A Price-Based Optimization Strategy of Power Control and Resource Allocation in Full-Duplex Heterogeneous Macrocell-Femtocell Networks
Author(s) -
Fanzi Zeng,
Qiao Li,
Zhu Xiao,
Vincent Havyarimana,
Jing Bai
Publication year - 2018
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2018.2856627
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
In this paper, we investigate the problem of resource allocation and cross-tier interference mitigation in full-duplex orthogonal frequency division multiple access -based heterogeneous networks consisting of macrocell and underlaying femtocells. First, we design a price mechanism to maximize the utility of both macro base station and femtocell base stations under finite interference constraint. We then propose a triple optimization strategy for power control, subcarrier allocation, and price regulation to mitigate the cross-tier interference. For the macrocell, the barrier method is proposed to implement the price-based resource allocation and ensure the utility maximization. For the femtocells, we propose a Lagrangian optimization algorithm based on KKT conditions to solve the power control and subcarrier allocation, in which a closed-form solution is derived to tackle the dual multiplier problem. Simulation results demonstrate that the resource allocation algorithm can effectively neutralize the cross-tier interference and maximize the utility of the heterogeneous macrocell-femtocell networks.
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