A Symbolic Encapsulation Point as Tool for 5G Wideband Channel Cross-Layer Modeling
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 su...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-10-01
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| Series: | Entropy |
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| Online Access: | https://www.mdpi.com/1099-4300/22/10/1151 |
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| author | Nenad Stefanovic Marija Blagojevic Ivan Pokrajac Marian Greconici Yigang Cen Vladimir Mladenovic |
| author_facet | Nenad Stefanovic Marija Blagojevic Ivan Pokrajac Marian Greconici Yigang Cen Vladimir Mladenovic |
| author_sort | Nenad Stefanovic |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T15:39:57Z |
| format | Article |
| id | doaj.art-eba39292fc2742ca8ec5c10803bcebc7 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-03-10T15:39:57Z |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-eba39292fc2742ca8ec5c10803bcebc72023-11-20T16:58:27ZengMDPI AGEntropy1099-43002020-10-012210115110.3390/e22101151A Symbolic Encapsulation Point as Tool for 5G Wideband Channel Cross-Layer ModelingNenad Stefanovic0Marija Blagojevic1Ivan Pokrajac2Marian Greconici3Yigang Cen4Vladimir Mladenovic5Faculty of Technical Sciences Cacak, University of Kragujevac, 34000 Kragujevac, SerbiaFaculty of Technical Sciences Cacak, University of Kragujevac, 34000 Kragujevac, SerbiaElectronic Systems Department, Military Technical Institute, 11000 Belgrade, SerbiaFundamental of Physics for Engineers Department, Politehnica University Timisoara, 300223 Timisoara, RomaniaSchool of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, ChinaFaculty of Technical Sciences Cacak, University of Kragujevac, 34000 Kragujevac, SerbiaConsidering 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.https://www.mdpi.com/1099-4300/22/10/1151LCRAFD5G channel modelFSMCsymbolic encapsulation pointcross-layer |
| spellingShingle | Nenad Stefanovic Marija Blagojevic Ivan Pokrajac Marian Greconici Yigang Cen Vladimir Mladenovic A Symbolic Encapsulation Point as Tool for 5G Wideband Channel Cross-Layer Modeling Entropy LCR AFD 5G channel model FSMC symbolic encapsulation point cross-layer |
| title | A Symbolic Encapsulation Point as Tool for 5G Wideband Channel Cross-Layer Modeling |
| title_full | A Symbolic Encapsulation Point as Tool for 5G Wideband Channel Cross-Layer Modeling |
| title_fullStr | A Symbolic Encapsulation Point as Tool for 5G Wideband Channel Cross-Layer Modeling |
| title_full_unstemmed | A Symbolic Encapsulation Point as Tool for 5G Wideband Channel Cross-Layer Modeling |
| title_short | A Symbolic Encapsulation Point as Tool for 5G Wideband Channel Cross-Layer Modeling |
| title_sort | symbolic encapsulation point as tool for 5g wideband channel cross layer modeling |
| topic | LCR AFD 5G channel model FSMC symbolic encapsulation point cross-layer |
| url | https://www.mdpi.com/1099-4300/22/10/1151 |
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