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Compressive Rate Estimation with Applications to Device-to-Device Communications [article]

Jan Schreck, Peter Jung, Sławomir Stańczak
2015 arXiv   pre-print
We develop a framework that we call compressive rate estimation.  ...  The random measurements are fed back to a central controller that decodes the composite channel gain matrix (or parts of it) and estimates individual user rates.  ...  The proposed protocol combines the estimation from compressed measurements with coded access to reduce the number of pilot-based measurements that need to be fed back to estimate the achievable rates and  ... 
arXiv:1504.07365v1 fatcat:lhni6voewbfrrknymows4pdffm

The World's Technological Capacity to Store, Communicate, and Compute Information

M. Hilbert, P. Lopez
2011 Science  
We estimate the world's technological capacity to store, communicate, and compute information, tracking 60 analog and digital technologies during the period from 1986 to 2007.  ...  In 2007, humankind was able to store 2.9 x 10 20 optimally compressed bytes, communicated almost 2 x 10 21 bytes, and carry out 6.4 x 10 18 instructions per second on general-purpose computers.  ...  estimations of information storage and communication to the years 1986, 1993, 2000 and 2007 (see Supporting Online Material, 16, B Compression).  ... 
doi:10.1126/science.1200970 pmid:21310967 fatcat:62h2rfy4abdidg5zurhbth72zu

Framework for Energy-Aware Lossless Compression in Mobile Services: The Case of E-Mail

Y. Xiao, M. Siekkinen, A. Yla-Jaaski
2010 2010 IEEE International Conference on Communications  
estimating the computational cost.  Taking network conditions in terms of network throughput and network signal-to-noise-ratio (SNR) into account when estimating the communication cost.  ...  Energy consumption caused by wireless transmission poses a big challenge to the battery lifetime of mobile devices.  ...  We also extend our thanks to Petri Savolainen for his valuable comments.  ... 
doi:10.1109/icc.2010.5502590 dblp:conf/icc/XiaoSY10 fatcat:jn6xn5moc5gatjacwsogtjoohq

How much of the global information and communication explosion is driven by more, and how much by better technology?

Martin Hilbert
2014 Journal of the Association for Information Science and Technology  
Besides progress in better hardware, software for information compression turns out to be an important and often neglected driver of the global growth of technologically mediated information and communication  ...  While infrastructure seems to reach a certain level of saturation at roughly 20 storage devices per capita and 2-3 telecommunication subscriptions per capita, informational capacities are still exploding  ...  We have decided to normalize our estimates on the highest conceivable compression rate achievable in 2007, which we call the optimal compression rate (or 2007-entropic compression, since optimal compression  ... 
doi:10.1002/asi.23031 fatcat:q5nwlkdlb5fq5dgbcld6xhkg2q

Bandwidth Enhancement between Graphics Processing Units on the Peripheral Component Interconnect Bus

2015 Journal of Electrical and Electronics Engineering  
Present day applications require office and personal supercomputers which are mostly based on many core hardware accelerators communicating with the host system through the Peripheral Component Interconnect  ...  Parallel data compression is a difficult topic but compression has been used successfully to improve the communication between parallel message passing interface (MPI) processes on high performance computing  ...  Special-purpose accelerator compilers and libraries should be used to automate the process of integrating scientific floating point and integer compression with device to host and device to device communication  ... 
doaj:9e77d75401c44ad4a27208e731316bf3 fatcat:pthnt7kbsvc77gzwkdnqe7zwpe

An Analysis of Energy Efficient Data Transfer between Mobile Device and Dedicated Server

2019 Tehnički Vjesnik  
This paper discusses research results with regard to energy-efficient transmission of serialised data between servers and mobile devices.  ...  A test environment was created in which the research authors primarily measured electricity consumption during communication between a mobile device and server.  ...  Acknowledgment We would like to express our gratitude to Professor Miroslav L. Dukić for the valuable comments and suggestions that added to the quality and comprehensiveness of this article.  ... 
doi:10.17559/tv-20180212150241 fatcat:ty6jopstxjdljjmxp4gzfjzj4m

Communication-oriented Model Fine-tuning for Packet-loss Resilient Distributed Inference under Highly Lossy IoT Networks

Sohei Itahara, Takayuki Nishio, Yusuke Koda, Koji Yamamoto.
2022 IEEE Access  
Specifically, we have proposed a communication-oriented model tuning (COMtune), which aims to achieve highly accurate DI with low-latency but unreliable communication links.  ...  ) devices.  ...  INTRODUCTION T HE Internet of things (IoT) is employed to enable multiple novel applications by combining the physical sensing of IoT devices with deep learning-based data analysis.  ... 
doi:10.1109/access.2022.3149336 fatcat:r6nz7naspbhjtogmu7xfhjbt3q

A Novel Approach to Support Quality of Experience in Remote Visualization on Mobile Devices [article]

Gianluca Paravati, Andrea Sanna, Fabrizio Lamberti, Luigi Ciminiera
2008 Eurographics State of the Art Reports  
Image resolution, frame rate, compression ratio, color depth, and device throughput are simultaneously considered in order to provide users valuable visualization experiences.  ...  User requirements are used by a QoE manager to estimate values for the above parameters, thus providing an optimal usage of the network bandwidth.  ...  Changing JPEG quality to 70, the estimated compression ratio computed to fill Table 1 with the proposed method is Cr est. = 48.32 and the estimated frame rate computed applying eq. 1 is equal to f =  ... 
doi:10.2312/egs.20081016 fatcat:qxmgs4owgzezna5aa5j5sbdr7q

Edge Learning with Timeliness Constraints: Challenges and Solutions [article]

Yuxuan Sun, Wenqi Shi, Xiufeng Huang, Sheng Zhou, Zhisheng Niu
2020 arXiv   pre-print
Future machine learning (ML) powered applications, such as autonomous driving and augmented reality, involve training and inference tasks with timeliness requirements and are communication and computation  ...  Particularly, for edge training, we argue that the total training delay rather than rounds should be considered, and propose data or model compression, and joint device scheduling and resource management  ...  For the unscheduled devices, ML-based estimation techniques can be further leveraged to predict their local model updates at the edge server, in order to improve the convergence rate [7] .  ... 
arXiv:2009.11065v1 fatcat:mumbujhfmje2nkcyhuambxzwme

Practical real-time video codec for mobile devices

K. Yu, Jiangbo Lv, Jiang Li, Shipeng Li
2003 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)  
A real-time video communication implementation of the proposed codec is also introduced.  ...  Real-time software-based video codec has been widely used on PCs with relatively strong computing capability.  ...  The structure is similar to that of the H.263 encoder and is compatible with the H.263 bitstream syntax. The Rate Control component enables the output bit rates to be adaptive to the target.  ... 
doi:10.1109/icme.2003.1221360 dblp:conf/icmcs/YuLLL03 fatcat:aozzwssyafgcngl6pqmm4c4iny

Configurable and Adaptive Middleware for Energy-Efficient Distributed Mobile Computing

Young-Woo Kwon, Eli Tilevich
2014 Proceedings of the 6th International Conference on Mobile Computing, Applications and Services  
According to a recent study, network communication consumes between 10% and 50% of the total energy budget of a typical mobile application [3] .  ...  Many mobile applications are designed with the assumption that they will be operated over some mobile networks with a certain fixed bandwidth/latency  ...  These device-and executionspecific values are cached to estimate the amount of energy to be consumed during future remote communications. 2) Training-Based Energy Consumption Prediction: To predict the  ... 
doi:10.4108/icst.mobicase.2014.257807 dblp:conf/mobicase/KwonT14 fatcat:dzbsbmbtpndz7dpuuig3ej225m

Congestion Control Mechanisms for 4G Random Access Channel (RACH): A Survey

Magbo P.C., Chukwudi P.C., Abubakar A.
2019 International Journal of Engineering and Applied Sciences (IJEAS)  
Machine to Machine communications explores the LTE-Advanced technology to supports the massive connection of devices with little or no human interaction.  ...  Telecommunication systems have evolved from various generations; this evolution aimed at improving the rate of information transfer and communication from one place to another.  ...  In this system, an estimate of the current number of Machine-to-Machine devices in the backoff state is used to adjust in real-time the barring rate parameters.  ... 
doi:10.31873/ijeas.6.12.02 fatcat:uejjqynf6jbebjboi4pvsuojli

Breaking Barriers in Emerging Biomedical Applications

Konstantinos Katzis, Lazar Berbakov, Gordana Gardašević, Olivera Šveljo
2022 Entropy  
With this motivation, the paper indicates how data compression and entropy used in security algorithms may pave the way towards mass deployment of such IoT healthcare devices.  ...  Technological advances in communications and sensing devices have enabled the development of new, portable, and more power-efficient biomedical sensors, as well as innovative healthcare applications.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/e24020226 pmid:35205520 pmcid:PMC8871046 fatcat:w45mc7ttkncrzggyxno777pvzm

Impact of Compression and Small Cell Deployment on NB-IoT Devices Coverage and Energy Consumption with a Realistic Simulation Model

Mehdi Zeinali, John S. Thompson
2021 Sensors  
Our analysis shows significant reductions in the number of MTC devices in outage by deploying either small cells or Device-to-Device (D2D) communications.  ...  Finally, we study how compression techniques can extend the battery lifetime of MTC devices.  ...  Institutional Review Board Statement: Not Applicable. Informed Consent Statement: Not Applicable.  ... 
doi:10.3390/s21196534 pmid:34640855 fatcat:thihcr5irzfhrltwqriyqwx6w4

Distributed Coding/Decoding Complexity in Video Sensor Networks

Paulo J. Cordeiro, Pedro Assunção
2012 Sensors  
Video Sensor Networks (VSNs) are recent communication infrastructures used to capture and transmit dense visual information from an application context.  ...  In particular, the paper proposes a novel VSN architecture where large sets of visual sensors with embedded processors are used for compression and transmission of coded streams to gateways, which in turn  ...  Furthermore it is worthwhile to note that the energy cost increases for higher communication rates.  ... 
doi:10.3390/s120302693 pmid:22736972 pmcid:PMC3376628 fatcat:ylknab3qv5bxhfscedifc6gvpm
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