Making ALOHA Intelligent Taking Advantage of Working Memory Capacity

J. J. Garcia-Luna-Aceves, Dylan Cirimelli-Low, Shedieh Homayon. Making ALOHA Intelligent Taking Advantage of Working Memory Capacity. In Mónica Aguilar-Igartua, Luis J. de la Cruz Llopis, Thomas Begin, editors, Proceedings of the 19th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks on 19th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks, Montreal, Quebec, Canada, October 24-28, 2022. pages 123-131, ACM, 2022. [doi]

@inproceedings{Garcia-Luna-Aceves22-4,
  title = {Making ALOHA Intelligent Taking Advantage of Working Memory Capacity},
  author = {J. J. Garcia-Luna-Aceves and Dylan Cirimelli-Low and Shedieh Homayon},
  year = {2022},
  doi = {10.1145/3551663.3558592},
  url = {https://doi.org/10.1145/3551663.3558592},
  researchr = {https://researchr.org/publication/Garcia-Luna-Aceves22-4},
  cites = {0},
  citedby = {0},
  pages = {123-131},
  booktitle = {Proceedings of the 19th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks on 19th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks, Montreal, Quebec, Canada, October 24-28, 2022},
  editor = {Mónica Aguilar-Igartua and Luis J. de la Cruz Llopis and Thomas Begin},
  publisher = {ACM},
  isbn = {978-1-4503-9483-3},
}