Assignment on Adaptive Resource Allocation in Future Wireless Networks with Blockchain and Mobile Edge Computing

Research Area of Adaptive Resource Allocation in Future Wireless Networks with Blockchain and Mobile Edge Computing

The research is all about the adaptive resource allocation in future wireless networks with blockchain and mobile computing. The paper is providing a piece of brief information that how the resource allocation technique is effective in wireless networks by using mobile computing. The main research area presents the mobile edge computing which is completely bases on the blockchain using the mobile computing framework for the allocation of resources adaptively. Furthermore, the blockchain-based mobile-based computing framework is also presented where it is worked by the blockchain as the overlaid system to provide the functions of control as well as the management of the functions.

The motivation of the Research paper

In the motivation of the research paper, it is described the summary of the important points of the research on the adaptive resource allocation in the wireless networks, some significant proposed methods and the reasoning about the research. By using the blockchain-based wireless mobile edge computing framework, the consensus among the nodes are described and the main focus of the research on the point how the consensus can be reached to between the nodes but it also giving the guarantee about the performance of blockchain as well as the mobile edge computing because it is the biggest challenge ever. Furthermore, the block size, variety of consecutive blocks as well as the allocation resources are also produced through every related producer which are complicated to the blockchain-based mobile computing performance.

Although, the block generation as well as the adaptive resource allocation scheme is also proposed for this purpose. Where the computation capacity of the mobile edge computing servers, as well as the time varying wireless links, are considered to make some improvements in the outputs of the quality of services (QoS) as well as the overlaid blockchain system of the users in the underlaid system of mobile edge computing, size of the blocks, the allocation of spectrum as well as the number of producing the blocks for every producer are expressed as the problem of joint optimization (Guo, et al., 2020).

The problem they are trying to solve 

The researchers to solve such problems related to the adaptive resource allocation in the future wireless networks with blockchain-based mobile edge computing. The allocation of spectrum and the producing the blocks in large number for each producer are articulated as the joint optimization. The researchers of this study have also faced some other types of problems during research and to identify the expected results. The main problem regarding this research was that the research has no proper method to reach the consensus between the nodes while giving a guarantee of the performance of both blockchain and mobile edge computing immediately. The researchers of this study have used and performed several methods traditionally but the problem was interactable completely with such kind of methods. 

A summary of their approach and outcomes.

The researchers and drivers of the study on the adaptive resource allocation in the future wireless networks with the blockchain and the mobile edge computing have faced many problems in the research. So that’s why they did perform multiple traditional methods to resolve these problems but the problems were found very complex because they are not intractable. The researchers also performed the alternate of the learning approach. After applying this approach, they have found the results. 

Reference of Adaptive Resource Allocation in Future Wireless Networks with Blockchain and Mobile Edge Computing

Guo, F., Richard-Yu, F., Zhang, H., Ji, H., Liu, M., & Leung, V. C. (2020). Adaptive Resource Allocation in Future Wireless Networks With Blockchain and Mobile Edge. IEEE Transactions on Wireless Communications, 1689 - 1703.