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_a10.1007/978-3-030-67720-6 _2doi |
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_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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_aTK5105.5 _b2021 EB |
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_aCommunications and Networking : _b15th EAI International Conference, ChinaCom 2020, Shanghai, China, November 20-21, 2020, Proceedings _cedited by Honghao Gao, Pingyi Fan, Jun Wun, Xue Xiaoping, Jun Yu, Yi Wang |
| 250 | _aFirst edition 2021 | ||
| 264 | 1 |
_aCham, Switzerland _bSpringer International Publising _c2021 |
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_a1 recurso en línea (XV, 789 páginas) _b392 ilustraciones, 293 ilustraciones a color |
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_2rdacontent _aTexto _btxt |
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_2rdamedia _aelectrónico _bc |
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_2rdacarrier _arecurso electrónico _bcr |
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_atext file _bPDF _2rda |
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_aLecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering _x1867-8211 _v352 |
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| 505 | 0 | _aTransmission Optimization in Edge Computing -- 1 DOA Estimation Based on Intelligent FMCW Radar With Triangle Array Antenna -- Multi-Modulation Scheme for RFID-based Sensor Networks -- Beam-based Secure Physical Layer Key Generation for mmWave Massive MIMO System -- Weighted Sum Rate Maximization for NOMA-based UAV Networks -- Placement optimization for UAV-Enabled Wireless Power Transfer System -- Activate Cost-effective Mobile Crowd Sensing with Multi-Access Edge Computing -- Performance and Scheduling Optimization in Edge Computing -- A Survey on Security and Performance Optimization of Blockchain -- Performance Analysis of Blockchain-Based Internet of Vehicles Under the DSRC Architecture -- Cache-Aided Multi-Message Private Information Retrieval -- Evaluation of Dynamic Scheduling for Data Collection in Medical Application using Firefly Synchronization Algorithm -- Energy Efficient Scheduling and Time-Slot Sharing for Hyper-Dense D2D Networks Using mmWave -- Adaptive Hybrid MAC Protocol with Novel MOB Backoff Scheme for Massive M2M Communications -- Transmission Optimization in Edge Computing -- Deep Learning -- Transmission and Load Balancing -- Scheduling and Security in 5G -- A MIMO Channel Measurement System Based on Delay -- Lines and Simulations Based on Graph Modling -- A DNN-based WiFi-RSSI Indoor Localization Method in IoT -- A Downlink Scheduling Algorithm Based on Network Slicing for 5G -- Software Defined Unicast/Multicast Jointed Routing for Real-time Data Distribution -- Interference Coordination Using Cell Cluster for 5G Dynamic TDD System -- CPP-Based Cooperative Defense Against DoS Attacks in Future Non-terrestrial Networks Mobile Edge Network System -- Location-based Multi-Site Coordination Beam Tracking for Vehicle mmWave Communications -- Content-Aware Proactive Caching and Energy-Efficient Design in Clustered Small Cell Networks -- Land cover classification and accuracy evaluation based on object-oriented spatial features of GF-2 -- A Signaling Monitor Scheme of RRC Protocol in 5G Road Tester -- Snoop through Traffic Counters to Detect Black Holes in Segment Routing Networks -- Network Select in 5G Heterogeneous Environment by M-F-U Hybrid Algorithm -- Communication Routing and Control -- Channel Estimation Algorithm Based on Demodulation Reference Signal in 5G -- Constrained Multipath Routing Algorithm Based On Satellite Network -- Container Performance Prediction: Challenges and Solutions -- A Random Access Control Scheme for a NOMA-Enabled LoRa Network -- Fast power spectrum estimation with sparse learning for wideband spectrum sensing -- QoS-Guaranteed A -- P Selection Algorithm in Dense IEEE 802.11 WLANs Deep Learning -- Transmission and Load Balancing. | |
| 520 | 3 | _aThis proceedings constitutes the refereed proceedings of the 15th EAI International Conference on Communications and Networking, ChinaCom 2020, held in November 2020 in Shanghai, China. Due to COVID-19 pandemic the conference was held virtually. The 54 papers presented were carefully selected from 143 submissions. The papers are organized in topical sections on Transmission Optimization in Edge Computing; Performance and Scheduling Optimization in Edge Computing; Mobile Edge Network System; Communication Routing and Control; Transmission and Load Balancing; Edge Computing and Distributed Machine Learning; Deep Learning. | |
| 988 | _aSpringer_Computer_2021 | ||
| 650 | 7 |
_2embne _aRedes informáticas _vCongresos y asambleas _9141354 |
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| 700 | 1 |
_aGao, Honghao _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aFan, Pingyi _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aWun, Jun _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aXiaoping, Xue _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aYu, Jun _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aWang, Yi _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 710 | 2 | _aSpringerLink | |
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_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-67720-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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