1,336 research outputs found
Power Allocation for Adaptive OFDM Index Modulation in Cooperative Networks
In this paper, we propose a power allocation strategy for the adaptive
orthogonal frequency-division multiplexing (OFDM) index modulation (IM) in
cooperative networks. The allocation strategy is based on the
Karush-Kuhn-Tucker (KKT) conditions, and aims at maximizing the average network
capacity according to the instantaneous channel state information (CSI). As the
transmit power at source and relay is constrained separately, we can thus
formulate an optimization problem by allocating power to active subcarriers.
Compared to the conventional uniform power allocation strategy, the proposed
dynamic strategy can lead to a higher average network capacity, especially in
the low signal-to-noise ratio (SNR) region. The analysis is also verified by
numerical results produced by Monte Carlo simulations. By applying the proposed
power allocation strategy, the efficiency of adaptive OFDM IM can be enhanced
in practice, which paves the way for its implementation in the future,
especially for cell-edge communications
Efficient Detectors for MIMO-OFDM Systems under Spatial Correlation Antenna Arrays
This work analyzes the performance of the implementable detectors for
multiple-input-multiple-output (MIMO) orthogonal frequency division
multiplexing (OFDM) technique under specific and realistic operation system
condi- tions, including antenna correlation and array configuration.
Time-domain channel model has been used to evaluate the system performance
under realistic communication channel and system scenarios, including different
channel correlation, modulation order and antenna arrays configurations. A
bunch of MIMO-OFDM detectors were analyzed for the purpose of achieve high
performance combined with high capacity systems and manageable computational
complexity. Numerical Monte-Carlo simulations (MCS) demonstrate the channel
selectivity effect, while the impact of the number of antennas, adoption of
linear against heuristic-based detection schemes, and the spatial correlation
effect under linear and planar antenna arrays are analyzed in the MIMO-OFDM
context.Comment: 26 pgs, 16 figures and 5 table
A survey on fiber nonlinearity compensation for 400 Gbps and beyond optical communication systems
Optical communication systems represent the backbone of modern communication
networks. Since their deployment, different fiber technologies have been used
to deal with optical fiber impairments such as dispersion-shifted fibers and
dispersion-compensation fibers. In recent years, thanks to the introduction of
coherent detection based systems, fiber impairments can be mitigated using
digital signal processing (DSP) algorithms. Coherent systems are used in the
current 100 Gbps wavelength-division multiplexing (WDM) standard technology.
They allow the increase of spectral efficiency by using multi-level modulation
formats, and are combined with DSP techniques to combat the linear fiber
distortions. In addition to linear impairments, the next generation 400 Gbps/1
Tbps WDM systems are also more affected by the fiber nonlinearity due to the
Kerr effect. At high input power, the fiber nonlinear effects become more
important and their compensation is required to improve the transmission
performance. Several approaches have been proposed to deal with the fiber
nonlinearity. In this paper, after a brief description of the Kerr-induced
nonlinear effects, a survey on the fiber nonlinearity compensation (NLC)
techniques is provided. We focus on the well-known NLC techniques and discuss
their performance, as well as their implementation and complexity. An extension
of the inter-subcarrier nonlinear interference canceler approach is also
proposed. A performance evaluation of the well-known NLC techniques and the
proposed approach is provided in the context of Nyquist and super-Nyquist
superchannel systems.Comment: Accepted in the IEEE Communications Surveys and Tutorial
Adaptive OFDM Index Modulation for Two-Hop Relay-Assisted Networks
In this paper, we propose an adaptive orthogonal frequency-division
multiplexing (OFDM) index modulation (IM) scheme for two-hop relay networks. In
contrast to the traditional OFDM IM scheme with a deterministic and fixed
mapping scheme, in this proposed adaptive OFDM IM scheme, the mapping schemes
between a bit stream and indices of active subcarriers for the first and second
hops are adaptively selected by a certain criterion. As a result, the active
subcarriers for the same bit stream in the first and second hops can be varied
in order to combat slow frequency-selective fading. In this way, the system
reliability can be enhanced. Additionally, considering the fact that a relay
device is normally a simple node, which may not always be able to perform
mapping scheme selection due to limited processing capability, we also propose
an alternative adaptive methodology in which the mapping scheme selection is
only performed at the source and the relay will simply utilize the selected
mapping scheme without changing it. The analyses of average outage probability,
network capacity and symbol error rate (SER) are given in closed form for
decode-and-forward (DF) relaying networks and are substantiated by numerical
results generated by Monte Carlo simulations.Comment: 30 page
Power minimization for OFDM Transmission with Subcarrier-pair based Opportunistic DF Relaying
This paper develops a sum-power minimized resource allocation (RA) algorithm
subject to a sum-rate constraint for cooperative orthogonal frequency division
modulation (OFDM) transmission with subcarrier-pair based opportunistic
decode-and-forward (DF) relaying. The improved DF protocol first proposed in
[1] is used with optimized subcarrier pairing. Instrumental to the RA algorithm
design is appropriate definition of variables to represent source/relay power
allocation, subcarrier pairing and transmission-mode selection elegantly, so
that after continuous relaxation, the dual method and the Hungarian algorithm
can be used to find an (at least approximately) optimum RA with polynomial
complexity. Moreover, the bisection method is used to speed up the search of
the optimum Lagrange multiplier for the dual method. Numerical results are
shown to illustrate the power-reduction benefit of the improved DF protocol
with optimized subcarrier pairing.Comment: 4 pages, accepted by IEEE Communications Letter
Sum Rate Maximized Resource Allocation in Multiple DF Relays Aided OFDM Transmission
In relay-aided wireless transmission systems, one of the key issues is how to
decide assisting relays and manage the energy resource at the source and each
individual relay, to maximize a certain objective related to system
performance. This paper addresses the sum rate maximized resource allocation
(RA) problem in a point to point orthogonal frequency division modulation
(OFDM) transmission system assisted by multiple decode-and-forward (DF) relays,
subject to the individual sum power constraints of the source and the relays.
In particular, the transmission at each subcarrier can be in either the direct
mode without any relay assisting, or the relay-aided mode with one or several
relays assisting. We propose two RA algorithms which optimize the assignment of
transmission mode and source power for every subcarrier, as well as the
assisting relays and the power allocation to them for every {relay-aided}
subcarrier. First, it is shown that the considered RA problem has zero
Lagrangian duality gap when there is a big number of subcarriers. In this case,
a duality based algorithm that finds a globally optimum RA is developed.
Second, a coordinate-ascent based iterative algorithm, which finds a suboptimum
RA but is always applicable regardless of the duality gap of the RA problem, is
developed. The effectiveness of these algorithms has been illustrated by
numerical experiments.Comment: 13 pages in two-column format, 10 figures, to appear in IEEE Journal
on Selected Areas in Communication
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