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Cognitive Radio-Oriented Wi...

Cognitive Radio-Oriented Wireless Networks [14th EAI International Conference, CrownCom 2019, Poznan, Poland, June 11-12, 2019, Proceedings

Kliks, Adrian,

Kryszkiewicz, Pawe,

Bader, Faouzi,

Triantafyllopoulou, Dionysia,

Caicedo, Carlos E,

Sezgin, Aydin,

Dimitriou, Nikos,

Sybis, Micha,

Springer International Publishing 2019

This book constitutes the refereed proceedings of the 14th International Conference on Cognitive Radio-Oriented Wireless Networks, CROWNCOM 2019, held in Poznan, Poland, in June 2019. The 30 revised full papers were selected from 48 submissions and present a large scope of research topic also covering IoT in 5G and how cognitive mechanisms shall help leveraging access for numerous devices; mmWave and how specific propagation and operation in these bands bring new sharing mechanisms ; how resource allocation amongst bands (including offload mechanisms) shall be solved. The key focus will be on how rich data analysis can improve the delivery of above defined services

Ver

Computer Communication Networks Data structures (Computer scienc Machine learning Data Structures and Information Theory Machine Learning

Monografía

monografia Rebiun23648462 https://catalogo.rebiun.org/rebiun/record/Rebiun23648462 190810s2019 gw s 00 0 eng d 9783030257484 9783030257477 9783030257491 UMA.RE Cognitive Radio-Oriented Wireless Networks Recurso electrónico] :] 14th EAI International Conference, CrownCom 2019, Poznan, Poland, June 11-12, 2019, Proceedings edited by Adrian Kliks, Pawe Kryszkiewicz, Faouzi Bader, Dionysia Triantafyllopoulou, Carlos E. Caicedo, Aydin Sezgin, Nikos Dimitriou, Micha Sybis 1st ed. 2019 Cham Springer International Publishing 2019 Cham Cham Springer International Publishing XI, 410 p. 243 il., 166 il. col XI, 410 p. 243 il., 166 il. col Text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 291 This book constitutes the refereed proceedings of the 14th International Conference on Cognitive Radio-Oriented Wireless Networks, CROWNCOM 2019, held in Poznan, Poland, in June 2019. The 30 revised full papers were selected from 48 submissions and present a large scope of research topic also covering IoT in 5G and how cognitive mechanisms shall help leveraging access for numerous devices; mmWave and how specific propagation and operation in these bands bring new sharing mechanisms ; how resource allocation amongst bands (including offload mechanisms) shall be solved. The key focus will be on how rich data analysis can improve the delivery of above defined services Computer Communication Networks Data structures (Computer scienc Machine learning Data Structures and Information Theory Machine Learning Kliks, Adrian ed. lit Kryszkiewicz, Pawe ed. lit Bader, Faouzi ed. lit Triantafyllopoulou, Dionysia ed. lit Caicedo, Carlos E ed. lit Sezgin, Aydin ed. lit Dimitriou, Nikos ed. lit Sybis, Micha ed. lit

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monografia Rebiun23648462 https://catalogo.rebiun.org/rebiun/record/Rebiun23648462 190810s2019 gw s 00 0 eng d 9783030257484 9783030257477 9783030257491 UMA.RE Cognitive Radio-Oriented Wireless Networks Recurso electrónico] :] 14th EAI International Conference, CrownCom 2019, Poznan, Poland, June 11-12, 2019, Proceedings edited by Adrian Kliks, Pawe Kryszkiewicz, Faouzi Bader, Dionysia Triantafyllopoulou, Carlos E. Caicedo, Aydin Sezgin, Nikos Dimitriou, Micha Sybis 1st ed. 2019 Cham Springer International Publishing 2019 Cham Cham Springer International Publishing XI, 410 p. 243 il., 166 il. col XI, 410 p. 243 il., 166 il. col Text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 291 This book constitutes the refereed proceedings of the 14th International Conference on Cognitive Radio-Oriented Wireless Networks, CROWNCOM 2019, held in Poznan, Poland, in June 2019. The 30 revised full papers were selected from 48 submissions and present a large scope of research topic also covering IoT in 5G and how cognitive mechanisms shall help leveraging access for numerous devices; mmWave and how specific propagation and operation in these bands bring new sharing mechanisms ; how resource allocation amongst bands (including offload mechanisms) shall be solved. The key focus will be on how rich data analysis can improve the delivery of above defined services Computer Communication Networks Data structures (Computer scienc Machine learning Data Structures and Information Theory Machine Learning Kliks, Adrian ed. lit Kryszkiewicz, Pawe ed. lit Bader, Faouzi ed. lit Triantafyllopoulou, Dionysia ed. lit Caicedo, Carlos E ed. lit Sezgin, Aydin ed. lit Dimitriou, Nikos ed. lit Sybis, Micha ed. lit