Implementation of Network-Coded Cooperation for Energy Efficient Content Distribution in 5G Mobile Small Cells

Abstract

The continuous increase of mobile data traffic calls for the design of energy-efficient content distribution mechanisms, to be incorporated in the fifth generation of mobile networks, 5G. One of the biggest concerns of the companies and the research community is to reduce the energy consumption in both the user equipments (UEs) and the network equipment. In this paper, we present a novel content distribution framework called Network-Coded Cooperative (NCC) Networks, which benefits from the interplay between mobile clouds (MC) and Random Linear Network Coding (RLNC) to reduce the overall energy consumption in the devices that take part in the communication. This novel framework leads to reduced energy consumption by offloading the cellular interface to a link with greater energy efficiency, for instance, WiFi, within the mobile small cell. We evaluate the performance of our framework analytically and in practical implementation (i.e., testbed) in terms of throughput, energy savings, packet decoding ratio, latency, and synchronicity. In comparison to the conventional content distribution system, for the case of four users, the analytical model and the testbed implementation show energy savings of more than 12% and 8%, respectively. Furthermore, network usage is reduced, losses are neutralized, and the content is synchronously distributed to all users.

QoS Aware Integrated Management Technique for 5G mmWave-Based Hetnets

“…Table 4 provides the measurement of average value of packet drop rate across the solutions for varied number of UE's. Compared to the proposed work, Zhang et al [14], Torre et al [25], Somesula et al [26] has 7%, 11.4%,12.2% higher packet drop rate. The packet drop rate at backhaul links has reduced due to integrated management of user, content and cache management in proposed solution compared to separate management of user, content, and cache.…”

“…The effectiveness of proposed work is compared against fuzzy logic-based cache management solution proposed by Somesula et al [26], content management-based solution proposed by Torre et al [25] and user management based solution proposed by Zhang et al [14].…”

“…Though the scheme has provisions for adapting to network conditions, it did not consider quality degradation during higher congestion in network. Torre et al [25] proposed a novel content distribution framework for 5G network with objective of reducing energy consumption and latency. The contents are coded using Random Linear Network Coding (RLNC) before distribution.…”

Surveying 5G Techno-Economic Research to Inform the Evaluation of 6G Wireless Technologies

“…Firstly, capacity can be greatly enhanced through increasing the density of cells and enabling greater spectrum reuse. A good example is the growth of small cell deployment [54], [55] which is used to significantly enhance the available capacity compared to a traditional approach using only macro cells [56], [57]. Indeed, the use of Heterogenous Networks (HetNets) in 5G [58]- [60] tie into the increased use of virtualization via Software Defined Networking and Network Function Virtualization (SDN/NFV), where such capabilities can enable network slicing to vertical sectors with different quality of service requirements [61]- [64].…”

Key Technologies of Cache and Computing in 5G Mobile Communication Network

“…The network caching strategy reduces the user's request waiting time and content sending waiting time by caching the content of the content provider to the caching node or base station of the 5G network in advance, reduces the sending energy consumption in the network, and improves the experience quality of network users [1]. The performance of caching strategy directly affects the caching efficiency of network content and the quality of user experience, which is one of the hot spots in the current 5G network research.…”