Author
Narmanlıoğlu, Ömer, Zeydan, E.
Publication Date
2017
Publication Place
-
IEEE
Subject
MIMO, OFDMA, Schedulers, Timers
Type
Document
Language
Turkish
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
978-1-5090-6494-6
Record ID
bed3248e-abed-40c7-9bf5-140771c5fdb4
Library Location
Electrical & Electronics Engineering
Date
2017
Notes
Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text
In this paper, the performances of schedulers that allocate resources to many users based on different algorithms in multiple-input multiple-output (MIMO) and orthogonal frequency division multiple access (OFDMA) based cellular wireless networks are examined. In addition to OFDMA's conventional time and frequency resources, antenna resources created with the MIMO structure are included in the algorithms. After giving basic information about MIMO and OFDM technologies, the performances of Round Robin (RR), Proportional Fair (PF) and Maximum Throughput (MT) timers in Long Term Evolution (LTE) networks were evaluated. Using the macro cell urban area channel model, the LTE system architecture containing multiple antenna structures is taken into account. Shannon Capacity and Jain's fairness index were used for performance evaluations. In addition, the trade-offs between maximizing capacity and achieving fairness have been demonstrated through Monte Carlo simulations. In this paper, we investigate the performances of schedulers, which basically allocate the resources to multiple users based on different algorithms, in multiple-input multiple-output (MIMO) and orthogonal frequency division multiple access (OFDMA) based cellular wireless networks. In addition to conventional OFDMA resources which are time and frequency, antennas are also considered as resource during the scheduling process. After explaining the basic concepts of MIMO and OFDMA technologies, the performances of Round Robin (RR), Proportional Fair (PF) and Maximum Throughput (MT) scheduling algorithms are evaluated in Long Term Evolution (LTE) networks. LTE system architecture including multiple antenna structure with the use of macro cell urban area channel model is considered. Shannon capacity and Jain's fairness index are utilized for performance evaluations. Additionally, the common trade-offs between maximizing capacity and achieving fairness are presented through Monte Carlo simulations.
DOI
10.1109/SIU.2017.7960166