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Probabilty of Detection in Energy Detection in Cog
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Probabilty of Detection in Energy Detection in Cognitive Radio
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Software-Defined-Cognitive-Radio-Using-Matlab
4.0
This report contains basic information on Cognitive Radio and Software Defined Radio. Software Defined Radio is an emerging technique in this domain that promises easy portability and adaptability of new techniques on the same hardware. Cognitive Radio technique utilizes this Software Defined Radio to intelligently and efficiently utilize the available frequency spectrum knowing about the side information of other users sharing the same spectrum. The report talks about the Cognitive Radio technique and goes into details of its Software implementation (on Simulink and MATLAB) using Spectrum Sensing and the practicality of cognitive radio in our present scenario of communication and its actual hardware implementation on Software Defined Radio.
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Massive MIMO in the UL/DL of Cellular Networks: Ho
4.0
We consider the uplink (UL) and downlink (DL) of non-cooperative multi-cellular time-division duplexing (TDD) systems, assuming that the number N of antennas per base station (BS) and the number K of user terminals (UTs) per cell are large. Our system model accounts for channel estimation, pilot contamination, and an arbitrary path loss and antenna correlation for each link. We derive approximations of achievable rates with several linear precoders and detectors which are proven to be asymptotically tight, but accurate for realistic system dimensions, as shown by simulations. It is known from previous work assuming uncorrelated channels, that as N ! 1while K is fixed, the system performance is limited by pilot contamination, the simplest precoders/detectors, i.e., eigenbeamforming (BF) and matched filter (MF), are optimal, and the transmit power can be made arbitrarily small. We analyze to which extent these conclusions hold in the more realistic setting where N is not extremely large
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Design of a Chain MIMO-OFDM transmission
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The multi-antenna technology is and will be increasingly used in our systems free transmission son. It is used in the context of 3rd Generation mobile networks. This technique allows data transfers at a longer range and greater speed.
The purpose of this project is to design a chain of Matlab multiple antenna transmission complete. For that we will initially design the system MISO (Multiple Input Single Output) that is to say, two transmit antennas and antenna
reception. Then in a second step we will generalize MIMO (Multiple Input Multiple Output, two transmit antennas and two receive antennas). we will complete design by MISO-OFDM system.
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