Joint Spectral Efficiency and Energy Efficiency in FFR-Based Wireless Heterogeneous Networks

Autor: Geng Wu, Bei Xie, Zekun Zhang, Apostolos Papathanassiou, Rose Qingyang Hu
Rok vydání: 2018
Předmět:
Zdroj: IEEE Transactions on Vehicular Technology. 67:8154-8168
ISSN: 1939-9359
0018-9545
DOI: 10.1109/tvt.2017.2701356
Popis: Heterogeneous cellular network is considered as an important network architecture to improve spectral efficiency and energy efficiency. Extensive research has revealed that spectral efficiency and energy efficiency could be two conflicting performance metrics under most scenarios. Toward the next generation 5G wireless systems, both spectral efficiency and energy efficiency become increasingly important. How to design a wireless system that jointly considers/optimizes these two performance metrics is critical yet challenging. This paper jointly analyzes the area spectral efficiency and area energy efficiency in a wireless heterogeneous network with inter-tier fractional frequency reuse. Proportional fairness resource allocation is used to balance the spectral efficiency and user fairness within each cell. A theoretical framework is formulated to analyze the area spectral efficiency and area energy efficiency in such a system. Fractional frequency reuse and proportional fairness resource allocation define the optimal power reduction factor and fractional bandwidth partition to maximize the joint area spectral efficiency and area energy efficiency. The system performance is evaluated by using the proposed scheme with different system parameter settings including base station densities, cell fractional bandwidth partition, power threshold, and base station power consumptions. The study shows that fractional frequency reuse with proper settings can significantly increase the area spectral efficiency and area energy efficiency in wireless heterogeneous networks.
Databáze: OpenAIRE