Research On The LTE Uplink Power Control Under Heterogenous Services Background

With the continuous update of communication technology, the explosive development ofmobile Internet produces a large number of heterogeneous services. In this paper, theheterogeneous services is divided into two classes, namely machine to machine (M2M)communication and human to human (H2H) communication, and we focus on the rising M2Mcommunication. By the driving of the various application requirements, M2M communicationmode is gradually replaced the traditional communication service, such as remotemeasurement, intelligent household, location tracking which grow more and more deeply intopeople’s life. While people are enjoying their M2M communication with productionefficiency and convenience of life, they are looking forward to more rich, more extensiveM2M applications. From the development speed of M2M application, in the near future, tensof thousands of machine of terminal will be added to the communication network. From thesuperiority of the network coverage and wireless access,3G network is the most convenientand commonly used bearer network of heterogeneous services. However, as a long-termevolution of next generation network technology, the3GPP LTE have a higher transmissionrate, greater system capacity, lower transmission delay and lower operating costs, so LTEmust become the main bearer network of the heterogeneous services in the future.This paper introduces the basic structure of LTE, air interface, LTE physical layer and themain reason for cell co-channel interference in the beginning. Then we study the mainoperations areas and different characteristics forM2M services, we classified the M2Mservices according to the characteristics and two representatives M2M services (small randomdata services and video surveillance services) were modeled. In the modeling part, the M2Mservices is modeled from session-level and packet-level. In session-level, we determine thedistribution of M2M services arrival. While in packet-level, we determine the number ofresource blocks occupied by one M2M session. Through the M2M services modeling, areliable and effective theoretical model was provided for solving the inter-cell interferenceprobability and simulation of the LTE uplink power control algorithm.Since the terminal will only occupy M2M LTE uplink transmission link when the massterminals arrive in LTE network, this paper forces on the LTE uplink power control algorithm.On the basis of the open-loop and closed-loop power control algorithm algorithms, LTEinter-cell interference probability was solved by the Markov batch arrival model, and by theinter-cell interference probability SINR threshold was calculated. Then we divide the cell onthe user’s location and adopt different power adjustment strategy for users in different locations. This paper proposes two improved power control algorithm. The first improvedalgorithm optimizes the existing LTE uplink power control algorithm without considering thepresence of massive M2M terminals; the second algorithm considers a situation when massiveM2M terminals are in LTE network and takes a different power control scheme for twotypical M2M services to ensure the traditional network communication services andhigh-latency requirements quality of Service.Last, the paper uses MATLAB to simulate the LTE uplink, the M2M source model andtwo improved power control algorithms were added to the simulation system. Simulation andanalysis results prove the correctness of the improved algorithm, and the traditionalclosed-loop power control algorithm is compared to prove the superiority of the two improvedalgorithms.