# Blockchain-Driven Intelligent Scheme for IoT-Based Public Safety System beyond 5G Networks
## 3 Role of Blockchain in 6G Services
### Resource Management  
The most important service in a 6G wireless communication system is utilizing various mobile resources such as memory, bandwidth, power, and channel. However, managing these resources and fulfilling user demands, such as on-demand service and real-time visibility, is critical. Moreover, an increasing number of smart applications, such as smart cities, smart homes, e-healthcare, smart grid, smart agriculture, autonomous vehicle, holographic communication, etc., require real-time access to various resources. Therefore, resource utilization, allocation, and management are required based on user needs. Many researchershave proposed efficient and optimal resource allocation schemes [54; 55; 56; 57]; however, these schemes are centralized, where a single authority verifies the user and allocates resources as per their need. They face various security threats, such as user identity, information confidentiality, malicious attacks, and a single point of failure. Blockchain is considered to be a promising technology to address the abovementioned issues. For example, [PERSON] et al., in [58], integrated blockchain with MEC-based IoT applications to enhance the performance of network attributes and ensure data-sharing authenticity. They presented the cloud-edge collaborative resource allocation mechanism by introducing a collective reinforcement learning (CRL) scheme. The authors jointly optimized the data offloading, blockchain node intervals, and transmit power to enhance the energy efficiency of the proposed scheme. In [59], the authors incorporated blockchain technology with the Internet of Everything (IoE) applications. They proposed a blockchain-enabled metaheuristic approach for resource allocation in a cyber twin-driven 6G-IoE environment. Additionally, they designed an optimal resource allocation algorithm using graph clustering based on a quasi-oppositional search and rescue optimization approach. Their findings showed that the proposed work reduced average system cost to 2.63 and power consumption to 0.012 mW compared to the predefined work. Further, [PERSON] et al. [60] intended to optimize the Industrial IoT device's energy allocation by reducing energy consumption and computation overhead. Therefore, they incorporated blockchain with IIoT systems and proposed a deep Q-learning (DQL)-enabled optimization framework that ensures data security and energy efficiency. Finally, the proposed scheme is compared with existing approaches, and it performs better in terms of the computation overhead and weighted cost. \begin{table}
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**Author** & **Year** & **6G Application** & **Objective** & **Implication of Blockchain** & **Methodology** & **Remarks** \\ \hline Network slicing & [PERSON] et al. [39] & 2022 & NFV and SDN & Contact-aware authentication & The proposed scheme tackle security, QoS guarantee, and improper resource utilization challenges through network slicing and load balancing. & Generative adversarial and DAG-blockchain. & Generative adversarial and privacy threats of the 6G. \\ \hline Network slicing & [PERSON] et al. [40] & 2021 & NFV and SDN & Multi domain network slicing. & Offers end-to-end network slice orchestration services and privacy-preserving scheme for private network. & CoNet consensus algorithm. & The scheme does not consider time complexity for multiparty computation. & The scheme does not consider time complexity for multiparty computation. 4 Case Study: Blockchain, 6G, and UAV-Based Collaborative Architecture for Public Safety Application  
This section shows the working of the proposed architecture, which is AI-, blockchain-, and 6G-based secure UAV communication for public safety scenarios such as fire incidents, road accidents, and criminal activity. Figure 2 shows five layers of the proposed architecture, i.e., data, intelligence, blockchain, application, and communication layers. The working of each layer is discussed as follows.