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Cognitive radio networks have the ability to efficiently utilize the radio spectrum by allowing unlicensed users to communicate in the licensed frequency bands. Transmit beamformers can be designed by setting constraints on the interference temperature of the licensed users and signal to interference and noise ratios (SINRs) of the cognitive users. This design is however very sensitive to errors in...
A robust signal forwarding technique for wireless sensor and mesh networks using semidefinite constraints is proposed. The scheme considers a multiple source destination scenario where a set of relays assists forwarding signals from sources to destinations. In our work we consider a realistic environment where actual channel state information (CSI) available to the relays are in error. We propose...
Cognitive radio networks have the ability to efficiently utilize the scarce radio spectrum by allowing unlicensed users to access the licensed frequency bands in the absence of licensed users. Transmit beamformers can be designed by setting constraints on the interference temperature of the licensed users and signal to interference and noise ratios (SINRs) of the cognitive users. This design is however...
We propose a robust solution to the problem of multiuser downlink beamforming with constraints on per antenna power and quality of services (QoS). We assume only the erroneous channel state information (CSI) is available at the transmitter, which may arise due to quantization, feedback delay, feedback error, etc., and solve this problem within the framework of worst-case performance optimization....
Cognitive radios have the ability to efficiently utilize the spectrum, by intelligently sensing absence of licensed users and transmitting signal through the frequency bands that are not occupied. Spatial diversity techniques at the cognitive base station could further help in controlling the interference temperature levels of the licensed users when signals are transmitted to unlicensed users. This...
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