系统工程与电子技术 ›› 2018, Vol. 40 ›› Issue (7): 1608-1614.doi: 10.3969/j.issn.1001-506X.2018.07.28

• 通信与网络 • 上一篇    下一篇

非完美信道信息下LTE-V2V通信最优功率控制

邱斌1,2,肖海林1,3   

  1. 1. 桂林电子科技大学认知无线电与信号处理教育部重点实验室, 广西 桂林 541004;
    2. 桂林理工大学信息科学与工程学院, 广西 桂林 541004;
    3. 温州大学物理与电子信息工程学院, 浙江 温州 325035
  • 出版日期:2018-06-26 发布日期:2018-06-28

Optimal power control for LTE vehicle-to-vehicle communication withimperfect channel state information#br#

QIU Bin1,2, XIAO Hailin1,3   

  1. 1. Key Laboratory of Cognitive Radio and Information Processing, Guilin University of Electronic Technology, Guilin 541004, China;
    2. College of Information Science and Engineering, Guilin University of Technology, Guilin 541004, China;
    3. College of Physics and Electronic Information Engineering, Wenzhou University, Wenzhou 325035, China
  • Online:2018-06-26 Published:2018-06-28

摘要:

针对非完美信道状态信息下LTE-V2V (long-term-evolution vehicle-to-vehicle)通信系统中V2V用户与蜂窝用户频谱复用带来的共道干扰问题,提出了一种以最大化能效为目标的最优功率控制方案。该方案通过V2V用户间通信距离的变化来刻画车载通信的时变特性,并利用随机几何理论对LTE-V2V通信系统中的共道干扰进行数学建模。同时,在蜂窝用户的中断概率和V2V用户最大功率约束条件下,得到V2V用户传输功率的可行域。并在此基础上,建立起最大化V2V用户能效目标函数,求解得到V2V用户的最优功率。数值分析表明,通过调整V2V用户的接入密度可最大化平均和速率,并且在不同V2V用户最大通信距离下,提出的功率控制方法所对应的能效均大于先前的最大功率分配方法所对应的能效。

Abstract:

To suppress the co-channel interference between cellular users and vehicle-to-vehicle (V2V) users in long-term-evolution (LTE) V2V communication system, an optimal power control scheme for energy efficiency (EE) maximization is presented with imperfect channel state information. In the scheme, the characteristics of time varying vehicular communication are described by the variation of communication distance between V2V users, and the co-channel interference of LTE-V2V communication system is modeled by stochastic geometry. Meanwhile, the feasible region of V2V users’ transmission power is obtained under the constraint of guaranteeing outage probability of cellular users and maximizing transmission power of V2V users. Further, the EE maximization target function of V2V users is formulated to solve the optimal power of V2V users. Numerical results show that the average sum rates can be maximized by adjusting the access density of V2V users and the EE of the proposed scheme can be improved in comparison with that of the previous maximum transmit power allocation scheme under different maximum communication distances of V2V users.