31 research outputs found

    Convergence Analysis of BNC Turbo Detection for Clipped OFDM Signalling

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    Abstract-All communication systems in which Orthogonal Frequency Division Multiplexing (OFDM) is applied suffer from a well-known problem: the high Peak-to-Average Power Ratio (PAPR) of the time domain OFDM signal. From many PAPR reduction techniques clipping is one of the simplest: although the PAPR can be easily limited, it also introduces strong nonlinearities, reducing the bit error performance of the system unless it is not compensated at the receiver. In this paper we will investigate one of the receiver oriented iterative (turbo) clipping mitigation methods, the so-called Bussgang Noise Cancellation (BNC). We show that with small modifications to this algorithm, the performance of the system can be further improved

    Equation-Method for correcting clipping errors in OFDM signals

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    Orthogonal frequency division multiplexing (OFDM) is the digital modulation technique used by 4G and many other wireless communication systems. OFDM signals have significant amplitude fluctuations resulting in high peak to average power ratios which can make an OFDM transmitter susceptible to non-linear distortion produced by its high power amplifiers (HPA). A simple and popular solution to this problem is to clip the peaks before an OFDM signal is applied to the HPA but this causes in-band distortion and introduces bit-errors at the receiver. In this paper we discuss a novel technique, which we call the Equation-Method, for correcting these errors. The Equation-Method uses the Fast Fourier Transform to create a set of simultaneous equations which, when solved, return the amplitudes of the peaks before they were clipped. We show analytically and through simulations that this method can, correct all clipping errors over a wide range of clipping thresholds. We show that numerical instability can be avoided and new techniques are needed to enable the receiver to differentiate between correctly and incorrectly received frequency-domain constellation symbols

    Adjustable dynamic range for paper reduction schemes in large-scale MIMO-OFDM systems

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    In a multi-input-multi-output (MIMO) communication system there is a necessity to limit the power that the output antenna amplifiers can deliver. Their signal is a combination of many independent channels, so the demanded amplitude can peak to many times the average value. The orthogonal frequency division multiplexing (OFDM) system causes high peak signals to occur because many subcarrier components are added by an inverse discrete Fourier transformation process at the base station. This causes out-of-band spectral regrowth. If simple clipping of the input signal is used, there will be in-band distortions in the transmitted signals and the bit error rate will increase substantially. This work presents a novel technique that reduces the peak-to-average power ratio (PAPR). It is a combination of two main stages, a variable clipping level and an Adaptive Optimizer that takes advantage of the channel state information sent from all users in the cell. Simulation results show that the proposed method achieves a better overall system performance than that of conventional peak reduction systems in terms of the symbol error rate. As a result, the linear output of the power amplifiers can be minimized with a great saving in cost

    Performance Comparison of Single-Sideband Direct Detection Nyquist-Subcarrier Modulation and OFDM

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    Direct detection transceivers offer advantages, including low cost and complexity, in short- and medium-haul links. We carried out studies seeking to identify the signal formats which offer the highest information spectral densities and maximum transmission distances for direct detection links. The performance of two spectrally efficient optical signal formats, single-sideband (SSB) Nyquist pulse-shaped subcarrier modulation (SCM) and SSB orthogonal frequency-division multiplexing (OFDM), are compared by means of simulations. The comparison is performed for a range of wavelength-division multiplexing (WDM) net information spectral densities up to 2.0 b/s/Hz by varying the signal bandwidth, modulation cardinality, and WDM channel spacing. The signal formats' tolerance to signal-signal beating interference, resulting from square-law detection, is investigated, and the Nyquist-SCM format is found to suffer lower penalties from this nonlinearity at high information spectral densities. In 7 × 28 Gb/s WDM transmission at 2.0 b/s/Hz (with electronic predistortion and EDFA-only amplification), Nyquist-SCM signals can be transmitted over distances of up to 720 km of standard SMF in comparison to a maximum of 320 km with the OFDM signal format

    EpÀlineaarinen vÀÀristymÀ laajakaistaisissa analogia-digitaalimuuntimissa

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    This thesis discusses nonlinearities of analog-to-digital converters (ADCs) and their mitigation using digital signal processing (DSP). Particularly wideband radio receivers are considered here including, e.g., the emerging cognitive radio applications. In this kind of receivers, a single ADC converts a mixture of signals at different frequency bands to digital domain simultaneously. Different signals may have considerably different power levels and hence the overall dynamic range can be very large (even 50–60 dB). Therefore, even the smallest ADC nonlinearities can produce considerable amount of nonlinear distortion, which may cause a strong signal to block significantly weaker signal bands. One concrete source of nonlinear distortion is waveform clipping due to improper signal conditioning in the input of an ADC. In the thesis, a mathematical model for this phenomenon is derived through Fourier analysis and is then used as a basis for an adaptive interference cancellation (AIC) method. This is a general method for reducing nonlinear distortion and besides clipping it can be used, e.g., to compensate integral nonlinearity (INL) originating from unintentional deviations of the quantization levels. Additionally, an interpolation method is proposed in this thesis to restore clipped waveforms and hence reduce nonlinear distortion. Through several computer simulations and corresponding laboratory radio signal measurements, the performance of the proposed post-processing methods is illustrated. It can be seen from the results that the methods are able to reduce nonlinear distortion from a weak signal band in a considerable manner when there are strong blocking signals in the neighboring channels. According to the results, the AIC method would be a highly recommendable post-processing technique for modern radio receivers due to its general ability to reduce nonlinear distortion regardless of its source. /Kir10TĂ€ssĂ€ työssĂ€ kĂ€sitellÀÀn analogia-digitaalimuuntimien (AD-muuntimien) epĂ€lineaarisuuksia ja niiden lieventĂ€mistĂ€ digitaalisen signaalinkĂ€sittelyn (DSP) avulla. TĂ€tĂ€ on tarkasteltu erityisesti laajakaistaisten radiovastaanottimien nĂ€kökulmasta, joka kĂ€sittÀÀ mm. tulevat kognitiiviseen radioon liittyvĂ€t sovellukset. TĂ€llaisissa vastaanottimissa yksittĂ€inen AD-muunnin muuntaa samanaikaisesti useita eri taajuuskaistoilla olevia signaaleita digitaaliseen muotoon, jolloin yhteenlaskettu dynaaminen alue voi olla hyvin suuri (jopa 50–60 dB). TĂ€mĂ€n takia AD-muuntimen pienimmĂ€tkin epĂ€lineaarisuudet voivat aiheuttaa huomattavasti epĂ€lineaarista vÀÀristymÀÀ, minkĂ€ vuoksi voimakas signaali saattaa hĂ€iriöllÀÀn peittÀÀ muilla taajuuskaistoilla olevia selkeĂ€sti heikompia signaaleja. ErĂ€s konkreettinen epĂ€lineaarisen vÀÀristymĂ€n aiheuttaja on aaltomuodon leikkaantuminen AD-muuntimen sisÀÀnmenossa jĂ€nnitealueen ylittymisen vuoksi. TĂ€ssĂ€ työssĂ€ johdetaan matemaattinen malli kyseiselle ilmiölle Fourier-analyysin avulla ja kĂ€ytetÀÀn sitĂ€ lĂ€htökohtana adaptiiviselle hĂ€iriönpoistomenetelmĂ€lle (AIC-menetelmĂ€). Se on yleisluonteinen menetelmĂ€ epĂ€lineaarisen vÀÀristymĂ€n vĂ€hentĂ€miseksi, ja leikkaantumisen lisĂ€ksi sitĂ€ voidaan kĂ€yttÀÀ esimerkiksi kompensoimaan integraalista epĂ€lineaarisuutta (INL), joka on perĂ€isin kvantisointitasojen tahattomista poikkeamista. LisĂ€ksi tĂ€ssĂ€ työssĂ€ esitellÀÀn interpolointimenetelmĂ€ leikkaantuneen aaltomuodon ehostamiseen siten, ettĂ€ epĂ€lineaarinen hĂ€iriö vĂ€henee. Esiteltyjen jĂ€lkikĂ€sittelymenetelmien suorituskykyĂ€ analysoidaan ja havainnollistetaan useilla tietokonesimulaatiolla sekĂ€ niitĂ€ vastaavilla radiosignaalien laboratoriomittauksilla. Tuloksista voidaan nĂ€hdĂ€, ettĂ€ nĂ€mĂ€ menetelmĂ€t kykenevĂ€t poistamaan huomattavasti epĂ€lineaarista vÀÀristymÀÀ heikolta signaalikaistalta silloin, kun naapurikaistoilla on voimakkaita hĂ€iriösignaaleja. Tulosten perusteella AIC-menetelmĂ€ olisi erittĂ€in suositeltava jĂ€lkikĂ€sittelytekniikka moderneihin radiovastaanottimiin, koska se pystyy yleisesti vĂ€hentĂ€mÀÀn epĂ€lineaarista vÀÀristymÀÀ riippumatta hĂ€iriön alkuperĂ€stĂ€

    Visible Light Communication (VLC)

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    Visible light communication (VLC) using light-emitting diodes (LEDs) or laser diodes (LDs) has been envisioned as one of the key enabling technologies for 6G and Internet of Things (IoT) systems, owing to its appealing advantages, including abundant and unregulated spectrum resources, no electromagnetic interference (EMI) radiation and high security. However, despite its many advantages, VLC faces several technical challenges, such as the limited bandwidth and severe nonlinearity of opto-electronic devices, link blockage and user mobility. Therefore, significant efforts are needed from the global VLC community to develop VLC technology further. This Special Issue, “Visible Light Communication (VLC)”, provides an opportunity for global researchers to share their new ideas and cutting-edge techniques to address the above-mentioned challenges. The 16 papers published in this Special Issue represent the fascinating progress of VLC in various contexts, including general indoor and underwater scenarios, and the emerging application of machine learning/artificial intelligence (ML/AI) techniques in VLC

    Cost-Effective Spectrally-Efficient Optical Transceiver Architectures for Metropolitan and Regional Links

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    The work presented herein explores cost-effective optical transceiver architectures for access, metropolitan and regional links. The primary requirement in such links is cost-effectiveness and secondly, spectral efficiency. The bandwidth/data demand is driven by data-intensive Internet applications, such as cloud-based services and video-on-demand, and is rapidly increasing in access and metro links. Therefore, cost-effective optical transceiver architectures offering high information spectral densities (ISDs > 1(b/s)/Hz) need to be implemented over metropolitan distances. Then, a key question for each link length and application is whether coherent- or direct (non-coherent) detection technology offers the best cost and performance trade-off. The performance and complexity limits of both technologies have been studied. Single polarization direct detection transceivers have been reviewed, focusing on their achievable ISDs and reach. It is concluded that subcarrier modulation (SCM) technique combined with single sideband (SSB) and high-order quadrature amplitude modulation (QAM) signaling, enabled by digital signal processing (DSP) based optical transceivers, must be implemented in order to exceed an ISD of 1 (b/s)/Hz in direct-detection links. The complexity can be shifted from the optical to the electrical domain using such transceivers, and hence, the cost can be minimized. In this regard, a detailed performance comparison of two spectrally-efficient direct detection SCM techniques, namely Nyquist-SCM and OFDM, is presented by means of simulations. It is found out that Nyquist-SCM format offers the transmission distances more than double that of OFDM due to its higher resilience to signal-signal beating interference. Following this, dispersion-precompensated SSB 4- and 16-QAM Nyquist-SCM signal formats were experimentally demonstrated using in-phase and quadrature (IQ)-modulators at net optical ISDs of 1.2 and 2 (b/s)/Hz over 800 km and 323 km of standard single-mode fibre (SSMF), respectively. These demonstrations represent record net optical ISDs over such distances among the reported single polarization wavelength division multiplexed (WDM) systems. Furthermore, since the cost-effectiveness is crucial, the optical complexity of Nyquist-SCM transmitters can be significantly reduced by using low-cost modulators and high-linewidth lasers. A comprehensive theoretical study on SSB signal generation using IQ- and dual-drive Mach-Zehnder modulators (DD-MZMs) was carried out to assess their performance for WDM direct detection links. This was followed by an experimental demonstration of WDM transmission over 242 km of SSMF with a net optical ISD of 1.5 (b/s)/Hz, the highest achieved ISD using a DD-MZM-based transmitter. Following the assessment of direct detection technology using various transmitter designs, cost-effective simplified coherent receiver architectures for access and metro networks have been investigated. The optical complexity of the conventional (polarization- and phase-diverse) coherent receiver is significantly simplified, i.e., consisting of a single 3 dB coupler and balanced photodetector, utilizing heterodyne reception and Alamouti polarization-time block coding. Although the achievable net optical ISD is halved compared to a conventional coherent receiver due to Alamouti coding, its receiver sensitivity provides significant gain over a direct detection receiver at M-ary QAM formats where M ≄16
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