Research On LTE Uplink Scheduling With Mass M2M Service

In the last ten years, with the dual drive of technological innovation and applicationrequirements, Infrared sensors, Radio Frequency Identification, Remote control, Intelligenthome furnishing, Locating, Tracking, and other forms of machine to machine (M2M)communication have gone deep into people’s life, which greatly promote the socialproductive forces, they not only promote the industrial production efficiency, and reduceproduction costs, but also bring about much convenience to people’s daily life. Whileenjoying the efficiency and convenience brought by M2M communication, people expectricher and more extensive application of M2M. According to authorities’ forecast, in thefuture, there will be trillions of M2M terminals connected with each other. Currently,3G, theleading mobile communication networks, which provides seemless coverage worldwide andeassier access, is the most convenient and the most commonly used bearing network forM2M service.3GPP LTE as the3G UMTS long-term evolution technology, is the nextgeneration network of the3G mobile communication network, aiming to provide higher datatransmission rate, lower transmission delay, larger system capacity and coverage and loweroperational costs. LTE is going to be the most important bearing network of M2M service inthe future.This paper first studies the application fields of M2M communications as well as itsservice characters. Based on its service characters, M2M service is classified, and variety ofM2M service models are established using hierarchical modeling method, which consists ofsession level modeling and packet level modeling. Session level modeling is used todetermine the arrivial distribution of M2M service session, while packet level modeling is todetermine the packet number, packet length, and the intervals between packets in each M2Mservice session. M2M service modeling provide practical and reliable service models for thesubsequent simulation, which estimate the influence to LTE Uplink scheduling algorithm,and the H2H communication QoS with mass M2M service.LTE is the evolutional technology of the next generation mobile communicationnetwork, there will be quantities of M2M terminals connect to the mobile communicationnetwork through the LTE Uplink, and transmit service data to their central server. This paperdeeply studies the LTE Uplink scheduling procedure and scheduling algorithm, based on theresearch and analysis of the classic Packet Scheduling algorithm, two improved LTE Uplinkscheduling algorithms are proposed, which also meet LTE Uplink SC-FDMA system resource allocation’s "RB continuity" constraint. The improved algorithm1is to improve theexisting LTE Uplink scheduling algorithm regardless of mass M2M service scenario. On thebasis of improved algorithm1, the improved algorithm2takes the mass M2M servicescenario into consideration and introduces a phased scheduling strategy, which not onlyguarantees H2H communication QoS, but also maximizes the system capacity of M2M userand system throughoutput.At the end of the paper, LTE Uplink system level simulation environment is built usingthe scientific computing tools MATLAB, and various M2M service models also is built tojoin in the simulation. Then the two improved scheduling algorithms are added to thesimulation respectively to verify their accuracy and performance. Through repeatedsimulation and simulation analysis, the results show that the proposed two improvedscheduling algorithms achieve the expected target and have certain advantages.