165 research outputs found
On Phase Noise Suppression in Full-Duplex Systems
Oscillator phase noise has been shown to be one of the main performance
limiting factors in full-duplex systems. In this paper, we consider the problem
of self-interference cancellation with phase noise suppression in full-duplex
systems. The feasibility of performing phase noise suppression in full-duplex
systems in terms of both complexity and achieved gain is analytically and
experimentally investigated. First, the effect of phase noise on full-duplex
systems and the possibility of performing phase noise suppression are studied.
Two different phase noise suppression techniques with a detailed complexity
analysis are then proposed. For each suppression technique, both free-running
and phase locked loop based oscillators are considered. Due to the fact that
full-duplex system performance highly depends on hardware impairments,
experimental analysis is essential for reliable results. In this paper, the
performance of the proposed techniques is experimentally investigated in a
typical indoor environment. The experimental results are shown to confirm the
results obtained from numerical simulations on two different experimental
research platforms. At the end, the tradeoff between the required complexity
and the gain achieved using phase noise suppression is discussed.Comment: Published in IEEE transactions on wireless communications on
October-2014. Please refer to the IEEE version for the most updated documen
Self-Interference Cancellation Using Time-Domain Phase Noise Estimation in OFDM Full-Duplex Systems
In full-duplex systems, oscillator phase noise (PN) problem is considered the
bottleneck challenge that may face the self-interference cancellation (SIC)
stage especially when orthogonal frequency division multiplexing (OFDM)
transmission scheme is deployed. Phase noise degrades the SIC performance
significantly, if not mitigated before or during the SIC technique. The
presence of the oscillator phase noise has different impacts on the transmitted
data symbol like common phase error (CPE) and inter-carrier interference (ICI).
However, phase noise can be estimated and mitigated digitally in either time or
frequency domain. Through this work, we propose a novel and simple time domain
self-interference (SI) phase noise estimation and mitigation technique. The
proposed algorithm is inspired from Wiener filtering in time domain. Simulation
results show that the proposed algorithm has a superior performance than the
already-existing time-domain or frequency domain PN mitigation solutions with a
noticeable reduction in the computational complexity
Self-Interference Cancellation with Nonlinear Distortion Suppression for Full-Duplex Systems
In full-duplex systems, due to the strong self-interference signal, system
nonlinearities become a significant limiting factor that bounds the possible
cancellable self-interference power. In this paper, a self-interference
cancellation scheme for full-duplex orthogonal frequency division multiplexing
systems is proposed. The proposed scheme increases the amount of cancellable
self-interference power by suppressing the distortion caused by the transmitter
and receiver nonlinearities. An iterative technique is used to jointly estimate
the self-interference channel and the nonlinearity coefficients required to
suppress the distortion signal. The performance is numerically investigated
showing that the proposed scheme achieves a performance that is less than 0.5dB
off the performance of a linear full-duplex system.Comment: To be presented in Asilomar Conference on Signals, Systems &
Computers (November 2013
All-Digital Self-interference Cancellation Technique for Full-duplex Systems
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 cancellation is one of the lowest complexity
self-interference cancellation techniques in full-duplex systems. However, its
mitigation capability is very limited, mainly due to transmitter and receiver
circuit's impairments. In this paper, we propose a novel digital
self-interference cancellation technique for full-duplex systems. The proposed
technique is shown to significantly mitigate the self-interference signal as
well as the associated transmitter and receiver impairments. In the proposed
technique, an auxiliary receiver chain is used to obtain a digital-domain copy
of the transmitted Radio Frequency (RF) self-interference signal. The
self-interference copy is then used in the digital-domain to cancel out both
the self-interference signal and the associated impairments. Furthermore, to
alleviate the receiver phase noise effect, a common oscillator is shared
between the auxiliary and ordinary receiver chains. A thorough analytical and
numerical analysis for the effect of the transmitter and receiver impairments
on the cancellation capability of the proposed technique is presented. Finally,
the overall performance is numerically investigated showing that using the
proposed technique, the self-interference signal could be mitigated to ~3dB
higher than the receiver noise floor, which results in up to 76% rate
improvement compared to conventional half-duplex systems at 20dBm transmit
power values.Comment: Submitted to IEEE Transactions on Wireless Communication
Full-Duplex Systems Using Multi-Reconfigurable Antennas
Full-duplex systems are expected to achieve 100% rate improvement over
half-duplex systems if the self-interference signal can be significantly
mitigated. In this paper, we propose the first full-duplex system utilizing
Multi-Reconfigurable Antenna (MRA) with ?90% rate improvement compared to
half-duplex systems. MRA is a dynamically reconfigurable antenna structure,
that is capable of changing its properties according to certain input
configurations. A comprehensive experimental analysis is conducted to
characterize the system performance in typical indoor environments. The
experiments are performed using a fabricated MRA that has 4096 configurable
radiation patterns. The achieved MRA-based passive self-interference
suppression is investigated, with detailed analysis for the MRA training
overhead. In addition, a heuristic-based approach is proposed to reduce the MRA
training overhead. The results show that at 1% training overhead, a total of
95dB self-interference cancellation is achieved in typical indoor environments.
The 95dB self-interference cancellation is experimentally shown to be
sufficient for 90% full-duplex rate improvement compared to half-duplex
systems.Comment: Submitted to IEEE Transactions on Wireless Communication
Advanced DSP Algorithms For Modern Wireless Communication Transceivers
A higher network throughput, a minimized delay and reliable communications
are some of many goals that wireless communication standards, such as the fifthgeneration
(5G) standard and beyond, intend to guarantee for its customers. Hence,
many key innovations are currently being proposed and investigated by researchers in
the academic and industry circles to fulfill these goals. This dissertation investigates
some of the proposed techniques that aim at increasing the spectral efficiency, enhancing
the energy efficiency, and enabling low latency wireless communications systems.
The contributions lay in the evaluation of the performance of several proposed receiver
architectures as well as proposing novel digital signal processing (DSP) algorithms to
enhance the performance of radio transceivers. Particularly, the effects of several radio
frequency (RF) impairments on the functionality of a new class of wireless transceivers,
the full-duplex transceivers, are thoroughly investigated. These transceivers are then
designed to operate in a relaying scenario, where relay selection and beamforming
are applied in a relaying network to increase its spectral efficiency. The dissertation
then investigates the use of greedy algorithms in recovering orthogonal frequency
division multiplexing (OFDM) signals by using sparse equalizers, which carry out the
equalization in a more efficient manner when the low-complexity single tap OFDM
equalizer can no longer recover the received signal due to severe interferences. The
proposed sparse equalizers are shown to perform close to conventional optimal and
dense equalizers when the OFDM signals are impaired by interferences caused by the
insertion of an insufficient cyclic prefix and RF impairments
- …