465 research outputs found
Soft metrics and their Performance Analysis for Optimal Data Detection in the Presence of Strong Oscillator Phase Noise
In this paper, we address the classical problem of maximum-likelihood (ML)
detection of data in the presence of random phase noise. We consider a system,
where the random phase noise affecting the received signal is first compensated
by a tracker/estimator. Then the phase error and its statistics are used for
deriving the ML detector. Specifically, we derive an ML detector based on a
Gaussian assumption for the phase error probability density function (PDF).
Further without making any assumptions on the phase error PDF, we show that the
actual ML detector can be reformulated as a weighted sum of central moments of
the phase error PDF. We present a simple approximation of this new ML rule
assuming that the phase error distribution is unknown. The ML detectors derived
are also the aposteriori probabilities of the transmitted symbols, and are
referred to as soft metrics. Then, using the detector developed based on
Gaussian phase error assumption, we derive the symbol error probability (SEP)
performance and error floor analytically for arbitrary constellations. Finally
we compare SEP performance of the various detectors/metrics in this work and
those from literature for different signal constellations, phase noise
scenarios and SNR values
SCMA Codebook Design
Multicarrier CDMA is a multiple access scheme in which modulated QAM symbols
are spread over OFDMA tones by using a generally complex spreading sequence.
Effectively, a QAM symbol is repeated over multiple tones. Low density
signature (LDS) is a version of CDMA with low density spreading sequences
allowing us to take advantage of a near optimal message passing algorithm (MPA)
receiver with practically feasible complexity. Sparse code multiple access
(SCMA) is a multi-dimensional codebook-based non-orthogonal spreading
technique. In SCMA, the procedure of bit to QAM symbol mapping and spreading
are combined together and incoming bits are directly mapped to
multi-dimensional codewords of SCMA codebook sets. Each layer has its dedicated
codebook. Shaping gain of a multi-dimensional constellation is one of the main
sources of the performance improvement in comparison to the simple repetition
of QAM symbols in LDS. Meanwhile, like LDS, SCMA enjoys the low complexity
reception techniques due to the sparsity of SCMA codewords. In this paper a
systematic approach is proposed to design SCMA codebooks mainly based on the
design principles of lattice constellations. Simulation results are presented
to show the performance gain of SCMA compared to LDS and OFDMA.Comment: Accepted for IEEE VTC-fall 201
Ultra-Sparse Non-Binary LDPC Codes for Probabilistic Amplitude Shaping
This work shows how non-binary low-density parity-check codes over GF()
can be combined with probabilistic amplitude shaping (PAS) (B\"ocherer, et al.,
2015), which combines forward-error correction with non-uniform signaling for
power-efficient communication. Ultra-sparse low-density parity-check codes over
GF(64) and GF(256) gain 0.6 dB in power efficiency over state-of-the-art binary
LDPC codes at a spectral efficiency of 1.5 bits per channel use and a
blocklength of 576 bits. The simulation results are compared to finite length
coding bounds and complemented by density evolution analysis.Comment: Accepted for Globecom 201
A Multi-CAP Visible-Light Communications System With 4.85-b/s/Hz Spectral Efficiency
In this paper, we experimentally demonstrate a multiband carrierless amplitude and phase modulation format for the first time in VLC. We split a conventional carrierless amplitude and phase modulated signal into m subcarriers in order to protect from the attenuation experienced at high frequencies in low-pass VLC systems. We investigate the relationship between throughput/spectral efficiency and m, where m = {10, 8, 6, 4, 2, 1} subcarriers over a fixed total signal bandwidth of 6.5 MHz. We show that transmission speeds (spectral efficiencies) of 31.53 (4.85), 30.88 (4.75), 25.40 (3.90), 23.65 (3.60), 15.78 (2.40), and 9.04 (1.40) Mb/s (b/s/Hz) can be achieved for the listed values of m, respectively
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