Abstract

Contention resolution diversity slotted ALOHA is a simple but effective improvement of slotted ALOHA. It relies on MAC bursts repetition and on interference cancellation to increase the throughput of a classic slotted ALOHA access scheme. This improvement permits to achieve a throughput up to T ≃ 0.55, whereas slotted ALOHA is capable of providing T ≃ 0.37. In this paper we show that the iterative interference cancellation process used in contention resolution diversity slotted ALOHA can be described by a bipartite graph. Such representation permits to establish a bridge between the iterative interference cancellation process and the iterative erasure recovery process of graph-based codes. Exploiting this analogy, we show how a higher throughput (close to T ≃ 0.9) can be achieved by selecting variable burst repetition rates, leading to irregular graphs, according to given probability distributions. A framework for the probability distribution optimization is provided as well. Simulation results including the actual interference cancellation mechanism confirm the high efficiency of the proposed approach.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call