Research On Packet Scheduling Algorithms For Mixed Business In LTE Systems

Future mobile communication systems need to support higher transmission ratesand accommodate more users, and quality of service (QoS)for protecting a variety ofbusiness. The existence of multi-service and multi-user shared in the wirelesscommunication network, the design of effective packet scheduling algorithms willhelp to achieve this goal.The effectiveness and fairness of the scheduling in a wirelesscommunication network usually conflict mutualy,scheduling algorithm must be basedon the QoS requirements of different users,and the optimal compromise between thetwo. Therefore,how to design packetscheduling algorithm for guaranteeing user’s QoSand improving the system capacity is a research topic in wireless communications.Due to the different business has its own characteristics and different QoSrequirements, the considerations in the design of the scheduling algorithms are alsodifferent. For example, data services need to transfer large amounts of data, whichrequires the algorithm can provide higher data rates to ensure that the systemthroughput; but voice service delay is very sensitive to the algorithm for minimizingthe delay and ensuring that short-term fairness.This paper focuses on packet scheduling algorithms based on the coexistence ofreal-time business and non-real-time business in the LTE system.Firstly,paper analysized the current real-time business and non-real-time businessscheduling algorithms, and pointed out their shortcomings, and then detaillyoverviewed the LTE radio resource management and the basic knowledge of packetscheduling algorithms.Then classified in detail to discuss the packet scheduling algorithm based on theclassic real-time business and non-real-time business, by a large number of computersimulations to study their performance. Algorithm for non-real-time business, mainlyfocus on the system fairness, throughput, delay and jitter performance; algorithm forreal-time business, mainly to assess the key performance indicators such as the packettimeout rate, average packet waiting time and delay jitter. Finally pointed out a improved packet scheduling algorithm based on PFQ forLTE systems to support the coexistence of multi-service in the fourth chapter. Theimprovement process of the algorithm is not only taking into account the keyrequirements of the real-time services such as packet delay, but also take into accountthe high rate of non-real-time business transfer requests. The improved algorithm onthe basis of the PFQ algorithm proposed updates of the SR. Through a lot of computersimulations show that, under the premise of the fairness of all users,non-real-userperformance throughput indicate and real-time-user performance the packet timeoutrate are superior to the present MPF and VTQ algorithm based on mixed business.