no code implementations • 29 Jan 2023 • Jianhang Zhu, Rongpeng Li, Xianfu Chen, Shiwen Mao, Jianjun Wu, Zhifeng Zhao
On top of that, we customize its temporal and structural learning modules to further boost the prediction performance.
no code implementations • 27 Jan 2023 • Zhimin Lu, Yong Xiao, Zijian Sun, Yingyu Li, Guangming Shi, Xianfu Chen, Mehdi Bennis, H. Vincent Poor
In this paper, we consider the implicit semantic communication problem in which hidden relations and closely related semantic terms that cannot be recognized from the source signals need to also be delivered to the destination user.
no code implementations • 16 Dec 2022 • Zhilin Lu, Rongpeng Li, Kun Lu, Xianfu Chen, Ekram Hossain, Zhifeng Zhao, Honggang Zhang
Along with the springing up of semantics-empowered communication (SemCom) researches, it is now witnessing an unprecedentedly growing interest towards a wide range of aspects (e. g., theories, applications, metrics and implementations) in both academia and industry.
no code implementations • 19 Sep 2022 • Xianfu Chen, Zhifeng Zhao, Shiwen Mao, Celimuge Wu, Honggang Zhang, Mehdi Bennis
We then put forward a novel offline DAC scheme, which estimates the optimal control policy from a previously collected dataset without any further interactions with the system.
no code implementations • 16 Oct 2021 • Kun Lu, Qingyang Zhou, Rongpeng Li, Zhifeng Zhao, Xianfu Chen, Jianjun Wu, Honggang Zhang
Modern communications are usually designed to pursue a higher bit-level precision and fewer bits while transmitting a message.
1 code implementation • 27 Aug 2021 • Kun Lu, Rongpeng Li, Xianfu Chen, Zhifeng Zhao, Honggang Zhang
We introduce a new semantic communication mechanism - SemanticRL, whose key idea is to preserve the semantic information instead of strictly securing the bit-level precision.
no code implementations • 8 Feb 2021 • Rui Yin, Zhiqun Zou, Celimuge Wu, Jiantao Yuan, Xianfu Chen, Guanding Yu
An unsupervised Neural Network (NN) structure is applied to filter the detected transmission collision probability on the unlicensed spectrum, which enables the NR users to precisely rectify the measurement error and estimate the number of active WiFi users.
Information Theory Information Theory
no code implementations • 8 Feb 2021 • Rui Yin, Zhiqun Zou, Celimuge Wu, Jiantao Yuan, Xianfu Chen
In this paper, a Device-to-Device communication on unlicensed bands (D2D-U) enabled network is studied.
Fairness Federated Learning Information Theory Information Theory
1 code implementation • 3 Sep 2020 • Pengyuan Zhou, Xianfu Chen, Zhi Liu, Tristan Braud, Pan Hui, Jussi Kangasharju
To this end, we propose a Decentralized Reinforcement Learning at the Edge for traffic light control in the IoV (DRLE).
no code implementations • 15 Jul 2020 • Xianfu Chen, Celimuge Wu, Zhi Liu, Ning Zhang, Yusheng Ji
Facing the trend of merging wireless communications and multi-access edge computing (MEC), this article studies computation offloading in the beyond fifth-generation networks.
no code implementations • 15 Jul 2020 • Xianfu Chen, Celimuge Wu, Tao Chen, Zhi Liu, Honggang Zhang, Mehdi Bennis, Hang Liu, Yusheng Ji
Using the proposed deep RL scheme, each MU in the system is able to make decisions without a priori statistical knowledge of dynamics.
no code implementations • 6 Aug 2019 • Xianfu Chen, Celimuge Wu, Tao Chen, Honggang Zhang, Zhi Liu, Yan Zhang, Mehdi Bennis
In this paper, we investigate the problem of age of information (AoI)-aware radio resource management for expected long-term performance optimization in a Manhattan grid vehicle-to-vehicle network.
no code implementations • 3 Jun 2019 • Xianfu Chen, Celimuge Wu, Honggang Zhang, Yan Zhang, Mehdi Bennis, Heli Vuojala
To simplify the decision-making process, we first decompose the MDP into a series of per-VUE-pair MDPs.
no code implementations • 10 May 2019 • Yuxiu Hua, Rongpeng Li, Zhifeng Zhao, Xianfu Chen, Honggang Zhang
Moreover, we further develop Dueling GAN-DDQN, which uses a specially designed dueling generator, to learn the action-value distribution by estimating the state-value distribution and the action advantage function.
no code implementations • 24 Oct 2018 • Yuxiu Hua, Zhifeng Zhao, Rongpeng Li, Xianfu Chen, Zhiming Liu, Honggang Zhang
Time series prediction can be generalized as a process that extracts useful information from historical records and then determines future values.
no code implementations • 17 May 2018 • Rongpeng Li, Zhifeng Zhao, Qi Sun, Chi-Lin I, Chenyang Yang, Xianfu Chen, MinJian Zhao, Honggang Zhang
Network slicing is born as an emerging business to operators, by allowing them to sell the customized slices to various tenants at different prices.
no code implementations • 16 May 2018 • Xianfu Chen, Honggang Zhang, Celimuge Wu, Shiwen Mao, Yusheng Ji, Mehdi Bennis
To improve the quality of computation experience for mobile devices, mobile-edge computing (MEC) is a promising paradigm by providing computing capabilities in close proximity within a sliced radio access network (RAN), which supports both traditional communication and MEC services.
no code implementations • 8 Nov 2017 • Yuxiu Hua, Zhifeng Zhao, Rongpeng Li, Xianfu Chen, Zhiming Liu, Honggang Zhang
So, the RCLSTM, with certain intrinsic sparsity, have many neural connections absent (distinguished from the full connectivity) and which leads to the reduction of the parameters to be trained and the computational cost.
no code implementations • 28 Nov 2012 • Rongpeng Li, Zhifeng Zhao, Xianfu Chen, Jacques Palicot, Honggang Zhang
Recent works have validated the possibility of improving energy efficiency in radio access networks (RANs), achieved by dynamically turning on/off some base stations (BSs).