Research Information System
Thesis Type: Doctorate
Institution Of The Thesis: Gazi University, Fen Bilimleri Enstitüsü, Turkey
Approval Date: 2020
Thesis Language: Turkish
Student: Musa Civil
Supervisor: Özgür Ertuğ
Open Archive Collection: AVESIS Open Access Collection
Abstract:In recent years, the use of Non-Orthogonal Multiple Access (NOMA) techniques in order to provide high efficiency and massive connection in the design of 5G communication systems has attracted much attention and researches have been continued in this area. Most of the communication systems to achieve multiple access use space, time, frequency and one or more than one orthogonal coded sources. The most important capacity limitation is spectral efficiency in orthogonal techniques. NOMA techniques are presented as an alternative, which are called the key of the next generation communication technology. Code Space Multiple Access (CSMA) supports high efficiency in new generation communication systems, which is a combination of Multi Input Multi Output (MIMO) and one of the NOMA technique, Sparse Coded Multiple Access (SCMA). In this work, the capacity increasing effects analysis are presented for MIMO and SCMA systems. Optimal Algorithm (OA), which supports capacity increasing by making variable transmitter and receiver antenna selection, is used for MIMO-SCMA systems and related results are presented. Receiver Based Instant Signal Noise Ratio algorithm (RBISNR) which uses channel state information at receiver side instead of channel state information at transmitter side like as optimum algorithm is developed and analysis are carried out. The capacity and bit error rate results are presented for both algorithms by applying variable antenna selection and variable antenna quantity. Finally, Adaptive Power Allocation (APA) extension is applied to RBISNR algorithm to decrease bit error rate for desired level and results are shared in this study.