A Triple Optimization Strategy of Resource Allocation in Full-Duplex OFDMA Macrocell-femtocell Heterogeneous Networks

ZENG Fan-Zi; LI Qiao; LI Qiao

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A Triple Optimization Strategy of Resource Allocation in Full-Duplex OFDMA Macrocell-femtocell Heterogeneous Networks

ZENG Fan-Zi *,LI Qiao *,LI Qiao

College of Computer Science and Electronic Engineering of Hunan University, and Key Laboratory for Embedded and Network Computing of Hunan Province, Changsha 410082

*Correspondence author

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Funding: The National Natural Science Foundation of China （No.No.61672215）, The National Natural Science Foundation of China （No.U1613209）

Opened online: 3 May 2018

Accepted by: none

Citation: ZENG Fan-Zi,LI Qiao,LI Qiao.A Triple Optimization Strategy of Resource Allocation in Full-Duplex OFDMA Macrocell-femtocell Heterogeneous Networks[OL]. [ 3 May 2018] http://en.paper.edu.cn/en_releasepaper/content/4744787

We investigate the problem of cross-tier interference control in full-duplex (FD) Orthogonal Frequency Division Multiple Access (OFDMA) based heterogeneous networks (HetNets) consisting of macrocell and underlaying femtocells. A price mechanism is introduced where the macro base station (MBS) and femtocell base stations (FBSs) all aim to maximize their own utility function considering finite interference constraint. We propose a triple optimization strategy of power control, subcarrier allocation and price regulation which can solve the cross-tier interference optimization problem of femtocell to macrocell. We analyze the superiority of the barrier method for the utility function of the macrocell, and to a certain extent, it has a better convergence. Through the experiment, we can see that the proposed the triple resource allocation algorithm can effectively suppress cross-tier interference and maximize the utility of macrocell and femtocells.

Keywords:Heterogeneous networks, OFDMA, full-duplex communications, resource allocation.

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