H2H与M2M共存场景下的上行资源分配算法

未来网络中将有大量的机器与机器（machine-to-machine，M2M）通信终端，比人与人（human to human，H2H）通信终端至少要多出2个数量级，网络中传统的资源分配算法无法满足新业务的通信需求.基于H2H与M2M共存场景，本文通过分析M2M终端特性，提出了一种基于背包模型的分级传输的资源分配算法，此分配算法优先保障H2H与时延敏感的M2M通信业务的服务质量（Quality of Service，QoS），同时充分考虑时延非敏感的M2M的业务特性，节省能量消耗.仿真结果表明该算法能够提高资源利用率，同时满足H2H与M2M业务的QoS.

An Uplink Resource Allocation Algorithm under the Scenario of Coexistence of H2H & M2M Based on Knapsack Model

In the future networks,there will be a large number of machine-to-machine (M2M) communication terminals,which are at least two orders of magnitude higher than the user equipments (UEs).The traditional resource allocation algorithm cannot meet the requirements of the new service.Under the scenario of coexistence of H2H and M2M,this paper presents a resource allocation algorithm based on knapsack model by analyzing the characteristics of M2M terminals.This new algorithm can guarantee the QoS of H2H and delay sensitive M2M communication service,while taking full account of the characteristics of non-sensitive M2M communication service to save energy consumption.Simulation results show that the algorithm can improve the resource utilization rate and simultaneously satisfy the QoS of H2H and M2M services.