Implementation of probability control over convolutional codes

Probability control is a recently introduced concept that allows better mitigation of multiple access interference in CDMA networks. A probability controlled system uses non-continuous transmission, and reduces the interference by controlling the userspsila transmission probabilities. The advantages of probability control were proved by analysis of its signal to noise plus interference ratio (SINR) and its achievable mutual information rate. In this paper we take this research one step forward, and study the practical requirements from a system that implements probability control. We present a system structure that is based on convolutional codes, periodic puncturing and pseudo random interleaving, and define the required receiver structure. Performance analysis of the presented system shows significant gains over conventional systems.