Analog least mean square (ALMS) loop is a promising mechanism to suppress self-
interference (SI) in an in-band full-duplex (IBFD) system. In this letter, a general solution for …

Analog least mean square (ALMS) loop is a promising method to cancel self-interference
(SI) in in-band full-duplex (IBFD) systems. In this paper, the steady state analyses of the …

This paper evaluates the performance of an analog least mean square (ALMS) loop
employed to cancel self-interference in in-band full-duplex (IBFD) orthogonal frequency …

One of the main bottlenecks in practical full-duplex systems is the oscillator phase noise,
which bounds the possible cancellable self-interference power. In this paper, a digital …

Analog least mean square (ALMS) loop is a promising structure for self-interference (SI)
mitigation in full-duplex radios due to its simplicity and adaptive capability. However, being …

In this paper, we propose an analog self-interference cancelation scheme for full-duplex
wireless orthogonal frequency-division multiplexing (OFDM) systems. Since the delay of the …

Rather than using existing self-interference cancellation methods, which essentially consist
of reconstruction and subtraction, this paper proposes a novel approach, based on …

In-band full-duplex (IBFD) technology has been extensively researched over the last
decade, and numerous techniques have been proposed to cancel self-interference (SI) …

Blind known self-interference cancellation (BKSC) is particularly attractive in self-
interference (SI) reduction for full-duplex (FD) systems, because it requires no interference …

Full-duplex systems are expected to double the spectral efficiency compared to conventional
half-duplex systems if the self-interference signal can be significantly mitigated. Digital …