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Adaptive multi-objective optimization for distributed heterogeneous networks | IEEE Conference Publication | IEEE Xplore

Adaptive multi-objective optimization for distributed heterogeneous networks


Abstract:

In this paper, we focus on resource allocation for distributed broadband heterogeneous networks. Considering the fairness among different users, using the game-theoretic ...Show More

Abstract:

In this paper, we focus on resource allocation for distributed broadband heterogeneous networks. Considering the fairness among different users, using the game-theoretic diagram, a fair resource allocation scheme is proposed first under each mobile user's minimal rate constraint. Then, an optimal power allocation algorithm is derived based on the Lagrange optimization method. To further improve the convergence speed and reduce the computational complexity, an adaptive scalarization method is proposed. At the end, the persuasive simulation results show that the proposed approach not only enhances the overall system capacity compared with the scheme without power allocation, but also guarantees fairness among all the users.
Date of Conference: 03-07 December 2012
Date Added to IEEE Xplore: 14 March 2013
ISBN Information:
Print ISSN: 2166-0077
Conference Location: Anaheim, CA, USA

References

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