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Cognitive and relay networks : power allocation and breamforming | |
Author | Thilina, Karaputugala G.A.M. |
Call Number | AIT Thesis no.ICT-10-11 |
Subject(s) | Cognitive radio networks |
Note | A thesis submitted in partial fulfillment of the requirements for degree of Master of Engineering in Information and Communications Technologies, School of Engineering and Technology |
Publisher | Asian Institute of Technology |
Series Statement | Thesis ; no. ICT-10-11 |
Abstract | The system performance in the cognitive environment is very important due to the scarcity of the resources. In this thesis, the distributed cognitive radio pairs power allocation and the effect on primary user performance due to imperfect channel state information with beamforming are considered. The ability of modeling distributed, adaptive decision makers (cognitive radios) whose strategies affect all other such devices, motivate us to apply game theory for analyzing the performance of a cognitive environment. We describe how secondary users are modeled as a non cooperative game for power allocation. The iterative decision making procedure is applied to design the power allocation scheme. In particular, our proposed system helps the cognitive radios allocate their power so that they can access the licensed primary user channel opportunistically on the condition that they (secondary/cognitive users) agree to relay primary user transmit signal. The primary user performance degradation due to the incomplete channel state information (CSI) at the transmitter and the receiver is also studied when direct path is not exist between the primary transmitter and the receiver. The primary transmitter to cognitive transmitter and cognitive transmitter to primary receiver channel transmissions take the forms of maximum ratio transmission (MRT) and maximum ratio combining (MRC). The MRT weight vector at the primary transmitter is computed based on the outdated CSI due to feedback delay, and the MRC weight vector at the primary receiver is computed based on the CSI with Gaussian errors. The system statistic of end-to-end SNR and the performance measures are derived in closed form. |
Year | 2010 |
Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. ICT-10-11 |
Type | Thesis |
School | School of Engineering and Technology (SET) |
Department | Department of Information and Communications Technologies (DICT) |
Academic Program/FoS | Information and Communication Technology (ICT) |
Chairperson(s) | Rajatheva, R.M.A.P.; |
Examination Committee(s) | Ahmed, Kazi Mohiuddin;Poompat Saengudomlert; |
Scholarship Donor(s) | Government of Finland;Asian Institute of Technology Fellowship; |
Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2010 |