no code implementations • 7 Jul 2022 • Yulin Shao, Yucheng Cai, Taotao Wang, Ziyang Guo, Peng Liu, Jiajun Luo, Deniz Gunduz
We consider the problem of autonomous channel access (AutoCA), where a group of terminals tries to discover a communication strategy with an access point (AP) via a common wireless channel in a distributed fashion.
no code implementations • 1 May 2021 • Qing Yang, Hao Wang, Taotao Wang, Shengli Zhang, Xiaoxiao Wu, Hui Wang
In this paper, we develop a blockchain-based VPP energy management platform to facilitate a rich set of transactive energy activities among residential users with renewables, energy storage, and flexible loads in a VPP.
no code implementations • 20 Sep 2020 • Chuan Ma, Jun Li, Ming Ding, Long Shi, Taotao Wang, Zhu Han, H. Vincent Poor
Motivated by the explosive computing capabilities at end user equipments, as well as the growing privacy concerns over sharing sensitive raw data, a new machine learning paradigm, named federated learning (FL) has emerged.
Networking and Internet Architecture
1 code implementation • 25 Mar 2020 • Yiding Yu, Soung Chang Liew, Taotao Wang
This paper aims to design a distributed deep reinforcement learning (DRL) based MAC protocol for a particular network, and the objective of this network is to achieve a global $\alpha$-fairness objective.
Networking and Internet Architecture
no code implementations • 29 Nov 2019 • Taotao Wang, Soung Chang Liew, Shengli Zhang
Experimental results indicate that, without knowing the parameter values of the mining MDP model, our multi-dimensional RL mining algorithm can still achieve the optimal performance over time-varying blockchain networks.
Cryptography and Security
no code implementations • 16 Oct 2018 • Yiding Yu, Soung Chang Liew, Taotao Wang
In particular, in a heterogeneous environment with nodes adopting different MAC protocols (e. g., CS-DLMA, TDMA, and ALOHA), a CS-DLMA node can learn to maximize the sum throughput of all nodes.
Networking and Internet Architecture
no code implementations • 26 Sep 2018 • Yulin Shao, Soung Chang Liew, Taotao Wang
We demonstrate the searching capabilities of AlphaSeq in two applications: 1) AlphaSeq successfully rediscovers a set of ideal complementary codes that can zero-force all potential interferences in multi-carrier CDMA systems.
1 code implementation • 1 Dec 2017 • Yiding Yu, Taotao Wang, Soung Chang Liew
In particular, the use of neural networks in DRL (as opposed to traditional reinforcement learning) allows for fast convergence to optimal solutions and robustness against perturbation in hyper-parameter settings, two essential properties for practical deployment of DLMA in real wireless networks.
Networking and Internet Architecture