PERFORMANCE ANALYSIS OF FUTURE COMMUNICATIONS SYSTEMS UNDER RESIDUAL HARDWARE IMPAIRMENTS
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Date
2020-04
Authors
Tlebaldiyeva, Leila
Journal Title
Journal ISSN
Volume Title
Publisher
Nazarbayev University School of Engineering and Digital Sciences
Abstract
Cognitive radio (CR) and millimeter wave (mmWave) communication are two potential
technologies for future wireless communication systems to meet ever-increasing consumer
data demand. The significant advantage of CR is its ability to improve spectrum
utilization by introducing spectrum management paradigms between primary and cognitive
users. An even more significant enabling technology for future communications is
mmWave communication that offers enormous bandwidth at mmWave frequency bands.
Low-grade transceiver hardware is often utilized in modern communication systems
to lower the cost of potential networks. The residual hardware distortion noise originating
from high rate and low-grade transceiver hardware is a vital parameter to consider while
designing reliable systems. This dissertation work pursues to model residual transceiver
hardware impairments by using the statistical additive Gaussian model, which is mathematically
tractable and can be embedded in complex system configurations.
In this thesis, we first develop a system model for a dual-hop decode-and-forward
underlay CR relay network operating under residual hardware impairments and derive
a closed-form expression for the outage probability performance. Moreover, this work
provides useful discussions on the design aspects of wireless communication systems in
terms of the outage probability given residual transceiver noise level and fading parameters
of channel.
Secondly, we study the spectrum sensing technique by employing an improved energy
detector (ED) under residual hardware constraints. We present a novel test statistic
for improved ED that accounts for residual distortion noise when the fading statistics of
the received signal follows the distribution. Moreover, we derive closed-form expressions
for the probabilities of detection and false alarm and the area under the receiver
operating characteristic curve (AUC) for additive white Gaussian and Nakagami-m fading
channels. Our work proposes a new diversity concept of p-order-law combining and
p-order-law selecting schemes to combat the adverse effect of residual hardware impairments.
Thirdly, our study develops an analytical framework for analog beamforming deviceto-
device mmWave communication constrained by residual hardware impairments and
other random impairments such as multi-user interference, inter-beam radio frequency
(RF) power leakage, and imperfect channel state information (CSI). We perform in-depth
outage probability and ergodic capacity analysis for the proposed system model.
Finally, we propose to implement a maximum sub-array transmission (MST) scheme
built on a hybrid beamforming structure that enables multi-user communication and high
outage probability and ergodic capacity performance. The MST diversity suffers from RF
power leakage and transceiver distortion noise that are addressed in this work.
The hardware impaired communication systems transmit at considerably lower rates
than the ideal ones, and, therefore, our research emphasizes the importance of residual
distortion modeling.
Description
Keywords
Cognitive radio, CR, millimeter wave, mmWave, ED, energy detector, AUC, channel state information, CSI, maximum sub-array transmission, MST, Research Subject Categories::TECHNOLOGY