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Optimal Popularity-based Transmission Range Selection for D2D-supported Content Delivery

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Published:16 November 2020Publication History

ABSTRACT

Considering device-to-device (D2D) wireless links as a virtual extension of 5G (and beyond) cellular networks to deliver popular contents has been proposed as an interesting approach to reduce energy consumption, congestion, and bandwidth usage at the network edge. In the scenario of multiple users in a region independently requesting some popular content, there is a major potential for energy consumption reduction exploiting D2D communications. In this scenario, we consider the problem of selecting the maximum allowed transmission range (or equivalently the maximum transmit power) for the D2D links that support the content delivery process. We show that, for a given maximum allowed D2D energy consumption, a considerable reduction of the cellular infrastructure energy consumption can be achieved by selecting the maximum D2D transmission range as a function of content class parameters such as popularity and delay-tolerance, compared to a uniform selection across different content classes. Specifically, we provide an analytical model that can be used to estimate the energy consumption (for small delay tolerance) and thus to set the optimal transmission range. We validate the model via simulations and study the energy gain that our approach allows to obtain. Our results show that the proposed approach to the maximum D2D transmission range selection allows a reduction of the overall energy consumption in the range of 30% to 55%, compared to a selection of the maximum D2D transmission range oblivious to popularity and delay tolerance.

References

  1. 3GPP. 2015. (2015). https://www.3gpp.org/specifications/releases/68-release-12Google ScholarGoogle Scholar
  2. Arash Asadi, Qing Wang, and Vincenzo Mancuso. 2014. A Survey on Device-to-Device Communication in Cellular Networks. IEEE Communications Surveys & Tutorials, Vol. 16, 4 (2014), 1801--1819.Google ScholarGoogle ScholarCross RefCross Ref
  3. Gunther Auer, Vito Giannini, Claude Desset, Istvan Godor, Per Skillermark, Magnus Olsson, Muhammad Imran, Dario Sabella, Manuel Gonzalez, Oliver Blume, and Albrecht Fehske. 2011. How much energy is needed to run a wireless network? IEEE Wireless Communications, Vol. 18, 5 (oct 2011), 40--49.Google ScholarGoogle ScholarCross RefCross Ref
  4. Zlatka Avramova, Sabine Wittevrongel, Herwig Bruneel, and Danny De Vleeschauwer. 2009. Analysis and modeling of video popularity evolution in various online video content systems: Power-law versus exponential decay. Proc.1st International Conference on Evolving Internet (INTERNET '09) (2009), 95--100. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Salah Eddine Belouanas, Kim Loan Thai, Promé thé e Spathis, and Marcelo Dias de Amorim. 2019. Mobility-assisted offloading in centrally-coordinated cellular networks. Journal of Network and Computer Applications, Vol. 128, May 2018 (2019), 1--10.Google ScholarGoogle ScholarCross RefCross Ref
  6. Raffaele Bruno, Antonino Masaracchia, and Andrea Passarella. 2014. Offloading through Opportunistic Networks with Dynamic Content Requests. In Proc. 11th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS '14). Philadelphia, USA. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Klaus Doppler, Mika Rinne, Carl Wijting, Cassio Ribeiro, and Klaus Hugl. 2009. Device-to-device communication as an underlay to LTE-advanced networks. IEEE Communications Magazine, Vol. 47, 12 (dec 2009), 42--49. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. F. Rebecchi et al. 2015. Data Offloading Techniques in Cellular Networks: A Survey. IEEE Communications Surveys & Tutorials, Vol. 17, 2 (2015), 580--603.Google ScholarGoogle ScholarCross RefCross Ref
  9. Rosario Giuseppe Garroppo, Mohamed Ahmed, Saverio Niccolini, and Maurizio Dusi. 2018. A Vocabulary for Growth: Topic Modeling of Content Popularity Evolution. IEEE Transactions on Multimedia, Vol. 20, 10 (2018), 2683--2692.Google ScholarGoogle ScholarCross RefCross Ref
  10. ICT METIS Project. 2015. Deliverable 1.4: METIS Channel Models. (2015).Google ScholarGoogle Scholar
  11. Attila Korö si, Balá zs Székely, and Mikló s Máté. 2011. Modeling the content popularity evolution in video-on-demand systems. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, Vol. 63 LNICST (2011), 47--61.Google ScholarGoogle Scholar
  12. Ming Chun Lee, Hao Feng, and Andreas F. Molisch. 2020. Dynamic Caching Content Replacement in Base Station Assisted Wireless D2D Caching Networks. IEEE Access, Vol. 8 (2020), 33909--33925.Google ScholarGoogle ScholarCross RefCross Ref
  13. Michele Mangili, Fabio Martignon, and Antonio Capone. 2016. Performance analysis of Content-Centric and Content-Delivery networks with evolving object popularity. Computer Networks, Vol. 94 (jan 2016), 80--98. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Loreto Pescosolido, Marco Conti, and Andrea Passarella. 2018a. On the impact of the physical layer model on the performance of D2D-offloading in vehicular environments. Ad Hoc Networks, Vol. 81 (2018), 197--210.Google ScholarGoogle ScholarCross RefCross Ref
  15. Loreto Pescosolido, Marco Conti, and Andrea Passarella. 2018b. Performance Analysis of a Device-to-Device Offloading Scheme for Vehicular Networks. In Proc. IEEE 2018 International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM '18). Chania, Greece.Google ScholarGoogle ScholarCross RefCross Ref
  16. Filippo Rebecchi, Marcelo Dias de Amorim, and Vania Conan. 2016. Circumventing plateaux in cellular data offloading using adaptive content reinjection. Computer Networks, Vol. 106 (2016), 49--63. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Filippo Rebecchi, Lorenzo Valerio, Raffaele Bruno, Vania Conan, Marcelo Dias De Amorim, and Andrea Passarella. 2015. A joint multicast/D2D learning-based approach to LTE traffic offloading. Computer Communications, Vol. 72 (2015), 26--37. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Vincenzo Sciancalepore, Domenico Giustiniano, Albert Banchs, and Andreea Hossmann-Picu. 2016. Offloading Cellular Traffic Through Opportunistic Communications: Analysis and Optimization. IEEE Journal on Selected Areas in Communications, Vol. 34, 1 (jan 2016), 122--137.Google ScholarGoogle ScholarCross RefCross Ref
  19. John Whitbeck, Marcelo Amorim, Yoann Lopez, Jeremie Leguay, and Vania Conan. 2011. Relieving the wireless infrastructure: When opportunistic networks meet guaranteed delays. In 2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM '11). IEEE, 1--10. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. John Whitbeck, Yoann Lopez, Jérémie Leguay, Vania Conan, and Marcelo Dias de Amorim. 2012. Push-and-track: Saving infrastructure bandwidth through opportunistic forwarding. Pervasive and Mobile Computing, Vol. 8, 5 (2012), 682--697. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. C.-H. Yu, Olav Tirkkonen, Klaus Doppler, and Cá ssio Ribeiro. 2009. Power Optimization of Device-to-Device Communication Underlaying Cellular Communication. In Proc. 2009 IEEE International Conference on Communications (ICC '09). IEEE, 1--5. Google ScholarGoogle ScholarDigital LibraryDigital Library

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          cover image ACM Conferences
          MSWiM '20: Proceedings of the 23rd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
          November 2020
          278 pages
          ISBN:9781450381178
          DOI:10.1145/3416010

          Copyright © 2020 ACM

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          Publication History

          • Published: 16 November 2020

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