity problem. Researchers have recently integrated EH based systems with short-packet communications for their potential benefits of small payloads and low latency to support reliable multimedia data transmissions. Under the short delay requirements for the low-latency 5G multimedia wireless services, it is not ideal to apply the traditional Shannon capacity for modeling the data rate under the error-rate bounded in the non-asymptotic regime. Accordingly, researchers have developed the finite wireless data transmission rate in the non-asymptotic regime. However, it is challenging to determine the convexity of the effective-capacity maximization problem subject to the statistical delay-bounded and error-rate bounded QoS constraints due to the complexity of analyzing the maximization problem in the non-asymptotic regime. To overcome these challenges, we design the EH based cross-layer optimization scheme in supporting the statistical delay-bounded and error-rate bounded QoS requirements in the finite blocklength regime in the following steps. First, we characterize the EH based system models under finite blocklength coding (FBC). Second, we derive and analyze the convexity of the e-effective capacity maximization problem for our proposed EH scheme in the finite blocklength regime. Finally, we conduct several simulation evaluations which validate our proposed EH scheme under the statistical delay-bounded and error-rate bounded QoS constraints in the finite blocklength regime.

关键词： Quality of service Ad hoc networks Wireless communication Data communication Error probability Energy harvesting 5G mobile communication

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Minimum-Energy and Error-Rate for URLLC Networks Over Nakagami-m Channels: A Finite-Blocklength Analysis

Minimum-Energy and Error-Rate for URLLC Networks Over Nakaga...

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IEEE Global Communications Conference

作者： Xi Zhang Qixuan Zhu H. Vincent Poor Department of Electrical and Computer Engineering Networking and Information Systems Laboratory Texas A&M University College Station TX USA Department of Electrical Engineering Princeton University Princeton NJ USA

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

The fifth generation (5G) wireless networks aim at providing a wide range of time-sensitive multimedia services and applications to satisfy users' stringent requirements on delay-bounded quality of service (QoS). One of the important requirements for 5G multimedia wireless networks is to efficiently support the ultra-reliable and low-latency communications (URLLC). Finite blocklength coding (FBC) is a promising candidate technique to support URLLC services, where mobile users transmit short packets to upper-bound the transmission delay of multimedia traffic. In this paper, we model and analyze the packet-block error rate for URLLC under the Nakagami-m fading channel in the finite blocklength regime. Then, we derive the minimum energy per bit for data transmissions in the Nakagami-m fading channel under the constraint of block error rate. To derive closed-form expressions for the minimum energy per bit, we obtain achievability and converse bounds on the minimum energy per bit, and show that these two bounds are equal to each other. Finally, we evaluate our derived minimum energy per bit in the finite blocklength regime through numerical analyses, and compare it with those under the Rayleigh fading channel and the wideband approximation, validating our derived analytical results.

关键词： Fading channels Error analysis Decoding Wireless networks Encoding Antennas 5G mobile communication

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Neyman-Pearson Criterion Based Optimal Hierarchical Caching Over D2D Wireless Ad-Hoc Networks

Neyman-Pearson Criterion Based Optimal Hierarchical Caching ...

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IEEE Global Communications Conference

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

Caching in mobile devices is a new paradigm to revolutionize the traditional data content (i.e., files) sharing methods in wireless cellular networks. By caching popular data content items in mobile devices and disseminating them through device-to-device (D2D) communications, the wireless cellular network can improve its area spectral efficiency, save the base station bandwidth consumption, and reduce the transmission delay of downloading. Caching is closely related to data popularity prediction, but how to accurately predict the future popularity profile has not been well understood. Moreover, although the hierarchical caching architecture has been shown to yield more benefits than flat caching strategies, the challenge of designing an optimal hierarchical caching scheme has not been thoroughly addressed. In this paper, we use a Neyman-Pearson hypothesis testing mechanism to predict the future data popularity, and also develop optimal hierarchical caching schemes over D2D wireless ad-hoc networks. The key of Neyman-Pearson hypothesis testing in our proposed scheme is to derive a closed form expression for the decision threshold, which is a function of costs of choosing the incorrect hypothesis. We formulate these costs as sums of time durations for content placement and content delivery phases. We derive closed form expressions for these two phases respectively and obtain a closed form of an optimal decision rule, which maximizes the cache hitting probability and upper-bounds the prediction error probability. Finally, we evaluate and validate our proposed Neyman-Pearson hypothesis testing based hierarchical caching schemes through numerical analyses.

关键词： Testing Ad hoc networks Mobile handsets Device-to-device communication Wireless communication Delays Error probability

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NOMA-Based Statistical QoS Provisioning for Wireless Ad-Hoc Networks With Finite Blocklength

NOMA-Based Statistical QoS Provisioning for Wireless Ad-Hoc ...

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IEEE Global Communications Conference

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

Non-orthogonal multiple access (NOMA) has been designed to significantly enhance spectral efficiency for massive connections of mobile devices. Moreover, to guarantee the short latency requirements for 5G multimedia wireless services, researchers have designed statistical delay-bounded quality-of-service (QoS) provisioning for supporting video transmissions over statistically varying wireless channels. Accordingly, researchers have proposed finite blocklength coding (FBC) techniques to model the relationship between data transmission rate and channel capacity in the non-asymptotic regime while supporting short-packet communications under QoS constraints. Due to its potential to significantly improve spectral efficiency and reduce the transmission latency, a NOMA system can be exploited while being integrated with FBC to guarantee the QoS requirements for both latency and reliability over mobile wireless ad-hoc networks. However, because of the complexity of the effective-capacity maximization problem in the non-asymptotic regime, the FBC based NOMA scheme imposes new challenges for determining the convexity of the optimization problem and deriving optimal resource allocation policies for NOMA subject to statistical delay-bounded and error-rate bounded QoS constraints. In order to solve the above-mentioned problems, we define a new concept of ε-effective capacity and propose a corresponding system architecture model for NOMA systems under FBC. In particular, we characterize the FBC based NOMA system models in wireless ad hoc networks. Considering the statistical delay-bounded and error-rate bounded QoS constraints, we formulate and solve the max-min fairness problem under FBC. Simulation results are included, which evaluate and validate our proposed FBC based NOMA scheme subject to statistical delay-bounded and error-rate bounded QoS constraints.

关键词： NOMA Quality of service Ad hoc networks Error probability Wireless communication Delays Interference

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Finite Blocklength Performance of Relay Networks Over Nakagami-m Channels

Finite Blocklength Performance of Relay Networks Over Nakaga...

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IEEE Global Communications Conference

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

Wireless cooperative communications and relay networks can significantly improve the performance of fifth generation (5G) wireless networks, which aim at providing a wide range of time-sensitive multimedia services and applications by satisfying users' stringent requirements on the delay-bounded quality of service (QoS). Finite blocklength coding (FBC) is a promising candidate technique to support time-sensitive services in 5G wireless networks, where mobile users transmit short packets to upper-bound the transmission delay of multimedia traffic. In this paper, we derive closed-form expressions for the coding rates of direct and relay transmissions, respectively, under the Nakagami-m fading channel in the finite blocklength regime. We compare decoding error probabilities, coding rates, and outage probabilities between direct and relay transmissions. Our comparison results show that while relay transmission yields a larger coding rate than that of direct transmissions under the Nakagami-m fading channel, the outage probability and error rate of relay transmissions are higher than those of direct transmissions. We also derive a closed-form expression for the outage probability for relay transmissions with multiple parallel relays. Finally, we evaluate and validate our derived coding rates and outage probabilities for both direct and relay transmissions in the finite blocklength regime through numerical analyses.

关键词： Encoding Fading channels Power system reliability Probability Relay networks (telecommunications) Wireless communication

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mmWave-MIMO Based 5G Wireless Ad-Hoc Networks in the Finite Blocklength Regime

mmWave-MIMO Based 5G Wireless Ad-Hoc Networks in the Finite ...

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2019 IEEE Global Communications Conference (GLOBECOM)

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

The integration of millimeter wave (mmWave) and multiple-input and multiple-output (MIMO) techniques has been designed to provide reliable communications with large degrees of freedom while supporting the explosively growing number of mobile users. Under stringent requirements in terms of latency and reliability, due to the infinite blocklength assumption of the Shannon's capacity result, researchers have investigated new methods to characterize wireless data transmissions considering the block error probability. The finite blocklength coding (FBC) technique has been developed to model the finite blocklength coding rate in the non-asymptotic regime while supporting short-packet communications over 5G wireless ad-hoc networks. However, because of the design complexity when characterizing the second-order coding rate over mmWave MIMO based wireless channels while being integrated with FBC, how to accurately derive the finite blocklength coding rate over mmWave MIMO wireless fading channels is still an open problem over 5G wireless ad-hoc networks. To tackle the above-mentioned challenges, we propose and develop a system model that can efficiently integrate mmWave-MIMO techniques with finite blocklength coding over 5G wireless ad-hoc networks. In particular, we derive system equations that characterize the foundational informationtheoretic relationship between the finite blocklength channel capacity and the coding rate over our proposed mmWave MIMO based 5G wireless ad-hoc networks in the finite blocklength regime. Also conducted is a MATLAB-based performance evaluation, which validates and analyzes our proposed schemes over mmWave MIMO based 5G wireless ad-hoc networks in the finite blocklength regime.

关键词： Ad hoc networks Wireless communication MIMO communication 5G mobile communication Channel coding Mathematical model

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Reinforcement Learning Based QoS-Provisioning Over Energy-Harvesting 5G Wireless Ad-Hoc Networks

Reinforcement Learning Based QoS-Provisioning Over Energy-Ha...

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IEEE Global Communications Conference

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

To relieve the energy scarcity problem introduced by the explosively growing number of wireless multimedia services, researchers have proposed and developed the energy harvesting (EH) technique over 5G wireless ad-hoc networks where the mobile devices can harvest energy from various external sources. Moreover, statistical delay-bounded quality-of-service (QoS) provisioning has been developed and extensively studied for guaranteeing wireless multimedia data transmissions over 5G ad-hoc networks. However, because of the stochastic nature of EH and data arrival processes, it is challenging to design an optimal EH policy as well as resource allocation policies to guarantee statistical delay-bounded QoS requirements. Along this direction, the reinforcement learning algorithms have been designed to select optimal EH and resource allocation policies by allowing the mobile users to learn from the different network states and historical behavior until an optimal response set is reached. By leveraging the benefits of reinforcement learning, in this paper we propose a reinforcement learning based algorithm for designing optimal EH and resource allocation policies while satisfying heterogeneous statistical delay-bounded QoS constraints over 5G wireless ad-hoc networks. In particular, we first establish system models for EH and wireless data transmissions. Then, we formulate the effective-capacity maximization problem to find optimal power-subchannel allocation policies over EH based 5G wireless ad-hoc networks. To solve such a maximization problem, we apply a reinforcement learning based EH algorithm for deriving an optimal EH policy and a corresponding optimal resource allocation policies. We also conduct a set of performance evaluations to show that our proposed reinforcement learning based EH scheme outperforms existing schemes subject to the heterogeneous statistical delay-bounded QoS constraints over 5G wireless ad-hoc networks.

关键词： Ad hoc networks Wireless communication Quality of service 5G mobile communication Resource management Wireless fidelity Learning (artificial intelligence)

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Uncertain Location Transmitter and UAV-Aided Warden Based LEO Satellite Covert Communication Systems

arXiv

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arXiv 2025年

作者： Peng, Pei Chen, Xianfu Xu, Tianheng Wu, Celimuge Zou, Yulong Ni, Qiang Soljanin, Emina School of Telecommunication and Information Engineering Nanjing University of Posts and Telecommunications Jiangsu Nanjing210003 China Shenzhen CyberAray Network Technology Company Ltd. Guangdong Shenzhen518042 China Shanghai Advanced Research Institute Chinese Academy of Sciences Shanghai201210 China Meta-Networking Research Center The University of Electro-Communications Tokyo182-8585 Japan School of Computing and Communications Lancaster University LancasterLA1 4WA United Kingdom Department of Electrical and Computer Engineering Rutgers The State University of New Jersey PiscatawayNJ08854 United States

We propose a novel covert communication system in which a ground user, Alice, transmits unauthorized message fragments to Bob, a low-Earth orbit satellite (LEO), and an unmanned aerial vehicle (UAV) warden (Willie) attempts to detect these transmissions. The key contribution is modeling a scenario where Alice and Willie are unaware of each other’s exact locations and move randomly within a specific area. Alice utilizes environmental obstructions to avoid detection and only transmits when the satellite is directly overhead. LEO satellite technology allows users to avoid transmitting messages near a base station. We introduce two key performance metrics: catch probability (Willie detects and locates Alice during a message chunk transmission) and overall catch probability over multiple message chunks. We analyze how two parameters impact these metrics: 1) the size of the detection window and 2) the number of message chunks. The paper proposes two algorithms to optimize these parameters. The simulation results show that the algorithms effectively reduce the detection risks. This work advances the understanding of covert communication under mobility and uncertainty in satellite-aided systems. Copyright © 2025, The Authors. All rights reserved.

关键词： Drones

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Multipoint Channel Charting for Wireless Networks 52

Multipoint Channel Charting for Wireless Networks

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52nd Asilomar Conference on Signals, Systems and computers, ACSSC 2018

作者： Deng, Junquan Medjkouh, Said Malm, Nicolas Tirkkonen, Olav Studer, Christoph Department of Communications and Networking Aalto University Finland School of Electrical and Computer Engineering Cornell University IthacaNY United States

ISBN: (纸本)9781538692189

Multipoint channel charting is a machine learning framework in which multiple massive MIMO (mMIMO) base-stations (BSs) collaboratively learn a multi-cell radio map that characterizes the network environment and the users' spatial locations. The method utilizes large amounts of high-dimensional channel state information (CSI) that is passively collected from spatiotemporal samples by multiple distributed BSs. At each BS, a high-resolution multi-path channel parameter estimation algorithm extracts features hidden in the acquired CSI. Each BS then constructs a local dissimilarity matrix based on the extracted features for its collected samples and feeds it to a centralized entity which performs feature fusion and manifold learning to construct a multi-cell channel chart. The objective is to chart the radio geometry of a cellular system in such a way that the spatial distance between two users closely approximates their CSI feature distance. We demonstrate that (i) multipoint channel charting is capable of unravelling the topology of a Manhattan-grid system and (ii) the neighbor relations between CSI features from different spatial locations are captured almost perfectly. © 2018 IEEE.

关键词： Channel state information

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