Code-division multiple access (CDMA) has recently found widespread applications in various applications such as advanced wireless technologies and digital cellular communications. In this paper, we consider the error-rate performance of asynchronous direct-sequence CDMA in a wireless radio communications environment that is characterized by Rayleigh multipath fading channels. Because of the system complexity, the performance of CDMA systems in such an environment is difficult to assess analytically. Monte Carlo simulations can offer an alternative performance evaluation tool. Unfortunately, in practice, such an alternative is often limited by an excessive computational burden. Importance sampling is a variance reduction technique which can significantly reduce the computational cost required by Monte Carlo simulations. This paper will describe the basic principles behind this powerful technique. In particular, it will illustrate its use as a computationally efficient and accurate tool for computer-aided design and analysis of uncoded as well as coded CDMA in wireless communications.
- Code-division multiple access
- Convolutional codes
- Importance sampling
- Wireless communications
ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering