The demand for Massive Internet of Things (mIoT) have largely increased as it is used in many applications by many users. mIoT witnessed a widespread due to its low latency and throughput requirement while being able to provide an outstanding connectivity coverage. To transmit such a massive data, the mIoT adopt the ultra-reliable and low latency communication (URLLC) for improved network performance and spectrum access. In this paper, a novel Fractional Knapsack and Differential Hyper Plane Spectrum Access (FK-DHSA) approach is proposed. The proposed model estimates the communication channel within the constructed IoT cluster and allocates the spectrum based on demand. The proposed FK-DHSA provides 5 - 7% increased throughput, and access accuracy of 2% - 4%. Additionally, its able to reduce the error rate by 4–6% when compared to other existing techniques found in literature.

大规模物联网（mIoT）的需求已大大增加，因为许多用户将其用于许多应用程序中。mIoT因其低延迟和吞吐量要求而得到广泛应用，同时能够提供出色的连接范围。为了传输如此庞大的数据，mIoT采用了超可靠的低延迟通信（URLLC），以改善网络性能和频谱访问。本文提出了一种新颖的分数阶背包和差分超平面频谱访问（FK-DHSA）方法。提出的模型估计了构建的物联网集群内的通信信道，并根据需求分配频谱。拟议的FK-DHSA可提供5-7％的吞吐量增长，访问精度为2％-4％。另外，