# Sustainable Power Consumption for Variance-Based Integration Model in Cellular 6G-IoT System
## 1 Introduction
Assume that the centralized Baseband Unit (BU) receives signals from the IoT device and transmits them to the RRUs via a relay mechanism. The Ubiquitous Mobile Ultra BroadBand (uMUB), Ultrahigh Speed with Low Latency Communications (uHSLLC), and Ultrahigh Data Density (uHDD) are three further innovative classifications for 6G networks [30; 31]. The significant contributions that were reported in the literature have exploited the benefits of the 6G IoT. Few of the contributions have worked on enhancing the security features of the system, but the limitations still persist. The literature still lags with computational overhead and communication overhead, when the security layers such as anomaly detection are incorporated into the application system. The literature works follow a linear error model that often lags in precise data communication, and also the convex-optimization-assisted updating model does not consider the nonlinear environment when there is increased mobile users. To tackle these issues, the model needs to consider the variance of information. The enormous human cost and environmental burden make it unaffordable for huge IoT to change batteries frequently. Here, a few states of the models such as, for example, zero-forcing beamforming (ZFBF), uniform-forcing beamforming, Joint Beam forming Design Algorithm (JBDA), Artificial Neural Network (ANN) and K-nearest Neighbors (KNN) are employed in the literature and compared in the result analysis. As a result, using the wireless power transfer (WPT) technique to implement one-to-many charging by taking advantage of the wireless broadcast channel's open nature is intriguing. Energy beamforming has been added to increase the effectiveness of WPT over fading channels. In reality, information transmission, data aggregation, and energy supply are all interconnected. They compete on the same wire with fewer resources for improving performance. With scarce wireless resources, performance must be enhanced overall. To improve the efficiency of the system, the proposed model is used. In this regard, this paper follows a model with the following research contributions:  
* A variance-based integration scheme is proposed for a 6G-IoT system by considering constraints like energy, computation, consumption and communication, separately. * Here, the base station (BS) simultaneously charges numerous large IoT devices via WPT in the downlink. Then, in the uplink, IoT devices gathered the energy to carry out the communication task and the processing task in a same spectrum. In order to balance system performance, power consumption and computational complexity, the model is then integrated using IACO. * At last, the IACO algorithm deals with the subproblem for optimization of transmit beams. The two subproblems are assigning a user to a beam and resources to beams. The paper is organized as follows: The studies in the literature are outlined in Section 2. The system model and the process of the proposed VIM6G IOT is described in Section 3. Section 4 presented an analysis of the results. Finally, the conclusion is given in Section 5.