Research On Mobile Edge Computing Of LEO Communication Network

As the times change,with the development of satellite production and launch related technologies,the Low-Earth-Orbit(LEO)satellite communication network is changing the market structure of the traditional satellite industry and the mobile communication field.Due to the limitations of traditional satellite communication network architecture,satellites were only used as information transfer stations to relay and forward tasks,thus large transmission delay often occurs,which cannot effectively meet the low delay requirements of high real-time tasks.In order to deal with these challenges in the era of massive Internet of Things,the LEO communication network is expected to take on more complex roles besides relays.Therefore,the new service mode and network architecture of the LEO communication network urgently need to be expanded.In view of the abundant airborne resources in the LEO satellite communication network,and referring to the contributions of Mobile Edge Computing(MEC)in terrestrial communication networks,this article focuses on the LEO communication network empowered by MEC.Under the coexisting opportunities and challenges,this research is carried out from the following two perspectives:First,to solve the limitations of the current LEO communication network such as response time,this paper proposes a collaborative edge computing architecture suitable for LEO satellite scenarios,which named as "LBEC".While helping to achieve global network coverage,this architecture fills in the research gaps in the current satellite-ground collaborative joint edge computing architecture;in addition,it reasonably expands the functions of the LEO satellite network and breaks through the limitations of the traditional satellite network architecture.Through system simulation,the experimental results show that compared with traditional cloud computing architecture,"LBEC" reduces user response delay by nearly 70%.Second,in order to cope with the problem of computing offloading of multi-user and multi-server under the "LBEC" architecture,this paper designs an offloading strategy optimization algorithm based on genetic algorithm that adapts to the "LBEC" architecture.Under the multi-objective optimization offloading model this article designs which considers the difference in user acceptance,it considers two types of satellite and ground edge servers,and makes full use of server resources to provide a optimal solution with the least consumption.By comparing and verifying with the three offloading strategies of LP,SICQ and GICQ,this algorithm has better user adaptability and can effectively reduce the overall consumption of system.