Active Constellation Extension for Peak Power Reduction Based on Positive and Negative Iterations in OFDM Systems

Traditional active constellation extension (ACE) techniques iterate under a further and further away from decision boundary constraint to find distortions for peak-to-average power ratio (PAPR) reduction, which may stop the solution on suboptimal points because it's not permitted to go back when running into a suboptimum direction. In this paper, we present a novel ACE technique by iterating in both positive and negative directions, referring to distortions found in the last iteration. During iterations, optimization variations are changed from normally used extra distortions on the last estimates to the primitive OFDM signal, which can eliminate correlations between magnitudes and phases of complex distortions and finally give an analytic solution based on orthogonal projection. By making iterations run in positive and negative directions, this algorithm can find distortions to reduce PAPR more, compared with existing methods. Simulation results show that significant improvement can be achieved either for pure ACE or TR assisted ACE method, especially under higher-order modulation schemes

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

PAPR reduction in multicarrier modulation techniques based visible light communication systems

Visible light communication (VLC) is an optical wireless communication (OWC) technology that has the potential to provide high data rate transmission for indoor applications. VLC is a promising alternative technology with a large and unlicensed spectrum to complement the congested radio frequency (RF) based communication in order to meet the exponential growth and popularity of smart devices, data intensive services and applications. The use of low-cost commercially available front-end devices further highlights the attraction of VLC system. However, nonlinear dynamic range of front-end devices and optical channel impairments limit full exploitation of VLC available modulation bandwidth. To fully benefit from the inherent resources and mitigate these limitations, multicarrier modulation (MCM) techniques are adopted. However, these techniques are affected by high peak-to-average power ratio (PAPR) which imposes constraints on the limited dynamic range of the front-end devices and the average radiated optical power. The main focus throughout this thesis is to reduce the high PAPR of MCM modulation techniques-based VLC system by implementing pilot-assisted (PA) technique. Additionally, performance of PAPR reduced modulation techniques is investigated through analytical, simulation, and experimentally. This thesis first presents background of VLC system principles including the front-end devices, VLC channel, system impairments and challenges, and employed solutions. The principles, limitations, and performance of MCM modulation variants that are implemented in this work are presented. Moreover, principles of PAPR challenge in MCM based VLC, PAPR evaluation, impact on the transmitted signal as well as the existing PAPR reduction techniques are discussed. Looking at the gap, a PA is implemented as PAPR reduction technique which is presented in this work including its implementation and performance. Following that, multiple experimental studies on PAPR reduction of PA technique are presented. Two experimental demonstrations on the efficacy of PA PAPR reduction for PAM-DMT and DCO-OFDM based VLC using a single blue LED are presented. These studies are comparing the bit-error-rate (BER) performance of the proposed systems with conventional counterparts over a range of sampling rate. This shows that, the proposed systems perform better than conventional systems without PAPR reduction. The results are validated through simulation. Other two experimental studies on the previous systems with parameters optimisation and available modulation bandwidth utilisation are presented, which show that the proposed systems outperform the conventional systems in terms of BER. This is followed by investigating the PA PAPR reduction effect on the achievable data rate of a wavelength division multiplexing (WDM) based VLC system using three different LEDs for PAPR reduced DCO-OFDM and PAM-DMT systems. The proposed systems have achieved more than 8% data rate higher than that of conventional systems without BER performance degradation. Finally, analytical investigation of clipping noise that leads to distortion in a VLC system due to front-end devices limitations is presented. To mitigate the clipping noise, PAPR of the system is reduced by the PA technique. The analytical BER performance of the system with PAPR reduction is verified through simulation and then compared to that of the conventional system without PAPR reduction at similar clipping levels. The PA proposed system shows better BER performance at all clipping levels

PAPR reduction in FBMC using an ACE-based linear programming optimization

This paper presents four novel techniques for peak-to-average power ratio (PAPR) reduction in filter bank multicarrier (FBMC) modulation systems. The approach extends on current PAPR reduction active constellation extension (ACE) methods, as used in orthogonal frequency division multiplexing (OFDM), to an FBMC implementation as the main contribution. The four techniques introduced can be split up into two: linear programming optimization ACE-based techniques and smart gradient-project (SGP) ACE techniques. The linear programming (LP)-based techniques compensate for the symbol overlaps by utilizing a frame-based approach and provide a theoretical upper bound on achievable performance for the overlapping ACE techniques. The overlapping ACE techniques on the other hand can handle symbol by symbol processing. Furthermore, as a result of FBMC properties, the proposed techniques do not require side information transmission. The PAPR performance of the techniques is shown to match, or in some cases improve, on current PAPR techniques for FBMC. Initial analysis of the computational complexity of the SGP techniques indicates that the complexity issues with PAPR reduction in FBMC implementations can be addressed. The out-of-band interference introduced by the techniques is investigated. As a result, it is shown that the interference can be compensated for, whilst still maintaining decent PAPR performance. Additional results are also provided by means of a study of the PAPR reduction of the proposed techniques at a fixed clipping probability. The bit error rate (BER) degradation is investigated to ensure that the trade-off in terms of BER degradation is not too severe. As illustrated by exhaustive simulations, the SGP ACE-based technique proposed are ideal candidates for practical implementation in systems employing the low-complexity polyphase implementation of FBMC modulators. The methods are shown to offer significant PAPR reduction and increase the feasibility of FBMC as a replacement modulation system for OFDM.http://asp.eurasipjournals.com/hb201

Receiver design for nonlinearly distorted OFDM : signals applications in radio-over-fiber systems

Tese de doutoramento. Engenharia Electrotécnica e de Computadores. Universidade do Porto. Faculdade de Engenharia. 201

Spectrum Adaptation in Cognitive Radio Systems with Operating Constraints

The explosion of high-data-rate-demanding wireless applications such as smart-phones and wireless Internet access devices, together with growth of existing wireless services, are creating a shortage of the scarce Radio Frequency (RF) spectrum. However, several spectrum measurement campaigns revealed that current spectrum usage across time and frequency is inefficient, creating the artificial shortage of the spectrum because of the traditional exclusive command-and-control model of using the spectrum. Therefore, a new concept of Cognitive Radio (CR) has been emerging recently in which unlicensed users temporarily borrow spectrum from the licensed Primary Users (PU) based on the Dynamic Spectrum Access (DSA) technique that is also known as the spectrum sharing concept. A CR is an intelligent radio system based on the Software Defined Radio platform with artificial intelligence capability which can learn, adapt, and reconfigure through interaction with the operating environment. A CR system will revolutionize the way people share the RF spectrum, lowering harmful interference to the licensed PU of the spectrum, fostering innovative DSA technology and giving people more choices when it comes to using the wireless-communication-dependent applications without having any spectrum congestion problems. A key technical challenge for enabling secondary access to the licensed spectrum adaptation is to ensure that the CR does not interfere with the licensed incumbent users. However, incumbent user behavior is dynamic and requires CR systems to adapt this behavior in order to maintain smooth information transmission. In this context, the objective of this dissertation is to explore design issues for CR systems focusing on adaptation of physical layer parameters related to spectrum sensing, spectrum shaping, and rate/power control. Specifically, this dissertation discusses dynamic threshold adaptation for energy detector spectrum sensing, spectrum allocation and power control in Orthogonal Frequency Division Multiplexing-(OFDM-)based CR with operating constraints, and adjacent band interference suppression techniques in turbo-coded OFDM-based CR systems

Interference Mitigation in WAIC Systems

Advancements in the field of wireless communications in the last few decades have made it an indispensable part of how human made entities, and by extension, humans interact with each other. The inherent lack of the need for significant physical infrastructure brings with it great advantages in terms of mobility, operational and maintenance costs, and overall reliability and flexibility. The characteristics of wireless techniques make for an attractive proposition for enabling operational communications in aircrafts. However, wireless networks bring with them their own set of challenges in terms of range, dependability or susceptibility to interference and security. The main objective of this thesis is to evaluate different wireless communications techniques for their feasibility to be employed as Wireless Avionics Intra-Communications (WAIC) systems. The major hindrance in ensuring reliable communications in this regard comes from the operation of the existing Radio Altimeter systems in the allotted frequency band of 4.2 - 4.4 GHz. WAIC systems based on wireless techniques such as Code Division Multiple Access (CDMA) and Orthogonal Frequency Division Multiplexing (OFDM) have been simulated in MATLAB for the analysis. The performance of the WAIC systems in the presence of interference from Altimeter signals and Additive White Gaussian Noise (AWGN) has been evaluated and studied

Applications of Lattice Codes in Communication Systems

In the last decade, there has been an explosive growth in different applications of wireless technology, due to users' increasing expectations for multi-media services. With the current trend, the present systems will not be able to handle the required data traffic. Lattice codes have attracted considerable attention in recent years, because they provide high data rate constellations. In this thesis, the applications of implementing lattice codes in different communication systems are investigated. The thesis is divided into two major parts. Focus of the first part is on constellation shaping and the problem of lattice labeling. The second part is devoted to the lattice decoding problem. In constellation shaping technique, conventional constellations are replaced by lattice codes that satisfy some geometrical properties. However, a simple algorithm, called lattice labeling, is required to map the input data to the lattice code points. In the first part of this thesis, the application of lattice codes for constellation shaping in Orthogonal Frequency Division Multiplexing (OFDM) and Multi-Input Multi-Output (MIMO) broadcast systems are considered. In an OFDM system a lattice code with low Peak to Average Power Ratio (PAPR) is desired. Here, a new lattice code with considerable PAPR reduction for OFDM systems is proposed. Due to the recursive structure of this lattice code, a simple lattice labeling method based on Smith normal decomposition of an integer matrix is obtained. A selective mapping method in conjunction with the proposed lattice code is also presented to further reduce the PAPR. MIMO broadcast systems are also considered in the thesis. In a multiple antenna broadcast system, the lattice labeling algorithm should be such that different users can decode their data independently. Moreover, the implemented lattice code should result in a low average transmit energy. Here, a selective mapping technique provides such a lattice code. Lattice decoding is the focus of the second part of the thesis, which concerns the operation of finding the closest point of the lattice code to any point in N-dimensional real space. In digital communication applications, this problem is known as the integer least-square problem, which can be seen in many areas, e.g. the detection of symbols transmitted over the multiple antenna wireless channel, the multiuser detection problem in Code Division Multiple Access (CDMA) systems, and the simultaneous detection of multiple users in a Digital Subscriber Line (DSL) system affected by crosstalk. Here, an efficient lattice decoding algorithm based on using Semi-Definite Programming (SDP) is introduced. The proposed algorithm is capable of handling any form of lattice constellation for an arbitrary labeling of points. In the proposed methods, the distance minimization problem is expressed in terms of a binary quadratic minimization problem, which is solved by introducing several matrix and vector lifting SDP relaxation models. The new SDP models provide a wealth of trade-off between the complexity and the performance of the decoding problem