Load Optimization Based on Edge Collaboration in Software Defined Ultra-Dense Networks

Abstract

With the intelligence of user equipment and the popularization of emerging applications such as unmanned driving and face recognition, more and more computationally intensive and delay-sensitive tasks have been generated. As a new network paradigm, ultra-dense networks can greatly improve user access capabilities by deploying dense base stations (BSs). Edge computing can effectively guarantee the low-latency requirements of users in ultra-dense networks. However, the heterogeneity of servers, the distributed resources, and the dynamic energy consumption of mobile devices in ultra-dense networks make it extremely difficult for users to offload and load balance among servers. This paper applies the idea of software defined network to proposes an edge collaboration architecture to achieve resource sharing and efficient offloading of tasks based on the characteristics of global perception. In particular, considering the high load of the local server and the idle resources of the remote server, the best offloading strategy for users is obtained game theory. Simulation results show that the performance is improved by about 30% compared to the traditional local processing, edge offload and local edge random offload schemes. INDEX TERMS Software defined network, ultra dense network, load balancing, edge collaboration. I. INTRODUCTION

Digital Twin for 6G: Taxonomy, Research Challenges, and the Road Ahead

“…Simulation results shows how their proposed approach, obtained as decomposition of the original problem into two sub-optimization models, i.e., power reduction solved by Decision Tree Algorithm (DTA) and time overhead reduction solved Double Deep-Q-Learning (DDQN), outperform in terms of achieving lower latency and lower power consumption of the whole network, respect to other approaches proposed in literature [66], [67].…”

“…DT in the context of IIoT [33]- [55], [39], [40] [44], [45] DT in the context of IoV [52], [57], [60] DT and network management [62], [63], [67] Blockchain empowered DT [74]- [76], [78] DT on other 6G relevant services [79], [83] FIGURE 3. Classification of Current SoA on DT-enabled 6G services.…”