Yao-Nan Lee

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To apply the promising idea of iterative information processing to the problem of joint channel estimation and data decoding, one may utilize the soft information of the coded bits to help refine the channel estimate, e.g., with Wiener filtering. However, the performance of such an iterative approach depends on not only the construction of the iteratively(More)
In Part I of this paper, we analyzed the asymptotic mutual information of the joint-decoding MIMO systems. Here in Part II, we focus on the performance analysis of the MIMO systems with various separate decoding schemes, i.e., with various suboptimum spatial equalizers followed by a bank of temporal decoders. Among the suboptimum spatial equalizers, under(More)
In this paper, we propose an iterative equalization algorithm for the TDS-OFDM/ZP-OFDM system to mitigate the inter-symbol interference (ISI) incurred by channels with large delay spread. The time-domain signal components polluted by the ISI are replaced with the reconstructed ones, which are generated from the the channel impulse response and the data(More)
Inspired by the success of the low-density parity-check (LDPC) codes in the field of error-control coding, in this paper we propose transforming the downlink multiuser multiple-input multiple-output scheduling problem into an LDPC-like problem using the normal graph. Based on the normal graph framework, soft information, which indicates the probability that(More)