Making slotted ALOHA efficient and fair using reinforcement learning

Zhang, Molly; Alfaro, Luca de; Garcia-Luna-Aceves, J.J.

doi:10.1016/j.comcom.2021.09.018

Cited by 5 publications

(2 citation statements)

References 10 publications

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“…), the sensors located nearby promptly report the gathered information and transmit it to the data sink. [13] In the following, we will describe the most commonly encountered architectures.…”

Section: B Data Collection Architecturesmentioning

confidence: 99%

Comparative Analysis of Physical Layer Network Coding-Based Random Access Techniques in WSN Communications

Mansour,

Hicham

2023

2023 14th International Conference on Intelligent Systems: Theories and Applications (SITA)

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This article focuses on enhancing random access methods in wireless communication systems through the introduction of the physical layer network coding technique. Specifically, we delve into the "Contention Resolution Diversity Slotted ALOHA" (CRDSA) protocol, an innovative method based on physical layer network coding and interference cancellation techniques. Our primary objective is to provide an in-depth comparison between traditional protocols such as ALOHA, Slotted ALOHA (SA), and our CRDSA method.In this article, we elaborate on how our CRDSA method outperforms these traditional protocols. We demonstrate concretely that our method significantly enhances channel efficiency, reducing collisions and increasing the overall system throughput. We also present meticulously studied results from our experiments, highlighting CRDSA's superior performance in terms of throughput and packet loss rates.In summary, our study makes a significant contribution by introducing CRDSA as an innovative and effective solution for wireless random access systems. The results clearly demonstrate that our method surpasses traditional approaches, paving the way for significant improvements in wireless communication networks.

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Section: B Data Collection Architecturesmentioning

confidence: 99%

Comparative Analysis of Physical Layer Network Coding-Based Random Access Techniques in WSN Communications

Mansour,

Hicham

2023

2023 14th International Conference on Intelligent Systems: Theories and Applications (SITA)

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“…An example of the expert-based RL approach is ALOHA-Q [5], in which nodes consider a transmission frame of fixed length and learn the quality of each frame slot, such that nodes learn to transmit during the time slots with the best quality. Other RL proposals focus on nodes learning the most successful history of transmissions or schedules [6,18].…”

Section: Introductionmentioning

confidence: 99%

Making ALOHA Intelligent Taking Advantage of Working Memory Capacity

Garcia-Luna-Aceves

Cirimelli-Low

Homayon

2022

Proceedings of the 19th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, &Amp; Ubiquitous Netw

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ALOHA with priority acknowledgments (ACK) is transformed into a collision-free channel access method by increasing the amount of working memory capacity with which communicating nodes remember each node that has requested to join the channel successfully. This results in ALOHA-NUI, for neighborhood understood index. The throughput of ALOHA-NUI is compared with the throughput of TDMA with a fixed transmission schedule, ALOHA with priority ACK's, and CSMA with priority ACK's analytically and by simulation. ALOHA-NUI is shown to attain the high throughput of collision-free transmission scheduling methods that usually require clock synchronization while maintaining most of the simplicity of ALOHA with priority ACK's. CCS CONCEPTS• Networks → Packet scheduling; Network protocol design; Link-layer protocols.

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Editorial of ACM MSWiM 2020 Special Issue

Loureiro

Giannelli

2022

Computer Communications

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Making slotted ALOHA efficient and fair using reinforcement learning

Cited by 5 publications

References 10 publications

Comparative Analysis of Physical Layer Network Coding-Based Random Access Techniques in WSN Communications

Comparative Analysis of Physical Layer Network Coding-Based Random Access Techniques in WSN Communications

Making ALOHA Intelligent Taking Advantage of Working Memory Capacity

Editorial of ACM MSWiM 2020 Special Issue

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