Document Type
Article
Publication Date
6-1-2019
Abstract
In this paper, the energy efficiency in a cellular network with device-to-device communications is studied from user fairness perspective. A mixed-integer max-min optimization problem is formulated, in which both mode selection and resource allocation are considered. Since the optimal solution requires exhaustive search, which is NP-hard, two suboptimal methods are derived. First, a Lagrangian decomposition-based method is proposed to jointly solve subcarrier assignment and power allocation with integer constraint relaxation under different modes. To further reduce the computational complexity, a low-complexity decomposition (LCD) method is derived. A novel mode selection scheme, a subcarrier assignment scheme, a power allocation scheme, and a mode switching scheme are introduced and analyzed. The LCD method is scalable and suitable for a large number of devices and subcarriers. Simulation results demonstrate that our proposed suboptimal methods achieve satisfactory energy efficiency performance and promote the fairness among individual users.
Publication Source (Journal or Book title)
IEEE Systems Journal
First Page
1273
Last Page
1284
Recommended Citation
Guo, S., Zhou, X., Xiao, S., & Sun, M. (2019). Fairness-Aware Energy-Efficient Resource Allocation in D2D Communication Networks. IEEE Systems Journal, 13 (2), 1273-1284. https://doi.org/10.1109/JSYST.2018.2838539
