Advanced Radio Resource Scheduling Algorithm for Energy Efficient Cellular Base Station
Abdel-Aziz, H., Newagy, F., Shafik, N., Hafez, I. (2017). Advanced Radio Resource Scheduling Algorithm for Energy Efficient Cellular Base Station. EKB Journal Management System, 17(AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 17 – April 11 - 13, 2017), 1-12. doi: 10.21608/asat.2017.22482
Hany M. Abdel-Aziz; Fatma Newagy; Nelly M. Shafik; Ismail Hafez. "Advanced Radio Resource Scheduling Algorithm for Energy Efficient Cellular Base Station". EKB Journal Management System, 17, AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 17 – April 11 - 13, 2017, 2017, 1-12. doi: 10.21608/asat.2017.22482
Abdel-Aziz, H., Newagy, F., Shafik, N., Hafez, I. (2017). 'Advanced Radio Resource Scheduling Algorithm for Energy Efficient Cellular Base Station', EKB Journal Management System, 17(AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 17 – April 11 - 13, 2017), pp. 1-12. doi: 10.21608/asat.2017.22482
Abdel-Aziz, H., Newagy, F., Shafik, N., Hafez, I. Advanced Radio Resource Scheduling Algorithm for Energy Efficient Cellular Base Station. EKB Journal Management System, 2017; 17(AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 17 – April 11 - 13, 2017): 1-12. doi: 10.21608/asat.2017.22482

Advanced Radio Resource Scheduling Algorithm for Energy Efficient Cellular Base Station

International Conference on Aerospace Sciences and Aviation Technology
Article 48, Volume 17, AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 17 – April 11 - 13, 2017, April 2017, Page 1-12  XML PDF (464.39 K)
Document Type: Original Article
DOI: 10.21608/asat.2017.22482
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Authors
Hany M. Abdel-Aziz1; Fatma Newagy2; Nelly M. Shafik3; Ismail Hafez4
1Teacher Assistance, Electronics & Communication Eng. Department, Modern Academy for Engineering and Technology, Cairo, Egypt.
2Assistant Professor, Electronics & Communication Eng. Department, Ain Shams University, Cairo 11519, Egypt.
3Assistant Professor, Electronics & Communication Eng. Department, Modern Academy for Engineering and Technology, Cairo, Egypt.
4Professor, Electronics & Communication Eng. Department, Ain Shams University, Cairo 11519, Egypt.
Abstract
This work is to introduce an advanced calculation to enhance the energy efficiency of the radio base station for MU-MIMO-OFDM framework. Advanced Radio Resource Scheduling (ARRS) is introduced. Power utilization is considered a standout amongst the most imperative parts of the research for the wireless network. In view of the increasing mindfulness for saving the earth, and to give green frameworks. The calculations fundamentally divided into two phases. First, it discovers the resource shares, and the number of dynamic antennas in light of channel state based on essential Resource Allocations as Bandwidth Adaptation (BA) and Discontinuous Transmission (DTX). Secondly, it applies the Amplitude Carving Greedy (ACG) and Inverse Water Filling (IWF) Algorithms for the ARRS. Which finds the ideal number of resource blocks allocated to every client in view of the wanted rates, and the number of dynamic receiving antennas that maximize the utilization of base station power for the time changing frequency selective channel. The results illustrate that the proposed ARRS Algorithm is giving an upgrade in the diminishment of the supply power utilization from 10% in low rates up to 17% in high rates, compared with essential asset designation for RAPS calculations.
Keywords
Green wireless network; energy efficient; radio resource management; OFDMA; MIMO
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