Cognitive radio technology enables more flexible and efficient spectrum utilization, and leads to new challenges and opportunities for designing next generation wireless networks.
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The evolution of today's communication networks is no longer a pure engineering issue. We will study the economics issues in both wireless networks and Internet, with focus on the economic incentives of service providers.
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We study various interference management techniques such as power control, SINR optimization, and link scheduling for wireless networks.
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Wireless random MAC algorithms are widely used due to their simplicity and distributed nature. We aim at improving the existing algorithms so that they are more efficient and robust.
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Cooperative communications take advantage of the broadcast nature of wireless channels, use relay nodes as virtual antennas, and thus realize the benefits of multiple-input-multiple-output communications in situations where physical multiple antennas are difficult to deploy.
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We study the emerging economic and resource allocation issues in the smart grid, due to new mechanisms of generating, transporting, storing, and using energies.
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