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HandWiki. Propagation Graph. Encyclopedia. Available online: https://encyclopedia.pub/entry/30624 (accessed on 21 October 2026).
HandWiki. Propagation Graph. Encyclopedia. Available at: https://encyclopedia.pub/entry/30624. Accessed October 21, 2026.
HandWiki. "Propagation Graph" Encyclopedia, https://encyclopedia.pub/entry/30624 (accessed October 21, 2026).
HandWiki. (2022, October 21). Propagation Graph. In Encyclopedia. https://encyclopedia.pub/entry/30624
HandWiki. "Propagation Graph." Encyclopedia. Web. 21 October, 2022.

Propagation Graph

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The content is sourced from: https://handwiki.org/wiki/Propagation_Graph

Propagation Graphs are a mathematical modelling method for radio propagation channels. A propagation graph is a signal flow graph in which vertices represent transmitters, receivers or scatterers, and edges models propagation conditions between vertices. Propagation graph models were initially developed in for multipath propagation in scenarios with multiple scattering, such as indoor radio propagation. It has later been applied in many other scenarios.

multipath propagation mathematical modelling signal flow graph

References

  1. Pedersen, Troels; Steinbock, Gerhard; Fleury, Bernard H. (2012). "Modeling of Reverberant Radio Channels Using Propagation Graphs". IEEE Transactions on Antennas and Propagation 60 (12): 5978–5988. doi:10.1109/TAP.2012.2214192. Bibcode: 2012ITAP...60.5978P.  https://dx.doi.org/10.1109%2FTAP.2012.2214192
  2. Lu, S. X. (2011). "Characterization of the random scattering induced delay power spectrum using Born series". 2011 IEEE International Symposium on Antennas and Propagation (APSURSI): 3317–3319. doi:10.1109/APS.2011.6058692. ISBN 978-1-4244-9563-4.  https://dx.doi.org/10.1109%2FAPS.2011.6058692
  3. Pedersen, Troels; Fleury, Bernard (2006). "A Realistic Radio Channel Model Based in Stochastic Propagation Graphs". Proceedings 5th MATHMOD Vienna: 324–331. https://vbn.aau.dk/ws/files/2782291/PedersenTroels148.pdf. 
  4. Pedersen, T.; Fleury, B. H. (2007). "Radio Channel Modelling Using Stochastic Propagation Graphs". 2007 IEEE International Conference on Communications: 2733–2738. doi:10.1109/ICC.2007.454. ISBN 978-1-4244-0353-0. https://vbn.aau.dk/da/publications/0a1c1b30-15aa-11dc-a5a4-000ea68e967b. 
  5. Adeogun, R.; Pedersen, T.; Gustafson, C.; Tufvesson, F. (2019). "Polarimetric Wireless Indoor Channel Modeling Based on Propagation Graph". IEEE Transactions on Antennas and Propagation 67 (10): 6585–6595. doi:10.1109/TAP.2019.2925128. Bibcode: 2019ITAP...67.6585A. https://vbn.aau.dk/ws/files/308358082/Polarimetric_Wireless_Indoor_Channel_Modelling_Based_on_Propagation_Graph.pdf. 
  6. Stern, K.; Fuglsig, A.J.; Ramsgaard-Jensen, K.; Pedersen, T. (2018). "Propagation graph modeling of time-varying radio channels". 12th European Conference on Antennas and Propagation (EuCAP 2018): 22 (5 pp.)–22 (5 pp.). doi:10.1049/cp.2018.0381. ISBN 978-1-78561-816-1. https://vbn.aau.dk/ws/files/274301167/Propagation_Graph_Modeling_of_Time_Varying_Radio_Channels.pdf. 
  7. Steinbock, Gerhard; Gan, Mingming; Meissner, Paul; Leitinger, Erik; Witrisal, Klaus; Zemen, Thomas; Pedersen, Troels (2016). "Hybrid Model for Reverberant Indoor Radio Channels Using Rays and Graphs". IEEE Transactions on Antennas and Propagation 64 (9): 4036–4048. doi:10.1109/TAP.2016.2589958. Bibcode: 2016ITAP...64.4036S.  https://dx.doi.org/10.1109%2FTAP.2016.2589958
  8. Tian, L.; Degli-Esposti, V.; Vitucci, E. M.; Yin, X. (2016). "Semi-Deterministic Radio Channel Modeling Based on Graph Theory and Ray-Tracing". IEEE Transactions on Antennas and Propagation 64 (6): 2475–2486. doi:10.1109/TAP.2016.2546950. Bibcode: 2016ITAP...64.2475T.  https://dx.doi.org/10.1109%2FTAP.2016.2546950
  9. Gan, Mingming; Steinbock, Gerhard; Xu, Zhinan; Pedersen, Troels; Zemen, Thomas (2018). "A Hybrid Ray and Graph Model for Simulating Vehicle-to-Vehicle Channels in Tunnels". IEEE Transactions on Vehicular Technology 67 (9): 7955–7968. doi:10.1109/TVT.2018.2839980. https://vbn.aau.dk/da/publications/c6ef8551-533a-4331-8fe4-880785176abf. 
  10. Miao, Yang; Pedersen, Troels; Gan, Mingming; Vinogradov, Evgenii; Oestges, Claude (2018). "Reverberant Room-to-Room Radio Channel Prediction by Using Rays and Graphs". IEEE Transactions on Antennas and Propagation 67 (1): 484–494. doi:10.1109/TAP.2018.2878088. https://vbn.aau.dk/ws/files/288682366/FINAL_VERSION_2.pdf. 
  11. Pedersen, Troels; Steinbock, Gerhard; Fleury, Bernard H. (2014). "Modeling of outdoor-to-indoor radio channels via propagation graphs". 2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS): 1–4. doi:10.1109/URSIGASS.2014.6929300. ISBN 978-1-4673-5225-3. https://vbn.aau.dk/da/publications/0d4675ae-f70a-4c2b-8749-1f7528307166. 
  12. Adeogun, Ramoni; Bharti, Ayush; Pedersen, Troels (2019). "An Iterative Transfer Matrix Computation Method for Propagation Graphs in Multiroom Environments". IEEE Antennas and Wireless Propagation Letters 18 (4): 616–620. doi:10.1109/LAWP.2019.2898641. Bibcode: 2019IAWPL..18..616A. https://vbn.aau.dk/da/publications/fd012fee-261d-4219-b3cb-8ef1baf94475. 
  13. Pratschner, S.; Blazek, T.; Zöchmann, E.; Ademaj, F.; Caban, S.; Schwarz, S.; Rupp, M. (2019). "A Spatially Consistent MIMO Channel Model With Adjustable K Factor". IEEE Access 7: 110174–110186. doi:10.1109/ACCESS.2019.2934635.  https://dx.doi.org/10.1109%2FACCESS.2019.2934635
  14. Cheng, Wenpu; Tao, Cheng; Liu, Liu; Sun, Rongchen; Zhou, Tao (2014). "Geometrical channel characterization for high speed railway environments using propagation graphs methods". 16th International Conference on Advanced Communication Technology: 239–243. doi:10.1109/ICACT.2014.6778956. ISBN 978-89-968650-3-2.  https://dx.doi.org/10.1109%2FICACT.2014.6778956
  15. Zhou, Tao; Tao, Cheng; Salous, Sana; Tan, Zhenhui; Liu, Liu; Tian, Li (2014). "Graph‐based stochastic model for high‐speed railway cutting scenarios". IET Microwaves, Antennas & Propagation 9 (15): 1691–1697. doi:10.1049/iet-map.2014.0827.  https://dx.doi.org/10.1049%2Fiet-map.2014.0827
  16. Bharti, A.; Adeogun, R.; Pedersen, T. (2020). "Learning Parameters of Stochastic Radio Channel Models From Summaries". IEEE Open Journal of Antennas and Propagation 1: 175–188. doi:10.1109/OJAP.2020.2989814.  https://dx.doi.org/10.1109%2FOJAP.2020.2989814
  17. Adeogun, Ramoni (2019). "Calibration of Stochastic Radio Propagation Models Using Machine Learning". IEEE Antennas and Wireless Propagation Letters 18 (12): 2538–2542. doi:10.1109/LAWP.2019.2942819. Bibcode: 2019IAWPL..18.2538A.  https://dx.doi.org/10.1109%2FLAWP.2019.2942819
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