Title: Channel adaptive OFDM systems with quantized feedback
Language: English
Authors: Bosanska, Dagmar 
Qualification level: Diploma
Keywords: WiMAX; OFDM Systeme; Leistung und Bit Loading; PER Adaptation; Greedy Algorithmus; MIMO; Kapazitat
WiMAX; OFDM Systems; Power and bit loading; PER adaptation; Greedy algorithm; MIMO; Capacity
Advisor: Rupp, Markus 
Assisting Advisor: Mehlführer, Christian
Issue Date: 2008
Number of Pages: 78
Qualification level: Diploma
In this diploma thesis, I developed algorithms to improve the throughput of data networks based on single-input single-output (SISO) and multiple-input multiple-output (MIMO) wireless links. The aim is to use the spectrum more efficiently and flexible, while providing the required reliability of the transmission and adaptation of network behavior. These techniques are based on theoretically optimal solutions maximizing the throughput and are too demanding to be used directly in the practice. Therefore, some simplifications are needed and I evaluated their impacts on the network performance.
The optimal solutions are originally designed for uncoded systems. To overcome this shortcoming in more practical applications, I created a framework for coded systems with bit error ratio and packet error ratio adaptation. In this framework, the type of coding can be easily replaced once the theoretical formulas for the new modulation and coding scheme are known. Similarly, the error distribution modeling used in the packet error ratio evaluation can be further improved. The performance of this approach is evaluated in a WiMAX simulator and compared to the achievable channel capacity as a reference.
URI: https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-27269
Library ID: AC05039324
Organisation: E389 - Institut für Nachrichtentechnik und Hochfrequenztechnik 
Publication Type: Thesis
Appears in Collections:Thesis

Files in this item:

File Description SizeFormat
Channel adaptive OFDM systems with quantized feedback.pdf3.96 MBAdobe PDFThumbnail
Show full item record

Page view(s)

checked on Feb 18, 2021


checked on Feb 18, 2021

Google ScholarTM


Items in reposiTUm are protected by copyright, with all rights reserved, unless otherwise indicated.