基于排队论的D2D蜂窝异构网络的性能分析

本文对在蜂窝网络中的具有业务缓存功能的D2D通信进行性能分析，与满业务模型不同本文建立动态数据到达的D2D 通信模型。针对D2D用户的业务数据随机到达的特性，建立一种动态干扰下D2D用户数据发送状态的M/G/1排队模型，并考虑到来自蜂窝用户的干扰和信道衰落的影响。本文采用自适应调制编码技术将D2D的信干噪比划分区间来确定发送速率，为了分析D2D用户缓存中的数据包排队状态，本文用嵌入马氏链分析并求解它的稳态分布，由稳态分布推导得到平均吞吐量、平均时延等参数的表达式。仿真结果验证了理论分析的正确性和合理性。 

Performance analysis based on queuing theory for D2D underlaying cellular networks

In this paper, we focused on the performance analysis of the buffer-aided D2D communication in cellular networks. Different from the previous studies of full traffic model, we profiled a tractable transmission model for D2D communication with dynamic data arrival. Considering the effect of the interference from cellular user and the channel fading, The D2D user data transmission process with a dynamic interference model was depicted by M/G/1 queuing model. Adaptive modulation and coding was used to divide signal-to-interference and noise ratio values regions which corresponded to a fixed data rate. In order to analyze the situation of data packets queuing up in the D2D user buffer, this paper formulated it as a Embedded Markov chain and computed its steady-state distribution. We adopt the adaptive transmission rate to make queuing analysis which need predict the SINR in certain intervals and use a dynamic traffic model. Finally, the s of performance metrics in terms of average queue length, mean throughput, average packet delay and packet dropping probability were obtained. Simulation results show the validity and rationality of the theoretical analysis.