Coding for Caching in 5G Networks - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles IEEE Communications Magazine Year : 2017

Coding for Caching in 5G Networks

Abstract

One of the major goals of the 5G technology roadmap is to create disruptive innovation for the efficient use of the radio spectrum to enable rapid access to bandwidth-intensive multimedia services over wireless networks. The biggest challenge toward this goal lies in the difficulty in exploiting the multicast nature of the wireless channel in the presence of wireless users that rarely access the same content at the same time. Recently, the combined use of wireless edge caching and coded multicasting has been shown to be a promising approach to simultaneously serve multiple unicast demands via coded multicast transmissions, leading to order-of-magnitude bandwidth efficiency gains. However, a crucial open question is how these theoretically proven throughput gains translate in the context of a practical implementation that accounts for all the required coding and protocol overheads. In this article, we first provide an overview of the emerging caching- aided coded multicast technique, including state-of-the-art schemes and their theoretical performance. We then focus on the most competitive scheme proposed to date and describe a fully working prototype implementation in CorteXlab, one of the few experimental facilities where wireless multiuser communication scenarios can be evaluated in a reproducible environment. We use our prototype implementation to evaluate the experimental performance of state-of-the-art caching-aided coded multicast schemes compared to state-of-the-art uncoded schemes, with special focus on the impact of coding computation and communication overhead on the overall bandwidth efficiency performance. Our experimental results show that coding overhead does not significantly affect the promising performance gains of coded multicasting in small-scale realworld scenarios, practically validating its potential to become a key next generation 5G technology.
Fichier principal
Vignette du fichier
coding-caching.pdf (1.43 Mo) Télécharger le fichier
Rate.pdf (112.88 Ko) Télécharger le fichier
bandwidth.pdf (283.37 Ko) Télécharger le fichier
bw_gain-eps-converted-to.pdf (8.72 Ko) Télécharger le fichier
figure1.pdf (360.78 Ko) Télécharger le fichier
figure2.pdf (215.23 Ko) Télécharger le fichier
figure3.pdf (172.52 Ko) Télécharger le fichier
figure4.pdf (550.89 Ko) Télécharger le fichier
perf_v1-eps-converted-to.pdf (21.12 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Origin : Files produced by the author(s)
Origin : Files produced by the author(s)
Origin : Files produced by the author(s)
Origin : Files produced by the author(s)
Origin : Files produced by the author(s)
Origin : Files produced by the author(s)
Origin : Files produced by the author(s)
Origin : Files produced by the author(s)

Dates and versions

hal-01492353 , version 1 (21-03-2017)

Identifiers

Cite

Yasser Fadlallah, Antonia Maria Tulino, Dario Barone, Giuseppe Vettigli, Jaime Llorca, et al.. Coding for Caching in 5G Networks. IEEE Communications Magazine, 2017, 55 (2), pp.106 - 113. ⟨10.1109/MCOM.2017.1600449CM⟩. ⟨hal-01492353⟩
689 View
1518 Download

Altmetric

Share

Gmail Facebook X LinkedIn More