混合D2D蜂窝网络中基于模拟退火算法的资源调度策略

发布时间：2018-06-24 05:19

本文选题：DD通信 + 资源分配　；参考：《电信科学》2017年04期

【摘要】：D2D通信是未来5G网络中一种近距离直通通信方式,在通信过程中,信息直接由发送端传给接收用户,而不需要经过基站的转发。在传统蜂窝网络中引入D2D通信可以极大地提升系统的总吞吐量、增大频谱资源的利用率以及降低发射终端的功耗。主要介绍了一种适用于混合D2D蜂窝网络中的资源分配方法,通过拉格朗日乘子法结合模拟退火算法实现频谱资源的分配,提出一种同时考虑信道容量和能耗的基于模拟退火算法的资源调度策略。本算法在维也纳仿真平台上经仿真验证,相比于传统贪婪优化算法,可以明显增大系统总吞吐量和频谱资源利用率。另外,算法中采用了分布式资源调度方法,D2D用户根据算法步骤自行搜索适合的目标信道并计算其发射功率,可以有效减少基站的信令开销。
[Abstract]:D2D communication is a kind of close-through communication mode in 5G network in the future. In the process of communication, the information is transmitted directly from the sender to the receiving user, but does not need to be forwarded through the base station. The introduction of D2D communication in traditional cellular networks can greatly improve the total throughput of the system, increase the utilization of spectrum resources and reduce the power consumption of the transmitting terminal. In this paper, a resource allocation method for hybrid D2D cellular networks is introduced. The spectrum resource allocation is realized by Lagrange multiplier method combined with simulated annealing algorithm. A resource scheduling strategy based on simulated annealing algorithm considering both channel capacity and energy consumption is proposed. Compared with the traditional greedy optimization algorithm, the proposed algorithm can significantly increase the total throughput and spectral resource efficiency of the system compared with the traditional greedy optimization algorithm. In addition, the distributed resource scheduling method (D2D) is used to search the suitable target channel and calculate the transmission power according to the algorithm steps, which can effectively reduce the signaling overhead of the base station.
【作者单位】：重庆邮电大学;
【基金】：国家科技重大专项基金资助项目(No.2015ZX03004004)~~
【分类号】：TN929.5

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