1,327 research outputs found
Unified Analysis of Cooperative Spectrum Sensing over Composite and Generalized Fading Channels
In this paper, we investigate the performance of cooperative spectrum sensing
(CSS) with multiple antenna nodes over composite and generalized fading
channels. We model the probability density function (PDF) of the
signal-to-noise ratio (SNR) using the mixture gamma (MG) distribution. We then
derive a generalized closed-form expression for the probability of energy
detection, which can be used efficiently for generalized multipath as well as
composite (multipath and shadowing) fading channels. The composite effect of
fading and shadowing scenarios in CSS is mitigated by applying an optimal
fusion rule that minimizes the total error rate (TER), where the optimal number
of nodes is derived under the Bayesian criterion, assuming erroneous feedback
channels. For imperfect feedback channels, we demonstrate the existence of a
TER floor as the number of antennas of the CR nodes increases. Accordingly, we
derive the optimal rule for the number of antennas that minimizes the TER.
Numerical and Monte-Carlo simulations are presented to corroborate the
analytical results and to provide illustrative performance comparisons between
different composite fading channels.Comment: Submitted to IEEE Trans. Veh. Tech
Capacity analysis of a multi-cell multi-antenna cooperative cellular network with co-channel interference
Characterization and modeling of co-channel interference is critical for the
design and performance evaluation of realistic multi-cell cellular networks. In
this paper, based on alpha stable processes, an analytical co-channel
interference model is proposed for multi-cell multiple-input multi-output
(MIMO) cellular networks. The impact of different channel parameters on the new
interference model is analyzed numerically. Furthermore, the exact normalized
downlink average capacity is derived for a multi-cell MIMO cellular network
with co-channel interference. Moreover, the closed-form normalized downlink
average capacity is derived for cell-edge users in the multi-cell
multiple-input single-output (MISO) cooperative cellular network with
co-channel interference. From the new co-channel interference model and
capacity, the impact of cooperative antennas and base stations on cell-edge
user performance in the multi-cell multi-antenna cellular network is
investigated by numerical methods. Numerical results show that cooperative
transmission can improve the capacity performance of multi-cell multi-antenna
cooperative cellular networks, especially in a scenario with a high density of
interfering base stations. The capacity performance gain is degraded with the
increased number of cooperative antennas or base stations
On the Performance of DCSK MIMO Relay Cooperative Diversity in Nakagami-m and Generalized Gaussian Noise Scenarios
Chaotic Communications have drawn a great deal of attention to the wireless
communication industry and research due to its limitless meritorious features,
including excellent anti-fading and anti-intercept capabilities and jamming
resistance exempli gratia. Differential Chaos Shift Keying (DCSK) is of
particular interest due to its low-complexity and low-power and many attractive
properties. However, most of the DCSK studies reported in the literature
considered the additive white Gaussian noise environment in non-cooperative
scenarios. Moreover, the analytical derivations and evaluation of the error
rates and other performance metrics are generally left in an integral form and
evaluated using numerical techniques. To circumvent on these issues, this work
is dedicated to present a new approximate error rates analysis of multi-access
multiple-input multiple-output dual-hop relaying DCSK cooperative diversity
(DCSK-CD) in Nakagami-m fading channels (enclosing the Rayleigh fading as a
particular case). Based on this approximation, closed-form expressions for the
average error rates are derived for multiple relaying protocols, namely the
error-free and the decode-and-forward relaying. Testing results validate the
accuracy of the derived analytical expressions
Effective Capacity in Wireless Networks: A Comprehensive Survey
Low latency applications, such as multimedia communications, autonomous
vehicles, and Tactile Internet are the emerging applications for
next-generation wireless networks, such as 5th generation (5G) mobile networks.
Existing physical-layer channel models, however, do not explicitly consider
quality-of-service (QoS) aware related parameters under specific delay
constraints. To investigate the performance of low-latency applications in
future networks, a new mathematical framework is needed. Effective capacity
(EC), which is a link-layer channel model with QoS-awareness, can be used to
investigate the performance of wireless networks under certain statistical
delay constraints. In this paper, we provide a comprehensive survey on existing
works, that use the EC model in various wireless networks. We summarize the
work related to EC for different networks such as cognitive radio networks
(CRNs), cellular networks, relay networks, adhoc networks, and mesh networks.
We explore five case studies encompassing EC operation with different design
and architectural requirements. We survey various delay-sensitive applications
such as voice and video with their EC analysis under certain delay constraints.
We finally present the future research directions with open issues covering EC
maximization
Cognitive MIMO-RF/FSO Cooperative Relay Communication with Mobile Nodes and Imperfect Channel State Information
This work analyzes the performance of an underlay cognitive radio based
decode-and-forward mixed multiple-input multiple-output (MIMO) radio
frequency/free space optical (RF/FSO) cooperative relay system with multiple
mobile secondary and primary user nodes. The effect of imperfect channel state
information (CSI) arising due to channel estimation error is also considered at
the secondary user transmitters (SU-TXs) and relay on the power control and
symbol detection processes respectively. A unique aspect of this work is that
both fixed and proportional interference power constraints are employed to
limit the interference at the primary user receivers (PU-RXs). Analytical
results are derived to characterize the exact and asymptotic outage and bit
error probabilities of the above system under practical conditions of node
mobility and imperfect CSI, together with impairments of the optical channel,
such as path loss, atmospheric turbulence, and pointing errors, for orthogonal
space-time block coded transmission between each SU-TX and relay. Finally,
simulation results are presented to yield various interesting insights into the
system performance such as the benefits of a midamble versus preamble for
channel estimation.Comment: revision submitted to IEEE Transactions on Cognitive Communications
and Networkin
Information-Theoretic Security of MIMO Networks under - Shadowed Fading Channels
This paper investigates the impact of realistic propagation conditions on the
achievable secrecy performance of multiple-input multiple-output systems in the
presence of an eavesdropper. Specifically, we concentrate on the -
shadowed fading model because its physical underpinnings capture a wide range
of propagation conditions, while, at the same time, it allows for much better
tractability than other state-of-the-art fading models. By considering transmit
antenna selection and maximal ratio combining reception at the legitimate and
eavesdropper's receiver sides, we study two relevant scenarios the
transmitter does not know the eavesdropper's channel state information (CSI),
and the transmitter has knowledge of the CSI of the eavesdropper link.
For this purpose, we first obtain novel and tractable expressions for the
statistics of the maximum of independent and identically distributed (i.i.d.)
variates related to the legitimate path. Based on these results, we derive
novel closed-form expressions for the secrecy outage probability (SOP) and the
average secrecy capacity (ASC) to assess the secrecy performance in passive and
active eavesdropping scenarios, respectively. Moreover, we develop analytical
asymptotic expressions of the SOP and ASC at the high signal-to-noise ratio
regime. In all instances, secrecy performance metrics are characterized in
closed-form, without requiring the evaluation of Meijer or Fox functions. Some
useful insights on how the different propagation conditions and the number of
antennas impact the secrecy performance are also provided
Tractable Approach to MmWaves Cellular Analysis with FSO Backhauling under Feedback Delay and Hardware Limitations
In this work, we investigate the performance of a millimeter waves (mmWaves)
cellular system with free space optical (FSO) backhauling. MmWave channels are
subject to Nakagami-m fading while the optical links experience the Double
Generalized Gamma including atmospheric turbulence, path loss and the
misalignment between the transmitter and the receiver aperture (also known as
the pointing errors). The FSO model also takes into account the receiver
detection technique which could be either heterodyne or intensity modulation
and direct detection (IM/DD). Each user equipment (UE) has to be associated to
one serving base station (BS) based on the received signal strength (RSS) or
Channel State Information (CSI). We assume partial relay selection (PRS) with
CSI based on mmWaves channels to select the BS associated with the highest
received CSI. Each serving BS decodes the received signal for denoising,
converts it into modulated FSO signal, and then forwards it to the data center.
Thereby, each BS can be viewed as a decode-and-forward (DF) relay. In practice,
the relay hardware suffers from nonlinear high power amplification (HPA)
impairments which, substantially degrade the system performance. In this work,
we will discuss the impacts of three common HPA impairments named respectively,
soft envelope limiter (SEL), traveling wave tube amplifier (TWTA), and solid
state power amplifier (SSPA). Novel closed-forms and tight upper bounds of the
outage probability, the probability of error, and the achievable rate are
derived. Capitalizing on these performance, we derive the high SNR asymptotes
to get engineering insights into the system gain such as the diversity order.Comment: arXiv admin note: substantial text overlap with arXiv:1901.0424
On Secure Mixed RF-FSO Systems With TAS and Imperfect CSI
In this work, we analyze the secrecy outage performance of a dual-hop relay
system composed of multiple-input-multiple-output radio-frequency (RF) links
and a free-space optical (FSO) link while a multiple-antenna eavesdropper
wiretaps the confidential information by decoding the received signals from the
resource node. The channel state information (CSI) of the RF and FSO links is
considered to be outdated. We propose three transmit antenna selection (TAS)
schemes to enhance the secrecy performance of the considered systems. The
secrecy outage performance with different TAS schemes is analyzed and the
effects of misalignment and detection technology on the secrecy outage
performance of mixed systems are studied. We derive the closed-form expressions
for probability density function (PDF) and cumulative distribution function
(CDF) over M\'alaga channel with imperfect CSI. Then the closed-form
expressions for the CDF and PDF of the equivalent signal-to-noise ratio (SNR)
at the legitimate receiver over Nakagami- and M\'alaga channels are derived.
Furthermore, the lower bound of the secrecy outage probability (SOP) with
different TAS schemes are derived. Besides, the asymptotic results for SOP are
investigated by exploiting the unfolding of Meijer's -function when the
electrical SNR of FSO link approaches infinity. Finally, Monte-Carlo simulation
results are presented to testify the correctness of the proposed analysis. The
results illustrate that the outdated CSI shows a strong effect on the secrecy
outage performance. In addition, increasing the number of antennas at the
source cannot significantly enhance the secrecy performance of the considered
systems.Comment: 14 pages, to appear in the IEEE Transactions on Communication
Generalized ABBA Space-Time Block Codes
Linear space-time block codes (STBCs) of unitary rate and full diversity,
systematically constructed over arbitrary constellations for any number of
transmit antennas are introduced. The codes are obtained by generalizing the
existing ABBA STBCs, a.k.a quasi-orthogonal STBCs (QO-STBCs). Furthermore, a
fully orthogonal (symbol-by-symbol) decoder for the new generalized ABBA
(GABBA) codes is provided. This remarkably low-complexity decoder relies on
partition orthogonality properties of the code structure to decompose the
received signal vector into lower-dimension tuples, each dependent only on
certain subsets of the transmitted symbols. Orthogonal decodability results
from the nested application of this technique, with no matrix inversion or
iterative signal processing required. The exact bit-error-rate probability of
GABBA codes over generalized fading channels with maximum likelihood (ML)
decoding is evaluated analytically and compared against simulation results
obtained with the proposed orthogonal decoder. The comparison reveals that the
proposed GABBA solution, despite its very low complexity, achieves nearly the
same performance of the bound corresponding to the ML-decoded system,
especially in systems with large numbers of antennas.Comment: 47 pages, 6 figures, Matlab codes include
Ergodic Capacity of Composite Fading Channels in Cognitive Radios with the Product of - and - Variates
In this study, the product of two independent and non-identically distributed
(i.n.i.d.) random variables (RVs) for \k{appa}-{\mu} fading distribution and
{\alpha}-{\mu} fading distribution is considered. The method of the product
model of RVs has been widely applied in numerous of communications fields, such
as cascaded fading channels, multiple input multiple output (MIMO) systems,
radar communications and cognitive radio networks (CRs). The exact series
expressions of the product of two i.n.i.d. RVs X for \k{appa}-{\mu} variates
and Y for {\alpha}-{\mu} variates are derived instead of Fox H-function to
solve the problem that Fox H-function in the RVs product could not be
implemented in popular mathematical software packages as Mathematica and Maple.
Novel Exact close-form expressions of probability density function (PDF) and
cumulative distribution function (CDF) of proposed models are deduced to
present the series expressions of product and generalized composite multipath
shadowing models. Furthermore, novel exact expressions of the ergodic channel
capacity (ECC) are obtained under optimal rate adaptation with constant
transmit power (ORA). At last, these analytical results are confirmed with
monte-carlo simulations to evaluate spectrum efficiency over generalized
composite shadowing fading scenarios in CRs
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