Trust Degree-Based Cooperative Transmission for Communication Secrecy

2015 ◽  
Author(s):  
Jong Yeol Ryu ◽  
Jemin Lee ◽  
Tony Q. S. Quek
Keyword(s):  
Cooperative Transmission ◽  
Trust Degree

A Per-User QoS Enhancement Strategy via Downlink Cooperative Transmission Using Distributed Antennas

2010 ◽  
Vol E93-B (12) ◽  
pp. 3538-3541
Author(s):  
Byungseok LEE ◽  
Ju Wook JANG ◽  
Sang-Gyu PARK ◽  
Wonjin SUNG
Keyword(s):  
Cooperative Transmission ◽  
Distributed Antennas

AoI-Aware Co-design of Cooperative Transmission and State Estimation for Marine IoT Systems

2020 ◽  
pp. 1-1
Author(s):  
Ling Lyu ◽  
Yanpeng Dai ◽  
Nan Cheng ◽  
Shanying Zhu ◽  
Xinping Guan ◽  
...  
Keyword(s):  
State Estimation ◽  
Cooperative Transmission

scholarly journals Opportunistic Large Array Propagation Models: A Comprehensive Survey

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4206
Author(s):  
Farhan Nawaz ◽  
Hemant Kumar ◽  
Syed Ali Hassan ◽  
Haejoon Jung
Keyword(s):  
Energy Efficient ◽  
Large Scale ◽  
Performance Metrics ◽  
Experimental Studies ◽  
Cooperative Transmission ◽  
Analytical Models ◽  
Future Research ◽  
Large Array ◽  
Propagation Models ◽  
Comprehensive Survey

Enabled by the fifth-generation (5G) and beyond 5G communications, large-scale deployments of Internet-of-Things (IoT) networks are expected in various application fields to handle massive machine-type communication (mMTC) services. Device-to-device (D2D) communications can be an effective solution in massive IoT networks to overcome the inherent hardware limitations of small devices. In such D2D scenarios, given that a receiver can benefit from the signal-to-noise-ratio (SNR) advantage through diversity and array gains, cooperative transmission (CT) can be employed, so that multiple IoT nodes can create a virtual antenna array. In particular, Opportunistic Large Array (OLA), which is one type of CT technique, is known to provide fast, energy-efficient, and reliable broadcasting and unicasting without prior coordination, which can be exploited in future mMTC applications. However, OLA-based protocol design and operation are subject to network models to characterize the propagation behavior and evaluate the performance. Further, it has been shown through some experimental studies that the most widely-used model in prior studies on OLA is not accurate for networks with networks with low node density. Therefore, stochastic models using quasi-stationary Markov chain are introduced, which are more complex but more exact to estimate the key performance metrics of the OLA transmissions in practice. Considering the fact that such propagation models should be selected carefully depending on system parameters such as network topology and channel environments, we provide a comprehensive survey on the analytical models and framework of the OLA propagation in the literature, which is not available in the existing survey papers on OLA protocols. In addition, we introduce energy-efficient OLA techniques, which are of paramount importance in energy-limited IoT networks. Furthermore, we discuss future research directions to combine OLA with emerging technologies.

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