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Article

A Symbolic Encapsulation Point as Tool for 5G Wideband Channel Cross-Layer Modeling

1
Faculty of Technical Sciences Cacak, University of Kragujevac, 34000 Kragujevac, Serbia
2
Electronic Systems Department, Military Technical Institute, 11000 Belgrade, Serbia
3
Fundamental of Physics for Engineers Department, Politehnica University Timisoara, 300223 Timisoara, Romania
4
School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China
*
Author to whom correspondence should be addressed.
Entropy 2020, 22(10), 1151; https://doi.org/10.3390/e22101151
Received: 11 August 2020 / Revised: 8 September 2020 / Accepted: 10 September 2020 / Published: 14 October 2020
(This article belongs to the Special Issue Information theory and Symbolic Analysis: Theory and Applications)
Considering that networks based on New Radio (NR) technology are oriented to provide services of desired quality (QoS), it becomes questionable how to model and predict targeted QoS values, especially if the physical channel is dynamically changing. In order to overcome mobility issues, we aim to support the evaluation of second-order statistics of signal, namely level-crossing rate (LCR) and average fade duration (AFD) that is missing in general channel 5G models. Presenting results from our symbolic encapsulation point 5G (SEP5G) additional tool, we fill this gap and motivate further extensions on current general channel 5G. As a matter of contribution, we clearly propose: (i) anadditional tool for encapsulating different mobile 5G modeling approaches; (ii) extended, wideband, LCR, and AFD evaluation for optimal radio resource allocation modeling; and (iii) lower computational complexity and simulation time regarding analytical expression simulations in related scenario-specific 5G channel models. Using our deterministic channel model for selected scenarios and comparing it with stochastic models, we show steps towards higherlevel finite state Markov chain (FSMC) modeling, where mentioned QoS parameters become more feasible, placing symbolic encapsulation at the center of cross-layer design. Furthermore, we generate values within a specified 5G passband, indicating how it can be used for provisioningoptimal radio resource allocation. View Full-Text
Keywords: LCR; AFD; 5G channel model; FSMC; symbolic encapsulation point; cross-layer LCR; AFD; 5G channel model; FSMC; symbolic encapsulation point; cross-layer
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MDPI and ACS Style

Stefanovic, N.; Blagojevic, M.; Pokrajac, I.; Greconici, M.; Cen, Y.; Mladenovic, V. A Symbolic Encapsulation Point as Tool for 5G Wideband Channel Cross-Layer Modeling. Entropy 2020, 22, 1151. https://doi.org/10.3390/e22101151

AMA Style

Stefanovic N, Blagojevic M, Pokrajac I, Greconici M, Cen Y, Mladenovic V. A Symbolic Encapsulation Point as Tool for 5G Wideband Channel Cross-Layer Modeling. Entropy. 2020; 22(10):1151. https://doi.org/10.3390/e22101151

Chicago/Turabian Style

Stefanovic, Nenad, Marija Blagojevic, Ivan Pokrajac, Marian Greconici, Yigang Cen, and Vladimir Mladenovic. 2020. "A Symbolic Encapsulation Point as Tool for 5G Wideband Channel Cross-Layer Modeling" Entropy 22, no. 10: 1151. https://doi.org/10.3390/e22101151

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