activity
20182026
most citedReconfigurable Intelligent Surfaces with Reflection Pattern Modulation: Beamforming Design and Performance Analysis

8 citations · 22 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AI2026

When Correct Solutions Repeat: Rarity-Aware Credit Redistribution for GRPO

Zhe Cao, Miaowen Wen, Fangjiong Chen

Reinforcement learning with verifiable rewards (RLVR) com- monly optimizes each correct completion as an independent learning signal. In GRPO, this completion-level uniformity crea…

cs.IT2022★ 3 cited

Intelligent Reflecting Surface-Aided Spectrum Sensing for Cognitive Radio

Shaoe Lin, Beixiong Zheng, Fangjiong Chen +1

Spectrum sensing is a key enabling technique for cognitive radio (CR), which provides essential information on the spectrum availability. However, due to severe wireless channel fa…

cs.IT2021

Data Sensing and Offloading in Edge Computing Networks: TDMA or NOMA?

Zezu Liang, Hanbiao Chen, Yuan Liu +1

With the development of Internet-of-Things (IoT), we witness the explosive growth in the number of devices with sensing, computing, and communication capabilities, along with a lar…

cs.IT2021★ 1 cited

Noise Is Useful: Exploiting Data Diversity for Edge Intelligence

Zhi Zeng, Yuan Liu, Weijun Tang +1

Edge intelligence requires to fast access distributed data samples generated by edge devices. The challenge is using limited radio resource to acquire massive data samples for trai…

cs.IT2020★ 8 cited

Reconfigurable Intelligent Surfaces with Reflection Pattern Modulation: Beamforming Design and Performance Analysis

Shaoe Lin, Beixiong Zheng, George C. Alexandropoulos +3

Recent considerations for reconfigurable intelligent surfaces (RISs) assume that RISs can convey information by reflection without the need of transmit radio frequency chains, whic…

cs.IT2020

Data-Importance Aware Radio Resource Allocation: Wireless Communication Helps Machine Learning

Yuan Liu, Zhi Zeng, Weijun Tang +1

The rich mobile data and edge computing enabled wireless networks motivate to deploy artificial intelligence (AI) at network edge, known as \emph{edge AI}, which integrates wireles…

cs.IT2019★ 4 cited

NOMA-Aided Mobile Edge Computing via User Cooperation

Yuwen Huang, Yuan Liu, Fangjiong Chen

Exploiting the idle computation resources of mobile devices in mobile edge computing (MEC) system can achieve both channel diversity and computing diversity as mobile devices can o…

cs.IT2018★ 6 cited

Non-Orthogonal Multiple Access For Cooperative Communications: Challenges, Opportunities, And Trends

Dehuan Wan, Miaowen Wen, Fei Ji +2

Non-orthogonal multiple access (NOMA) is a promising radio access technique for next-generation wireless networks. In this article, we investigate the NOMA-based cooperative relay…