scholarly journals IEEE Access Special Section Editorial: Advances in Statistical Channel Modeling for Future Wireless Communications Networks

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 160325-160328
Author(s):  
Daniel Benevides Da Costa ◽  
Jiayi Zhang ◽  
George K. Karagiannidis ◽  
Kostas P. Peppas ◽  
Michail Matthaiou ◽  
...  
Keyword(s):  
Wireless Communications ◽  
Special Section ◽  
Channel Modeling ◽  
Communications Networks ◽  
Statistical Channel Modeling

scholarly journals Advances in Statistical Channel Modeling for Wireless Communications

2015 ◽  
Vol 2015 ◽  
pp. 1-2 ◽  
Author(s):  
José F. Paris ◽  
Paschalis C. Sofotasios ◽  
Theodoros A. Tsiftsis
Keyword(s):  
Wireless Communications ◽  
Channel Modeling ◽  
Statistical Channel Modeling

scholarly journals IEEE TCCN Special Section Editorial: Intelligent Surfaces for Smart Wireless Communications

2021 ◽  
Vol 7 (2) ◽  
pp. 336-339
Author(s):  
Chau Yuen ◽  
George C. Alexandropoulos ◽  
Xiaojun Yuan ◽  
Marco Di Renzo ◽  
Merouane Debbah
Keyword(s):  
Wireless Communications ◽  
Special Section

A 2-V, 1-10 GHz BiCMOS transceiver chip for multimode wireless communications networks

1997 ◽  
Vol 32 (4) ◽  
pp. 521-525 ◽  
Author(s):  
M. Madihian ◽  
E. Bak ◽  
H. Yoshida ◽  
H. Hirabayashi ◽  
K. Imai ◽  
...  
Keyword(s):  
Wireless Communications ◽  
Communications Networks

A Framework for Statistical Channel Modeling in 5G Wireless Communication Systems

2020 ◽  
pp. 31-54
Author(s):  
Caslav Stefanovic ◽  
Danijel Djosic ◽  
Stefan Panic ◽  
Dejan Milic ◽  
Mihajlo Stefanovic
Keyword(s):  
Wireless Communication ◽  
Communication Systems ◽  
Channel Modeling ◽  
Wireless Communication Systems ◽  
Statistical Channel Modeling

mMarketing Opportunities for User Collaborative Environments in Smart Cities

2017 ◽  
pp. 1213-1241
Author(s):  
Artemis D. Avgerou ◽  
Despina A. Karayanni ◽  
Yannis C. Stamatiou
Keyword(s):  
Wireless Communications ◽  
Mobile Devices ◽  
Large Scale ◽  
Collective Intelligence ◽  
Personal Information ◽  
Smart Cities ◽  
Mobility Patterns ◽  
Communications Networks ◽  
Pollution Levels ◽  
Commercial Activities

Smart City infrastructures connect people with their devices through wireless communications networks while they offer sensor-based information about the city's status and needs. Connecting people carrying mobile devices equipped with sensors through such an infrastructure leads to the “collective intelligence” or “crowdsourcing” paradigm. This paradigm has been deployed in numerous contexts such as performing large-scale experiments (e.g., monitoring the pollution levels or analyzing mobility patterns of people to derive useful information about rush hours in cities) or gathering and sharing user collected experiences in efforts to increase privacy awareness and personal information protection levels. In this chapter, we will focus on employing this paradigm in the mMarketing/mCommerce domain and discuss how crowdsourcing can create new opportunities for commercial activities as well as expansion of existing ones.

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