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Analysis and design of bit interleaved coded modulation based transceivers Malik, Muhammad Talha

Abstract

Bit-interleaved coded modulation (BICM) is a very popular approach for spectrally efficient coded transmission. In BICM, the channel encoder is separated from the modulator by a bit level interleaver. The presence of a random interleaver in BICM allows the designer a flexibility to independently choose the code rate and the modulation order. This allows an easy adaptation of the transmission rate to the channel conditions. BICM maximizes the code diversity, and therefore, is a superior alternative to the conventional trellis coded modulation (TCM) in fading channels. In additive white Gaussian noise (AWGN) channels, BICM is suboptimal because it reduces the minimum Euclidean distance. However, its flexibility and ease of implementation makes it an attractive scheme even for transmission over non-fading channels. The objective of this thesis is to investigate and optimize new BICM designs in order to further improve the BICM-based transceivers. First, we develop an analytical framework for performance evaluation of a new generalized BICM (referred to as BICM-T) transmission over AWGN channels that can be used to predict and optimize the error rate performance of such systems. Second, we investigate the performance of BICM in non-Gaussian channels due to its practical relevance. Moreover, because of its various advantages in designing a wireless transceiver, we realize that a BICM-based transceiver will be the natural choice for cooperative communication systems. Therefore, we present an innovative BICM design for cooperative communication where various BICM modules can be optimized jointly considering the average signal to noise ratios of the direct and the two-hop Rayleigh fading channels. The results presented in this thesis show that by optimizing different system modules of our proposed BICM designs, significant gains in the bit error rate (BER) performance can be achieved.

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Attribution-NonCommercial-NoDerivs 3.0 Unported