Error probability of bit-interleaved coded modulation in wireless environments | IEEE Journals & Magazine | IEEE Xplore

Error probability of bit-interleaved coded modulation in wireless environments


Abstract:

The bit-interleaved coded modulation (BICM) method is efficient in mitigating multipath fading by providing time diversity. In this paper, union bounds on the bit and pac...Show More

Abstract:

The bit-interleaved coded modulation (BICM) method is efficient in mitigating multipath fading by providing time diversity. In this paper, union bounds on the bit and packet error probabilities of the BICM are derived. In the derivation, the authors assume the uniform interleaving of coded bits prior to mapping them onto the signal constellation. This results in a random distribution of the error bits in a codeword over the transmitted symbols. This distribution is evaluated, and the corresponding pairwise error probability is derived. Union bounds are functions of the distance spectrum of the channel code and the signal constellation used in the BICM system. The authors consider BICM systems operating over additive white Gaussian noise (AWGN), Rayleigh, Rician, and Nakagami fading channels. Results show that the new bounds are tight to simulation curves for different channel models. The proposed bounds are general for any coding scheme with a known distance spectrum.
Published in: IEEE Transactions on Vehicular Technology ( Volume: 55, Issue: 2, March 2006)
Page(s): 722 - 728
Date of Publication: 31 March 2006

ISSN Information:


I. Introduction

The growing demand for data communications require bandwidth-efficient transmission techniques. A serious challenge to reliable communication in wireless systems is the time-varying multipath fading environment, which causes the received SNR to vary randomly. The fading distribution depends on the environment. For example, if a line of site (LOS) exists between the transmitter and the receiver in addition to the multipath reception, the fading process can be modeled by a Rician distribution [1]. Another popular fading model is the Nakagami distribution [2], which provides a family of distributions that match measurements in different propagation environments [3].

References

References is not available for this document.