Network-coded cooperation and multi-connectivity for massive content delivery

Israel Leyva-Mayorga, Roberto Torre, Vicent Pla, Sreekrishna Pandi, Giang T. Nguyen, Jorge Martinez-Bauset, Frank H. P. Fitzek

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Massive content delivery is in the spotlight of the research community as both data traffic and the number of connected mobile devices are increasing at an incredibly fast pace. The enhanced mobile broadband (eMBB) is one of the main use cases for the fifth generation of mobile networks (5G), which focuses on transmitting greater amounts of data at higher data rates than in the previous generations, but also on increasing the area capacity (given in bits per second per square meter) and reliability. However, the broadcast and multicast implementation in 5G and presents several drawbacks such as unexpected disconnections and the lack of device-specific QoS guarantees. As a result, whenever the exact same content is to be delivered to numerous mobile devices simultaneously, this content must be replicated. Hence, the same number of parallel unicast sessions as users are needed. Therefore, novel systems that provide efficient massive content delivery and reduced energy consumption are needed. In this paper, we present a network-coded cooperation (NCC) protocol for efficient massive content delivery and the analytical model that describes its behavior. The NCC protocol combines the benefits of cooperative architectures known as mobile clouds (MCs) with Random Linear Network Coding (RLNC). Our results show the benefits of our NCC protocol when compared to the establishment of numerous parallel unicast sessions are threefold: offload data traffic from the cellular link, reduce the energy consumption at the cooperating users, and provide throughput gains when the cellular bandwidth is insufficient.
Original languageEnglish
Article number8962074
JournalIEEE Access
Pages (from-to)15656-15672
Number of pages17
Publication statusPublished - 17 Jan 2020


  • Cooperation
  • fifth generation of mobile networks (5G)
  • massive content delivery
  • random linear network coding (RLNC)

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    Leyva-Mayorga, I., Torre, R., Pla, V., Pandi, S., Nguyen, G. T., Martinez-Bauset, J., & Fitzek, F. H. P. (2020). Network-coded cooperation and multi-connectivity for massive content delivery. IEEE Access, 8, 15656-15672. [8962074].