Multiple Link Access and Dynamic Resource Allocation Algorithm in Heterogeneous Wireless Networks

YU Hewei; LIANG Gen; QIN Yong

doi:10.11999/JEIT160583

Volume 39 Issue 4

Apr. 2017

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YU Hewei, LIANG Gen, QIN Yong. Multiple Link Access and Dynamic Resource Allocation Algorithm in Heterogeneous Wireless Networks[J]. Journal of Electronics & Information Technology, 2017, 39(4): 817-824. doi: 10.11999/JEIT160583

Citation:

YU Hewei, LIANG Gen, QIN Yong. Multiple Link Access and Dynamic Resource Allocation Algorithm in Heterogeneous Wireless Networks[J]. Journal of Electronics & Information Technology, 2017, 39(4): 817-824. doi: 10.11999/JEIT160583

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Multiple Link Access and Dynamic Resource Allocation Algorithm in Heterogeneous Wireless Networks

doi: 10.11999/JEIT160583

1.
(School of Computer Science and Engineering, South China University of Technology, Guangzhou 510641, China)
2.

Funds:

The National Natural Science Foundation of China (61070179, 61003066), The Natural Science Foundation of Guangdong Province (10151601501000015)

Received Date: 2016-06-03
Rev Recd Date: 2016-12-12
Publish Date: 2017-04-19

Abstract

Abstract

The main problems in the existing access control algorithm under the environment of Heterogeneous Wireless Networks (HWNs) is to set up the connection between mobile users and wireless network through a single transmission link and the resources allocation lacks for optimizing transmission of the whole network in the access process. In order to solve the above problems, the resource allocation model and access link rate model in HWNs are analyzed, and a Multiple Link Access and Dynamic Resource Allocation (MLA-DRA) algorithm that supports multi-link access is proposed in this paper. The algorithm takes the maximum of the system transmission rate as object function, transfers the user access process into the multi-stage decision process that is mutually connected, and employs the previous resource allocation state to calculate the optimal solution of next user, thus deduces the optimal value of system transmission rate. In the simulation platform, the performance of MLA-DRA algorithm is analyzed, and is compared with other algorithms. Experimental results show that MLA-DRA algorithm can effectively utilize the system resources and improve the system transmission rate.
- Heterogeneous Wireless Networks (HWNs),
- Dynamic allocation,
- Residual bandwidth,
- Maximum rate

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References(14)

References

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