一种H2H和M2M混合场景下的前导码资源动态分配机制

在H2H和M2M混合场景下,随着大规模M2M(Machine-to-Machine)设备接入网络,受限于有限的接入前导码资源,H2H(Human-to-Human)用户的接入成功率会大幅降低。针对此问题,提出了一种H2H和M2M混合场景下的前导码资源动态分配机制。在满足H2H平均接入时延要求的情况下,动态调整分配给M2M设备的前导码资源数量,然后根据分配的资源数量,自适应调整每个随机接入子帧内参与竞争的M2M设备数量,最大化M2M设备的接入效率。对M2M设备接入成功率及H2H平均接入时延进行仿真,结果表明所提方法相比固定资源分配机制,在H2H平均访问时延较低的情况下,明显提高了M2M设备的接入成功率。

Dynamic Allocation Mechanism of Preamble Resources Under H2H and M2M Coexistence Scenarios

As massive M2M devices are connected to the network,the network performance declines sharply.At the same time,due to limited preamble resources,the access success probability of H2H users is severely reduced.To solve this problem,this paper proposes a dynamic allocation mechanism of preamble resources in hybrid H2H and M2M scenarios.In this method,on the condition that the H2H average access delay meets requirements,the amount of preamble resources allocated to M2M devices is dynamically adjusted.Then,according to the amount of allocated preamble resources,the number of M2M devices competing in each random-access opportunity is dynamically adjusted to maximize the access efficiency of M2M devices.Through the simulation of the success probability of M2M devices and the average H2H access delay,experimental results show that this method significantly improves the success probability of M2M devices when the average H2H access delay is low,compared with the fixed resource allocation mechanism.