Radio resource allocation for full-duplex multicarrier wireless systems

Full-duplex technology has the potential to double the wireless system spectral efficiency by enabling simultaneous transmission and reception at the same time on the same frequency. In this paper, we address the subcarrier and power allocation problem for full-duplex system. The problem is coupled between uplink and downlink channels due to the self-interference and inter-user interference. As the problem is non-convex, a suboptimal algorithm is proposed based on the Frank-Wolfe approach. To this end, a subcarrier and power allocation is first performed for the downlink channel, and then the uplink resource allocation is represented as a D.C. (difference of two convex functions) problem. An approximation is used to convert the D.C. problem into two convex sub-problems, which are solved iteratively to produce a lower bound approximation for the non-convex objective. Simulation results show that the algorithm achieves fast convergence regardless of different initialization points, and can significantly improve the full-duplex performance comparing to the equal resource allocation approach. Furthermore, the full-duplex system with the proposed algorithm can achieve significant gains in spectral efficiency, that reach up to 48%, comparing to half-duplex system.