Mobile Computing Projects

Abstract:

Future small cell networks could use flying platforms like UAVs. Aerial base stations (BSs) can improve wireless network coverage, capacity, and reliability with UAVs. Self interference cancellation (SIC) techniques in full-duplex (FD) systems have made FD BSs practical.

We study resource allocation for multi-small cell networks with FD-UAVs as aerial BSs with imperfect SIC. We maximize the DL sum-rate, UL sum-rate, and the sum of the two. D.C. programming is used to develop successive convex approximation algorithms to find sub-optimal solutions for non-convex optimization problems.

Simulation results showed the validity and effectiveness of the proposed radio resource management algorithms compared to ground BSs in FD and HD modes. The results also show when aerial BS is better than ground BS and how FD transmission outperforms HD.

Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.

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