LTE-A网络下M2M通信上行链路资源分配算法研究  

RESEARCH ON RESOURCE ALLOCATION ALGORITHM FOR M2M COMMUNICATION UPLINK IN LTE-A NETWORK

作　　者：王建平[1] 柳传嘉 朱程辉[1] 孙伟[1] Wang Jianping;Liu Chuanjia;Zhu Chenghui;Sun Wei(School of Electric Engineering and Automation,Hefei University of Technology,Hefei 230009,Anhui,China)

机构地区：[1]合肥工业大学电气与自动化工程学院,安徽合肥230009

出　　处：《计算机应用与软件》2018年第10期121-125,共5页Computer Applications and Software

基　　金：国家自然科学基金项目(51304058;61301114)

摘　　要：针对加强的长期演进LTE-A(Long Term Evolution-Advanced)网络下机器对机器M2M(Machine-to-Machine)通信上行链路的能量效率问题,提出一种基于LTE-A网络中M2M通信上行链路调度的资源分配算法。构建系统模型与定义最大能量效率目标函数;通过对原系统模型重构将具有非线性约束条件能量效率最优问题化解为二维背包问题;采用Charnes-Cooper变换和Glover的线性化方案,使该NP-Hard问题转化为混合整数线性规划MILP(Mixed-integer linear programming)问题。仿真结果表明,该方法相比与轮询算法和比例公平算法,能较大幅度地提高能量效率,降低丢包率。For the energy efficiency of M2M communication uplink in LTE-A network, a resource allocation algorithm was proposed based on M2M communication uplink scheduling in LTE-A network. We constructed the system model and defined the maximum energy efficiency objective function. The optimal problem of energy efficiency with nonlinear constraints was resolved into a two-dimensional knapsack problem by reconfiguration of the original system model. Charnes-Cooper transformation and the linearization scheme of Glover were adopted to transform NP-Hard problem into a mixed-integer linear programming problem. The simulation results show that the proposed method can greatly improve the energy efficiency and ~duce packet loss rate compared with the polling algorithm and the proportional fairness algorithm.

关 键 词：加强的长期演进网络 能量效率 上行调度 机器对机器 

分 类 号：TP393[自动化与计算机技术—计算机应用技术] TN929.5[自动化与计算机技术—计算机科学与技术]