524 research outputs found

    Near-Instantaneously Adaptive HSDPA-Style OFDM Versus MC-CDMA Transceivers for WIFI, WIMAX, and Next-Generation Cellular Systems

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    Burts-by-burst (BbB) adaptive high-speed downlink packet access (HSDPA) style multicarrier systems are reviewed, identifying their most critical design aspects. These systems exhibit numerous attractive features, rendering them eminently eligible for employment in next-generation wireless systems. It is argued that BbB-adaptive or symbol-by-symbol adaptive orthogonal frequency division multiplex (OFDM) modems counteract the near instantaneous channel quality variations and hence attain an increased throughput or robustness in comparison to their fixed-mode counterparts. Although they act quite differently, various diversity techniques, such as Rake receivers and space-time block coding (STBC) are also capable of mitigating the channel quality variations in their effort to reduce the bit error ratio (BER), provided that the individual antenna elements experience independent fading. By contrast, in the presence of correlated fading imposed by shadowing or time-variant multiuser interference, the benefits of space-time coding erode and it is unrealistic to expect that a fixed-mode space-time coded system remains capable of maintaining a near-constant BER

    SINR degradation in MIMO-OFDM systems with channel estimation errors and partial phase noise compensation

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    The phase noise effect in multiple-input-multipleoutput systems employing orthogonal frequency division multiplexing is considered in a realistic scenario where the estimated channel matrix is affected by an error. The analytical SINR degradation due to phase noise and channel estimation is obtained for linear receivers (ZF and MMSE)This work is partly funded by the projects "COMONSENS" CSD2008- 00010 and "MULTI-ADAPTIVE" TEC2008-06327-C03-02Publicad

    Indoor wireless communications and applications

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    Chapter 3 addresses challenges in radio link and system design in indoor scenarios. Given the fact that most human activities take place in indoor environments, the need for supporting ubiquitous indoor data connectivity and location/tracking service becomes even more important than in the previous decades. Specific technical challenges addressed in this section are(i), modelling complex indoor radio channels for effective antenna deployment, (ii), potential of millimeter-wave (mm-wave) radios for supporting higher data rates, and (iii), feasible indoor localisation and tracking techniques, which are summarised in three dedicated sections of this chapter

    Multiuser MIMO-OFDM for Next-Generation Wireless Systems

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    This overview portrays the 40-year evolution of orthogonal frequency division multiplexing (OFDM) research. The amelioration of powerful multicarrier OFDM arrangements with multiple-input multiple-output (MIMO) systems has numerous benefits, which are detailed in this treatise. We continue by highlighting the limitations of conventional detection and channel estimation techniques designed for multiuser MIMO OFDM systems in the so-called rank-deficient scenarios, where the number of users supported or the number of transmit antennas employed exceeds the number of receiver antennas. This is often encountered in practice, unless we limit the number of users granted access in the base station’s or radio port’s coverage area. Following a historical perspective on the associated design problems and their state-of-the-art solutions, the second half of this treatise details a range of classic multiuser detectors (MUDs) designed for MIMO-OFDM systems and characterizes their achievable performance. A further section aims for identifying novel cutting-edge genetic algorithm (GA)-aided detector solutions, which have found numerous applications in wireless communications in recent years. In an effort to stimulate the cross pollination of ideas across the machine learning, optimization, signal processing, and wireless communications research communities, we will review the broadly applicable principles of various GA-assisted optimization techniques, which were recently proposed also for employment inmultiuser MIMO OFDM. In order to stimulate new research, we demonstrate that the family of GA-aided MUDs is capable of achieving a near-optimum performance at the cost of a significantly lower computational complexity than that imposed by their optimum maximum-likelihood (ML) MUD aided counterparts. The paper is concluded by outlining a range of future research options that may find their way into next-generation wireless systems

    MIMO Transmission with Residual Transmit-RF Impairments

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    Physical transceiver implementations for multiple-input multiple-output (MIMO) wireless communication systems suffer from transmit-RF (Tx-RF) impairments. In this paper, we study the effect on channel capacity and error-rate performance of residual Tx-RF impairments that defy proper compensation. In particular, we demonstrate that such residual distortions severely degrade the performance of (near-)optimum MIMO detection algorithms. To mitigate this performance loss, we propose an efficient algorithm, which is based on an i.i.d. Gaussian model for the distortion caused by these impairments. In order to validate this model, we provide measurement results based on a 4-stream Tx-RF chain implementation for MIMO orthogonal frequency-division multiplexing (OFDM).Comment: to be presented at the International ITG Workshop on Smart Antennas - WSA 201

    Design and evaluation of OFDM radio interfaces for high mobility communications

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    [Resumo] Nas dúas últimas décadas, as modulacións multiportadora emerxeron como una solución de baixa complexidade para combatir os efectos do multitraxecto en comuniacións sen fíos. Entre elas, Orthogonal Frequency Division Multiplexing (OFOM) é posiblemente o esquema de modulación máis estudado, e tamén amplamente adoptado como alicerce de estándares da industria como WiMAX ou LTE. Sen embargo, OFDM é sensible a canles que varian ca tempo, unha característica dos escenarios con mobilidade, debido á aparición da interferencia entre portadoras (ICI). A implementación de equipamento hardware para o usuario final faise normalmente en chips dedicados, afnda que entornos de investigación, prefírense solucións máis flexibles. Unha aproximación popular é a coñecida como Software Defined Radio (SOR), onde os algoritmos de procesado de sinal se implementan en hardware reconfigurable como Digital Signal Processors (OSPs) e Field Programmable Gate Arrays (FPGAs). O obxectivo deste traballo é dobre. Por un lado, definir unha arquitectura para implementacións de tempo real de capas físicas basadas en OFDM usando como referencia O estándar WiMAX, probada Dunha plataforma composta por OSPs e FPGAs. Por outra banda, estudar os efectos da selectividade en tempo no sinal OFDM, definindo métodos de estimación de canle que teñen en conta a ICI, e evaluándoos tanto en simulación como con medidas experimentais. Seguíronse dúas aproximacións para caracterizar o comportamento de formas de onda OFDM baixo condicións de mobilidade, unha basada nun emulador de canle que traballa en tempo real, e outra en inducir grandes ensanchamentos Doppler no sinal mediante a extensión da duración do símbolo OFOM.[Resumen] En las dos últimas décadas, las modulaciones multiportadora han emergido como una solución de baja complejidad para combatir los efectos del multitrayecto en comunicaciones iDalámbricas. Entre ellas, Orthogonal Frequency Division Mulriplexing (OFDM) es posiblemente el esquema de modulación más estudiado, y también ampliamente adoptado como fundamento de estándares de la industria como WiMAX o LTE. Sin embargo, OFDM es sensible a canales que varían con el tiempo, una característica de los escenarios coo movilidad, debido a la aparicióo de la interferencia entre portadoras (ICI). La implementación de equipamiento hardware para el usuario final se hace normalmente en chips dedicados, aunque eo entornos de investigación, son preferibles soluciones más Hexibles. Una aproximación popular es la conocida como Software Defined Radio (SDR), donde los algOritmos de procesado de señal se implementan en hardware reconfigurable como Digital Signa! Processors (DSPs) y Field Programmable Gate AIrays (FPGAs). El objetivo de este trabajo es doble. Por un lado. definir una arquitectura para implementaciones de tiempo real de capas ¡lSicas basadas en OFDM usando como referencia el estándar WiMAX, probada en una plataforma compuesta por DSPs y FPGAs. Por otro lado, estudiar los efectos de la selectividad en tiempo en la señal OFDM, definiendo métodos de estimacióo de canal que tengan eo cueota la ICI, y evaluándolos tanto en simulación como con medidas experimenta1es. Se han seguido dos aproximaciones para caracterizar el comportamiento de formas de onda OFDM bajo condiciones de mobilidad, una basada en un emulador de canal que trabaja en tiempo real. y otra en inducir grandes ensanchamientos Doppler en la señal mediante la extensión de la duración del símbolo OFDM.[Abstract] In Ihe last two decades, multicarrier modulations have emerged as a low complexity solulion to combal the effects of Ihe multipalh in wireless communicalions. Among Ihem, Orthogonal Frequency Division Mulliplexing (OFOM) is possibly Ihe mosl sludied modulation scheme, and has a1so been widely adopted as Ihe foundation of induslry standards such as WiMAX or LTE. However, OFOM is sensitive lo time selective channels, which are featured in mobility scenarlos, due lO Ihe appearance of Inler-Carrier Interference (ICI). Implemenlation of hardware equipmenl for Ihe end user is usually implemenled in dedicaled chips, bul in researeh environments, more flexible solutions are preferred. One popular approach is the so ealled Software Defined Radio (SOR), where the signal processing a1gorithms are implemented in reconfigurable hardware sueh as Digital Signal Processors (DSPs) and Field Prograrnmable Gate Arrays (FPGAs). The aim of Ibis work is two-fold. On the one hand, to define an architeclure for Ihe implementation of real-time OFOM-based physical layers, using as a reference Ihe WiMAX standard, and it is tested on a platform composed by DSPs and FPGAs. On the olher hand, to study Ihe effeets of !he time seleetivity on !he OFOM signal, defining channel estimation me!hods aware of !he ICI, and ils evaluation bo!h in simulation as well as experimental measuremenls. Two approaches have been followed to assess the behavior of OFOM waveforms under mobility conditions, one based on a real-time channel emulator, and the other on inducing large Doppler spreads in !he signal by extending the duration of Ihe OFDM symbols

    Adaptive Bit Allocation With Reduced Feedback for Wireless Multicarrier Transceivers

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    With the increasing demand in the wireless mobile applications came a growing need to transmit information quickly and accurately, while consuming more and more bandwidth. To address this need, communication engineers started employing multicarrier modulation in their designs, which is suitable for high data rate transmission. Multicarrier modulation reduces the system's susceptibility to the frequency-selective fading channel, by transforming it into a collection of approximately flat subchannels. As a result, this makes it easier to compensate for the distortion introduced by the channel. This thesis concentrates on techniques for saving bandwidth usage when employing adaptive multicarrier modulation, where subcarrier parameters (bit and energy allocations) are modulated based on the channel state information feedback obtained from previous burst. Although bit and energy allocations can substantially increase error robustness and throughput of the system, the feedback information required at both ends of the transceiver can be large. The objective of this work is to compare different feedback compression techniques that could reduce the amount of feedback information required to perform adaptive bit and energy allocation in multicarrier transceivers. This thesis employs an approach for reducing the number of feedback transmissions by exploiting the time-correlation properties of a wireless channel and placing a threshold check on bit error rate (BER) values. Using quantization and source coding techniques, such as Huffman coding, Run length encoding and LZWalgorithms, the amount of feedback information has been compressed. These calculations have been done for different quantization levels to understand the relationship between quantization levels and system performance. These techniques have been applied to both OFDM and MIMO-OFDM systems
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