Optimal Cell Selection Scheme for Load Balancing in Heterogeneous Radio Access Networks 


Vol. 37,  No. 12, pp. 1102-1112, Dec.  2012


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  Abstract

We propose a cell selection and resource allocation scheme that assigns users to nearby accessible cells in heterogeneous wireless networks consisting of macrocell, femtocells, and Wi-Fi access points, under overload situation. Given the current power level of all accessible cells nearby users, the proposed scheme finds all possible cell assignment mappings of which user should connect to which cell to maximize the number of users that the network can accommodate at the same time. We formulate the cell selection problem with heterogeneous cells into an optimization problem of binary integer programming, and compute the optimal solution. We evaluate the proposed algorithm in terms of network access failure compared to a local ad-hoc based cell selection scheme used in practical systems using network level simulations. We demonstrate that our cell selection algorithm dramatically reduces network access failure in overload situation by fully leveraging network resources evenly across heterogeneous networks. We also validate the practical feasibility in terms of computational complexity of our binary integer program by measuring the computation time with respect to the number of users.

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  Cite this article

[IEEE Style]

H. Lee, "Optimal Cell Selection Scheme for Load Balancing in Heterogeneous Radio Access Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 12, pp. 1102-1112, 2012. DOI: .

[ACM Style]

HyungJune Lee. 2012. Optimal Cell Selection Scheme for Load Balancing in Heterogeneous Radio Access Networks. The Journal of Korean Institute of Communications and Information Sciences, 37, 12, (2012), 1102-1112. DOI: .

[KICS Style]

HyungJune Lee, "Optimal Cell Selection Scheme for Load Balancing in Heterogeneous Radio Access Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 12, pp. 1102-1112, 12. 2012.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880