Application of Tagged User Analysis to FU-FB Slotted ALOHA Performance over Frequency Selective Fading Channels

Slotted ALOHA (S-ALOHA) is a simple random multiple access technique used in many data and cellular networks for random access phase. We use tagged user analysis (TUA), an approximate analysis technique, for evaluation of performance parameters of finite user finite buffer (FU-FB) S-ALOHA system over frequency selective fading channels. We also derive analytical expressions for several performance metrics. TUA does not suffer from the complexity issues normally associated with Markov model, where a state space of complexity in the exponential order of buffer size and the number of users must be solved. On comparison of analytical results with simulations, it is observed that TUA is able to accurately analyze the system for a much lower computational cost.