Nominate a Paper for the Paper Awards
The IEEE Communications Society Paper Awards honors the contributions of members and individuals who advance communications technology through published papers in ComSoc sponsored or co-sponsored publications.
Do you have a paper in mind?
Deadline - 15 February
$1,000 to be split equally among co-authors of the awarded paper. Each author and co-author will receive a Plaque. At most one paper may be selected annually.
To honor the author(s) of an outstanding technical paper in the areas of interest and scope of the IEEE Communications Society (ComSoc).
Author(s) of an impactful technical manuscript in the areas of interest of the Society, which has been published (i.e., assigned to an issue) in the previous 3 calendar years in Transactions or Journals solely/primarily owned/managed by ComSoc where no dedicated award exists at the time of publication of the paper. There are no restrictions for the Authors to be IEEE/ComSoc Members. Previous recipients of this award are eligible, for a different paper. The list of journals and Transactions is provided before the end of each calendar year on the webpage of the Society.
Basis for Judging
Originality, overall impact, and clarity of presentation.
The IEEE Communications Society will administer the award out of its annual Society operating budget.
Annually, preferably at ICC or GLOBECOM (as soon as possible after recommendation), or at a ComSoc Conference with very high visibility and attendance.
Nominations due 15 February unless otherwise noted.
2022 Award Recipients
Marco Di Renzo, Konstantinos Ntontin, Jian Song, Fadil Habibi Danufane, Xuewen Qian, Fotis I. Lazarakis, Julien de Rosny, Dinh-Thuy Phan-Huy, Osvaldo Simeone, Rui Zhang, Mérouane Debbah, Geoffroy Lerosey, Mathias Fink, Sergei A. Tretyakov, and Shlomo Shamai (Shitz)
“Reconfigurable Intelligent Surfaces vs. Relaying: Differences, Similarities, and Performance Comparison,” IEEE Open Journal of the Communications Society, vol. 1, pp. 798-807, June 2020.
PAST AWARD RECIPIENTS
Xianfu Chen, Honggang Zhang, Celimuge Wu, Shiwen Mao, Yusheng Ji, and Mehdi Bennis
"Optimized Computation Offloading Performance in Virtual Edge Computing Systems Via Deep Reinforcement Learning," IEEE Internet of Things Journal, Vol. 6, No. 3, pp. 4005-4018, June 2019.