Document Type
Article
Publication Date
10-1-2017
Abstract
In this paper, we study resource allocation for full-duplex communications in an orthogonal frequency division multiple access femtocell network. We aim to maximize the throughput of the femtocell while avoiding severe inter-tier interference to the macrocell via joint sub-channel assignment and power allocation. To be more practical, we take channel estimation error into account and use the robust optimization theory to model the uncertainty in interference channels. By using the Lagrangian dual method, we decompose the original optimization problem into a primal problem and a dual problem. We adopt the concave-convex procedure to transform the non-convex primal problem into a tractable form through sequential convex approximations and then utilize the sub-gradient method to solve the dual problem. Simulation results show the effectiveness of the proposed algorithm and demonstrate the impact of channel uncertainty on the system performance.
Publication Source (Journal or Book title)
IEEE Transactions on Wireless Communications
First Page
6382
Last Page
6394
Recommended Citation
Xiao, S., Zhou, X., Yi, Y., Li, G., & Guo, W. (2017). Robust Resource Allocation in Full-Duplex-Enabled OFDMA Femtocell Networks. IEEE Transactions on Wireless Communications, 16 (10), 6382-6394. https://doi.org/10.1109/TWC.2017.2723399