-------- Weitergeleitete Nachricht -------- Betreff: [TCCC-ANNOUNCE] International IEEE Conference WinCom (​ Istanbul, Turkey) (Hybrid mode: Physical and virtual) Datum: Sun, 25 Jun 2023 10:09:33 -0500 Von: Afaf Bouhoute afaf.bouhoute@USMBA.AC.MA Antwort an: afaf.bouhoute@USMBA.AC.MA An: tccc-announce@COMSOC.ORG

Dear Profs and Colleagues

It is our pleasure to invite you to submit your recent work at the *IEEE WinCom2023, the 10th International Conference on Wireless Networks and Mobile Communications (WINCOM 2023)*, which will be held in *Istanbul*, *Turkey*, from *26th to 28th October 2023 *(Hybrid mode: Physical and virtual).

https://www.wincom-conf.org/WINCOM_2023/?page=home

The submission deadline is rapidly approaching.

Submission:

https://www.wincom-conf.org/WINCOM_2023/?page=submission

Submit your paper through Edas link:

https://edas.info/newPaper.php?c=30874&track=117797

All registrations & payment MUST be DONE through the wire Transfer.

At least one of the authors listed in the paper must register for WINCOM23. One registration may cover up to two (2) papers of which the registrant is co-author.

Registration Rates Category Before Registration deadline After Registration deadline Author (IEEE Member) 300 € 400 € Author (Non-Member) 400 € 500 € *Author (Low and middle income countries) 200 € 300 € From Extra paper accepted 100 € 150 € Non-Author (Attending only) 120 € 120 € https://www.wincom-conf.org/WINCOM_2023/assets/CFP-ISIoT1.pdf Call for papersDownload CFP http://wincom-conf.org/WINCOM_2023/CFP-WINCOM23.pdf

WINCOM 2023 solicits high-quality and original contributions in ubiquitous networking, but not limited to, the following directions

- Wireless Mobile Networks - Next-Generation Networks: 5G and 6G - AI, Machine learning in Network applications - AI-Enabled Networks - Game theory applied to networking problems - Learning theory to solve networking problems - Big Data for wireless networks - Federated learning applied to networking - Intelligent vehicle technologies and vehicular networks - Internet of thing and applications - Internet of Thing use cases and their applications - Artificial intelligence and machine learning for wireless communication systems - Smart global connectivity - Challenges and issues in designing AI-enabled wireless networks - Deep learning techniques for wireless networks - Cloud Computing, Networking and Storage - Mobile slicing and Multi-homing - Cooperative/non-cooperative communications - Self-adaptation on the service layer - Service discovery and portability - Future Internet and Next-Generation Networking - Green Communication Systems and Networks - Modeling and performance evaluation - Security and Cybersecurity - Trust, Privacy & Blockchain Platforms - Signal processing for Wireless communication - Physical layer design - Modulation, coding, and diversity techniques - Channel capacity estimation, modeling and equalization - Radio resource management, allocation and scheduling - Congestion, load and admission control - Smart antennas: MIMO, Massive MIMO and beamforming - Reconfigurability, adaptivity in MAC and PHY layers - Adaptive and cognitive MAC - Cognitive radio networks, SDN and NFV - Cross-layer design involving MAC layer - Routing and QoS provisioning - Multihop communications: Ad hoc, WSN, DTN, VANET - M2M and MTC communications - Mobility Issues and continuity of services - Emerging Internet applications - Context and location-awareness in pervasive systems - Emerging wireless and mobile applications - User interfaces, user-machine interactions - P2P services for multimedia - Service oriented architectures - e-Healt, Body area networks - Mobile health care and medical applications - Implementation, testbeds and prototypes - Satellite Communications and Networking