基于认知MIMO网络的资源分配方法

Resource Allocation Method Based on Cognitive Multiple-Input Multiple-Output Networks

针对无线通信能耗较高的问题,基于多用户认知多输入多输出(MIMO)网络系统并利用时分复用-码分多址(TDM-CDMA)技术,提出一种"最佳时间&多用户共享"方法,以此来对次用户组并行分配时间资源。通过TDM-CDMA技术建立具有并行时间分配的多用户认知MIMO通信系统数学模型,该模型是非凸问题,利用注水算法和SDP松弛将该非凸问题转化为关于时间的凸优化问题后,运用贪婪算法求解此凸优化问题。在此基础上,对时间资源进行最小初始化分配和最佳时间分配。仿真结果表明,与利用传统TDMA技术串行分配时间资源的方法相比,该方法能够降低认知MIMO网络系统中的能耗。

Aiming at the problem of high energy consumption in wireless communication,based on multiuser cognitive Multiple-Input Multiple-Output（ MIMO） networks system and using Time Division Multiplexing-Code Division Multiple Access（ TDM-CDMA） technology,the ＂best time multiuser sharing ＂ method is proposed to allocate time resources to sub user groups in parallel. Firstly,the mathematical model of multiuser cognitive MIMO communication system with parallel time allocation is established by using TDM-CDMA method,and the model is nonconvex problem. Then,the nonconvex problem is transformed into the time-related convex optimization problem by water-filling algorithm and SDP relaxation. Secondly,the greedy algorithm is used to solve the convex optimization problem,on this basis,the minimum initialization distribution and the best time allocation of time resources are carried out. Simulation results show that compared with the traditional TDMA technology to allocate time resources,this method can reduce the energy consumption in the cognitive MIMO system networks.