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Full-duplex (FD), where the terminal transmits and receives signals simultaneously using the same frequency-band and time-slots, has been treated as one of the potential candidate techniques to enhance the spectrum efficiency of wireless communications. To achieve the maximum transmission rate for FD multiple input multiple output (MIMO) terminal, all antennas equipped on the terminal need to not only work in FD mode, but also in multiplexing mode. However, the most challenging problem in wireless FD MIMO communications is how to efficiently mitigate the self-interference (SI). In this paper, we propose the correlation-based digital mitigation scheme, the positive-negative array-element (PNAE) block, and the fractal array-element-based mitigation approach to mitigate the SI within one antenna. Then, we integrate the FD into the multiplexing MIMO. The large SI among the different antennas and array-elements are mitigated using the proposed adaptive diagonal loading (ADL)-based beamforming SI mitigation scheme. The simulation results verify our theoretical analyses and show that our developed SI mitigation schemes can significantly reduce the SI for FD MIMO.

In this paper, we design transmit beamforming for a full duplex base station (FD-BS) considering both self-interference mitigation and physical-layer security. The proposed design is formulated as minimizing the power consumption of FD-BS under different signal-to-interference-and-noise-ratio (SINR) constraints. Semidefinite relaxation (SDR) is used to convert the initial nonconvex optimization to be a convex semidefinite programming (SDP) problem. Then the optimality of SDR is strictly proved by showing the existence of the rank-one optimal solutions. To reduce the computational complexity, we develop zero forcing beamforming-based suboptimal algorithms, where the solutions can be obtained using golden search and closed-form solutions can be derived in each step. Simulation results are then provided to verify the efficiency of the proposed algorithms. [ABSTRACT FROM PUBLISHER]

Current global positioning system receivers can acquire weak satellite signals with C/N0 = 15 dB/Hz if there is no self-interference from other strong satellite signals. This correspondence presents a computational efficient partitioned subspace projection method to mitigate the self-interference. The method is evaluated using simulated signals and a block-based weak signal acquisition algorithm. [ABSTRACT FROM AUTHOR]