异构网络中D2D资源优化算法研究

Research on D2D resource optimization algorithm in heterogeneous network

针对蜂窝用户和D2D(Device-to-Device)用户构成的混合异构网络中频谱资源利用率低的问题,提出了一种基于拉格朗日对偶的资源优化算法。该算法首先在保证蜂窝用户QoS需求的情况下,使D2D用户复用蜂窝用户上行链路中负载最轻的资源块,并构造拉格朗日对偶函数,通过不断迭代计算,实现了D2D用户发射功率的最佳分配。研究结果表明,此算法能使系统中的资源块充分利用并实现D2D用户吞吐量的最大化,且明显提高了系统吞吐量。此外,D2D用户的发射功率会随着迭代次数的增加而呈现出逐渐增大的趋势,且当迭代次数达到21次时,这种趋势将趋于平稳。

In order to solve the problem of low utilization of spectrum resources, a global optimization algorithm for resource alloca- tion based on Lagrangian duality is proposed for hybrid heterogeneous networks constructed by cellular users and D2D users. Under the condition of guaranteeing the QoS of cellular users, the algorithm firstly allocates the lightest uplink user resource block of the cellular users to D2D users, then the algorithm constructs the Lagrangian dual function, and iteratively calculates the optimal transmit power of the D2D users.The results show that the algorithm can maximize the throughput of the resource blocks in the system and make full use of them, and obviously improve the system throughput.Furthermore, the transmission power increases with the number of iterations, and when the number of iterations reaches 21, this trend will stabilize.