Open Access
ARTICLE
Energy Efficient Resource Allocation Approach for Renewable Energy Powered Heterogeneous Cellular Networks
Yifei Wei1, *, Yu Gong1, Qiao Li1, Mei Song1, *, Xiaojun Wang2
1 Beijing Key Laboratory of Work Safety Intelligent Monitoring, Beijing University of Posts and Telecommunications, Beijing, 100867, China.
2 School of Electronic Engineering, Dublin City University, Dublin, 9, Ireland.
* Corresponding Authors: Yifei Wei. Email: ; Mei Song. Email: .
Computers, Materials & Continua 2020, 64(1), 501-514. https://doi.org/10.32604/cmc.2020.010048
Received 11 February 2020; Accepted 02 April 2020; Issue published 20 May 2020
Abstract
In this paper, maximizing energy efficiency (EE) through radio resource
allocation for renewable energy powered heterogeneous cellular networks (HetNet) with
energy sharing, is investigated. Our goal is to maximize the network EE, conquer the
instability of renewable energy sources and guarantee the fairness of users during
allocating resources. We define the objective function as a sum weighted EE of all links
in the HetNet. We formulate the resource allocation problem in terms of subcarrier
assignment, power allocation and energy sharing, as a mixed combinatorial and
non-convex optimization problem. We propose an energy efficient resource allocation
scheme, including a centralized resource allocation algorithm for iterative subcarrier
allocation and power allocation in which the power allocation problem is solved by
analytically solving the Karush-Kuhn-Tucker (KKT) conditions of the problem and a
water-filling problem thereafter and a low-complexity distributed resource allocation
algorithm based on reinforcement learning (RL). Our numerical results show that both
centralized and distributed algorithms converge with a few times of iterations. The
numerical results also show that our proposed centralized and distributed resource
allocation algorithms outperform the existing reference algorithms in terms of the
network EE.
Keywords
Cite This Article
Y. Wei, Y. Gong, Q. Li, M. Song and X. Wang, "Energy efficient resource allocation approach for renewable energy powered heterogeneous cellular networks,"
Computers, Materials & Continua, vol. 64, no.1, pp. 501–514, 2020. https://doi.org/10.32604/cmc.2020.010048
Citations