Submitted by Renata Lopes (renatasil82@gmail.com) on 2017-04-20T15:37:28Z No. of bitstreams: 1 guilhermeribeirocolen.pdf: 1980646 bytes, checksum: 55067533570f6bd2d5a1ab3288db464d (MD5) / Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2017-04-24T16:49:37Z (GMT) No. of bitstreams: 1 guilhermeribeirocolen.pdf: 1980646 bytes, checksum: 55067533570f6bd2d5a1ab3288db464d (MD5) / Made available in DSpace on 2017-04-24T16:49:37Z (GMT). No. of bitstreams: 1 guilhermeribeirocolen.pdf: 1980646 bytes, checksum: 55067533570f6bd2d5a1ab3288db464d (MD5) Previous issue date: 2012-09-06 / CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico / Esta dissertação tem como objetivo investigar, propor e analisar esquemas para reduzir a complexidade computacional de algoritmos implementados na camada física de transceptores para comunicação de dados via rede elétrica - power line communication (PLC) que são baseados em multiplexação por divisão de frequência ortogonal - orthogonal frequency division multiplexing (OFDM). Inicialmente, o Clustered-OFDM é investigado e analisado com o intuito de reduzir a complexidade computacional dos transceptores PLC. Além disto, uma relação entre complexidade computacional e desempenho é demonstrada para Clustered-OFDM e múltiplo acesso por divisão de frequência ortogonal - orthogonal frequency division multiple access (OFDMA). Os resultados computacionais quantificam a relação entre complexidade computacional e redução da capacidade do canal para o Clustered-OFDM em comparação com o OFDMA. Em seguida, é proposto e analisado um esquema Clustered-OFDM para comunicação com múltiplas entradas e múltiplas saídas - multiple-input and multiple-output (MIMO) 2×2, denominado MIMO-Clustered-OFDM, que tem como base um código de bloco espacial e temporal. Os resultados de comparações revelam que a proposta MIMO-Clustered-OFDM pode reduzir a capacidade do canal para atingir uma menor complexidade computacional, comparado ao MIMO-OFDMA. Por último, é introduzido um processo para analisar estatisticamente a degradação gerada pelo agrupamento de subportadoras contíguas para o uso de algoritmos de alocação de bits. Um estudo de caso com canais PLC revela que o critério aplicado para agrupar subportadoras contíguas pode proporcionar diferentes níveis de reduções de rendimento, bem como de outras perdas de desempenho se o tamanho do grupo é variável. / This thesis aims at investigating, proposing, and analyzing techniques to reduce the computational complexity of algorithms implemented in the physical layer of power line communication (PLC) transceivers which are based on orthogonal frequency division multiplexing (OFDM). First, the clustered-OFDM is investigated and analyzed to reduce computational complexity. Also, a trade between computational complexity and performance is demonstrated for clustered-OFDM and orthogonal frequency division multiple access (OFDMA). Performance results quantify what kind of tradeoff between computational complexity and capacity reduction can be achieved in comparison with OFDMA. Second, a clustered-OFDM scheme for 2×2 multiple input multiple output (MIMO) communication based on space time block code, named MIMO-clustered-OFDM, is proposed and analyzed. Comparison results reveal that the proposed MIMO-clustered-OFDM can trade capacity with computational complexity and can achieve lower computational complexity than MIMO-OFDMA. Third, a procedure to statistically analyze the degradation yielded by the use of granularity for grouping a set of contiguous subcarriers to be used by bitloading algorithm is introduced. A case study with PLC channels reveals that the criterion applied to group of contiguous subcarriers can offer different levels of throughput reductions and other performance losses if the size of the group is varied.

OFDM is a promising technique for high-data-rate wireless communications because it can combat inter-symbol interference (ISI) caused by the dispersive fading of wireless channels. The proposed research focuses on techniques that improve the performance of OFDM-based wireless communications and its commercial and military applications. In particular, we address the following aspects of OFDM: inter-channel interference (ICI) suppression, interference suppression for clustered OFDM, clustered OFDM based anti-jamming modulation, channel estimation for MIMO-OFDM, MIMO transmission with limited feedback. For inter-channel interference suppression, a frequency domain partial response coding (PRC) scheme is proposed to mitigate ICI. We derive the near-optimal weights for PRC that is independent on the channel power spectrum. The error floor resulting from ICI can be reduced significantly using a two-tap or a three-tap PRC. Clustered OFDM is a new technique that has many advantages over traditional OFDM. In clustered OFDM systems, adaptive antenna arrays are used for interference suppression. To calculate weights for interference suppression, we propose a polynomial-based parameter estimator to combat the severe leakage of the DFT based estimator due to the small size of the cluster. An adaptive algorithm is developed to obtain optimal performance. For high data rate military communications, we propose a clustered OFDM base spread spectrum modulation to provide both anti-jamming and fading suppression capability. We analyze the performance of uncoded and coded system. Employing multiple transmit and receive antennas in OFDM systems (MIMO-OFDM) can increase the spectral efficiency and link reliability. We develop a minimum mean-square-error (MMSE) channel estimator that takes advantage of the spatial-frequency correlations in MIMO-OFDM systems to minimize the estimation error. We investigate the training sequence design and two optimal training sequence designs are given for arbitrary spatial correlations. For a MIMO system, the diversity and array gains can be obtained by exploiting channel information at the transmitter. For MIMO-OFDM systems, we propose a subspace tracking based approach that can exploit the frequency correlations of the OFDM system to reduce the feedback rate. The proposed approach does not need recalculate the precoding matrix and is robust to multiple data stream transmission.