A New Dual Connective Network Resource Allocation Scheme Using Two Bargaining Solution


KIPS Transactions on Computer and Communication Systems, Vol. 10, No. 8, pp. 215-222, Aug. 2021
https://doi.org/10.3745/KTCCS.2021.10.8.215,   PDF Download:
Keywords: 5G network, Resource Allocation, Dual connectivity, game theory, Bargaining Solution
Abstract

In order to alleviate the limited resource problem and interference problem in cellular networks, the dual connectivity technology has been introduced with the cooperation of small cell base stations. In this paper, we design a new efficient and fair resource allocation scheme for the dual connectivity technology. Based on two different bargaining solutions - Generalizing Tempered Aspiration bargaining solution and Gupta and Livne bargaining solution, we develop a two-stage radio resource allocation method. At the first stage, radio resource is divided into two groups, such as real-time and non-real-time data services, by using the Generalizing Tempered Aspiration bargaining solution. At the second stage, the minimum request processing speeds for users in both groups are guaranteed by using the Gupta and Livne bargaining solution. These two-step approach can allocate the 5G radio resource sequentially while maximizing the network system performance. Finally, the performance evaluation confirms that the proposed scheme can get a better performance than other existing protocols in terms of overall system throughput, fairness, and communication failure rate according to an increase in service requests.


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Cite this article
[IEEE Style]
C. W. Sun and K. S. Wook, "A New Dual Connective Network Resource Allocation Scheme Using Two Bargaining Solution," KIPS Transactions on Computer and Communication Systems, vol. 10, no. 8, pp. 215-222, 2021. DOI: https://doi.org/10.3745/KTCCS.2021.10.8.215.

[ACM Style]
Chon Woo Sun and Kim Sung Wook. 2021. A New Dual Connective Network Resource Allocation Scheme Using Two Bargaining Solution. KIPS Transactions on Computer and Communication Systems, 10, 8, (2021), 215-222. DOI: https://doi.org/10.3745/KTCCS.2021.10.8.215.