579 research outputs found
Flexible Multi-Group Single-Carrier Modulation: Optimal Subcarrier Grouping and Rate Maximization
Orthogonal frequency division multiplexing (OFDM) and single-carrier
frequency domain equalization (SC-FDE) are two commonly adopted modulation
schemes for frequency-selective channels. Compared to SC-FDE, OFDM generally
achieves higher data rate, but at the cost of higher transmit signal
peak-to-average power ratio (PAPR) that leads to lower power amplifier
efficiency. This paper proposes a new modulation scheme, called flexible
multi-group single-carrier (FMG-SC), which encapsulates both OFDM and SC-FDE as
special cases, thus achieving more flexible rate-PAPR trade-offs between them.
Specifically, a set of frequency subcarriers are flexibly divided into
orthogonal groups based on their channel gains, and SC-FDE is applied over each
of the groups to send different data streams in parallel. We aim to maximize
the achievable sum-rate of all groups by optimizing the subcarrier-group
mapping. We propose two low-complexity subcarrier grouping methods and show via
simulation that they perform very close to the optimal grouping by exhaustive
search. Simulation results also show the effectiveness of the proposed FMG-SC
modulation scheme with optimized subcarrier grouping in improving the rate-PAPR
trade-off over conventional OFDM and SC-FDE.Comment: Submitted for possible conference publicatio
Frequency-Selective PAPR Reduction for OFDM
We study the peak-to-average power ratio (PAPR) problem in orthogonal
frequency-division multiplexing (OFDM) systems. In conventional clipping and
filtering based PAPR reduction techniques, clipping noise is allowed to spread
over the whole active passband, thus degrading the transmit signal quality
similarly at all active subcarriers. However, since modern radio networks
support frequency-multiplexing of users and services with highly different
quality-of-service expectations, clipping noise from PAPR reduction should be
distributed unequally over the corresponding physical resource blocks (PRBs).
To facilitate this, we present an efficient PAPR reduction technique, where
clipping noise can be flexibly controlled and filtered inside the transmitter
passband, allowing to control the transmitted signal quality per PRB. Numerical
results are provided in 5G New Radio (NR) mobile network context, demonstrating
the flexibility and efficiency of the proposed method.Comment: Accepted for publication as a Correspondence in the IEEE Transactions
on Vehicular Technology in March 2019. This is the revised version of
original manuscript, and it is in press at the momen
A Low-Complexity SLM PAPR Reduction Scheme for OFDMA
In orthogonal frequency division multiplexing (OFDM) systems, selected mapping (SLM) techniques are widely used to minimize the peak to average power ratio (PAPR). The candidate signals are generated in the time domain by linearly mixing the original time-domain transmitted signal with numerous cyclic shift equivalents to reduce the amount of Inverse Fast Fourier Transform (IFFT) operations in typical SLM systems. The weighting factors and number of cyclic shifts, on the other hand, should be carefully chosen to guarantee that the elements of the appropriate frequency domain phase rotation vectors are of equal magnitude. A low-complexity expression is chosen from among these options to create the proposed low-complexity scheme, which only requires one IFFT. In comparison to the existing SLM technique, the new SLM scheme achieves equivalent PAPR reduction performance with significantly less computing complexity. MATLAB tool is used for simulating the proposed work
A Low-Complexity SLM PAPR Reduction Scheme for OFDMA
In orthogonal frequency division multiplexing (OFDM) systems, selected mapping (SLM) techniques are widely used to minimize the peak to average power ratio (PAPR). The candidate signals are generated in the time domain by linearly mixing the original time-domain transmitted signal with numerous cyclic shift equivalents to reduce the amount of Inverse Fast Fourier Transform (IFFT) operations in typical SLM systems. The weighting factors and number of cyclic shifts, on the other hand, should be carefully chosen to guarantee that the elements of the appropriate frequency domain phase rotation vectors are of equal magnitude. A low-complexity expression is chosen from among these options to create the proposed low-complexity scheme, which only requires one IFFT. In comparison to the existing SLM technique, the new SLM scheme achieves equivalent PAPR reduction performance with significantly less computing complexity. MATLAB tool is used for simulating the proposed work
Peak-to-Average Power Ratio Reduction of DOCSIS 3.1 Downstream Signals
Tone reservation (TR) is an attractive and widely used method for peak-to-average power ratio (PAPR) reduction of orthogonal frequency division multiplexing (OFDM) signals, where both transmitter and receiver agree upon a number of subcarriers or tones to be reserved to generate a peak canceling signal that can reduce the peak power of the transmitted signals. The tones are selected to be mutually exclusive with the tones used for data transmission, which allows the receiver to extract the data symbols without distortions.
This thesis presents two novel PAPR reduction algorithms for OFDM signals based on the TR principle, which do not distort the transmitted signals. The first proposed algorithm is performed in the time domain, whereas the second algorithm is a new clipping-and-filtering method. Both algorithms consist of two stages. The first stage, which is done off-line, creates a set of canceling signals based on the settings of the OFDM system. In particular, these signals are constructed to cancel signals at different levels of maximum instantaneous power that are above a predefined threshold. The second stage, which is online and iterative, reduces the signal peaks by using the canceling signals constructed in the first stage. The precalculated canceling signals can be updated when different tone sets are selected for data transmission, accommodating many practical applications. Simulation results show that the proposed algorithms achieve slightly better PAPR reduction performance than the conventional algorithms. Moreover, such performance is achieved with much lower computational complexity in terms of numbers of multiplications and additions per iteration. Among the two proposed algorithms, the time-domain algorithm gives the best peak reduction performance but the clipping-and-filtering algorithm requires considerably less number of multiplications per iteration and can be efficiently implemented using the fast Fourier transform (FFT)/inverse fast Fourier transform (IFFT) structure
Digital signal processing techniques for peak-to-average power ratio mitigation in MIMO–OFDM systems
The focus of this thesis is to mitigate the very large peak-to-average
transmit power ratios (PAPRs) inherent to conventional orthogonal
frequency division multiplexing (OFDM) systems, particularly in the
context of transmission over multi-input multi-output (MIMO) wireless
broadband channels. This problem is important as a large PAPR
generally needs an expensive radio frequency (RF) power amplifier at
the transmitter due to the requirement for linear operation over a wide
amplitude range and such a cost would be compounded when multiple
transmit antennas are used. Advanced signal processing techniques
which can reduce PAPR whilst retain the integrity of digital transmission
therefore have considerable potential for application in emergent
MIMO–OFDM wireless systems and form the technical contributions
of this study. [Continues.
A Novel PAPR Reduction in Filter Bank Multi-Carrier (FBMC) with Offset Quadrature Amplitude Modulation (OQAM) Based VLC Systems
The peak to average power ratio (PAPR) is one of the major problem with multicarrier-based systems. Due to its improved spectral efficiency and decreased PAPR, Filter Bank Multicarrier (FBMC) has recently become an effective alternative to the orthogonal multiplexing division (OFDM). For filter bank multicarrier communication/offset quadrature amplitude modulation-Visible light communication (FBMC/OQAM-VLC) systems is proposed a PAPR reduction technique. The suggested approach overlaps the proposed FBMC/OQAM-based VLC data signal with the existing signals. Non-redundant signals and data signals do not overlap in the frequency domain because data signals are scattered on odd subcarriers whereas built signals use even subcarriers. To reduce the effects of large-amplitude signal reduction, the suggested technique converts negative signals into positive signals rather than clipping them off as in conventional FBMC-based VLC systems. The PAPR reduction and bit error rate (BER) are realized using a scaling factor in the transformed signals. Complementary cumulative distribution function(CCDF) and BER are used to calculate the performance of the proposed approach. The presented study found that FBMC/OQAM-VLC systems to achieve a good trade-off between PAPR reduction and BER
Constrained RS coding for Low Peak to Average Power Ratio in FBMC -- OQAM Systems
Multi-carrier modulation techniques have now become a standard in many
communication protocols. Filter bank based multi-carrier (FBMC) generation
techniques have been discussed in the literature as a means for overcoming the
shortcomings of IFFT/FFT based OFDM system. The Peak to Average Power Ratio
(PAPR) is a problem faced by all multi-carrier techniques. This paper discusses
the methods for reducing PAPR in a FBMC system while maintaining acceptable Bit
Error Rate (BER). A new PAPR minimizing scheme called Constrained Reed Solomon
(CRS) coding is proposed. The hybrid techniques using coding and companding are
tested for different channel models and is found to yield promising results.Comment: 6 pages,6 Figures, Journal of Electrical and Electronics Engineerin
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