| Session: | 1.1.1 - Signal Processing in MIMO Systems |
| Session Time: | Monday, July 10, 09:40 - 11:00 |
| Paper Time: | Monday, July 10, 10:20 - 10:40 |
| Title: |
Successive Decoding for Finite State Markov Modelled Flat Fading Channels |
| Authors: |
Teng Li; University of Notre Dame | | |
| | Xiaowei Jin; University of Notre Dame | | |
| | Oliver Collins; University of Notre Dame | | |
| Abstract: |
This paper proposes a novel successive decoding paradigm for fading channels. $K$ independent codewords of different rates and lengths are interleaved at the transmitter according to a pattern, and successively decoded at the receiver. This enables progressively better channel estimates for the receiver, at a minimal cost of pilot symbols. At each decoding stage, channel estimation and decoding are performed separately, or iteratively if the residual channel correlation within a codeword can be exploited. The flexible interleaver pattern, after some level of optimization, achieves near-capacity system performance with only a small number of codewords $K$, as demonstrated numerically by a finite state Markov modelled flat fading channel. |
