The rate is realized based on the channel conditions for users separately. Fountain codesĪre agnostic to the channel conditions and rateless.
#Hossein khonsari queensu qspace code#
To decide the best code rate and the code rate is usually chosen according to the worst channel to avoid an outage. Fixed-rate codes need a priori information about each channel Many users with different capabilities are involved in the system.
Finally, based on the analytical approach and numerical results, our simulation results demonstrate that the proposed scheme achieves better performance than the regular LT codes and the other schemes in the literature.įountain codes are promising forward error correction codes suitable for broadcast and multicast applications where Furthermore, the analyses in this paper allow us to quantify the trade-off between overhead, on the one hand, and the decoding success probability and error probability, on the other hand. In addition, the paper presents the necessary techniques for analyzing the system and shows that the proposed scheme enhances the system performance in terms of decoding success probability, error probability, and code rate (or overhead). In such a network, the user can be connected to two different cells at the same time. In this paper, we propose using a fountain code as a promising solution to 5G and 6G networks, and then we propose using a modified version of the fountain codes (Luby transform codes) over a network topology (Y-network) that is relevant in the context of the 5G networks.
The next-generation networks (5G and beyond) require robust channel codes to support their high specifications, such as low latency, low complexity, significant coding gain, and flexibility.
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