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20112026
most citedDeep-Reinforcement Learning Multiple Access for Heterogeneous Wireless Networks

335 citations · 698 across the 43 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CR2019★ 17 cited

When Blockchain Meets AI: Optimal Mining Strategy Achieved By Machine Learning

Taotao Wang, Soung Chang Liew, Shengli Zhang

This work applies reinforcement learning (RL) from the AI machine learning field to derive an optimal Bitcoin-like blockchain mining strategy without knowing the details of the blo…

cs.CR2019★ 2 cited

Game-Theoretical Analysis of Mining Strategy for Bitcoin-NG Blockchain Protocol

Taotao Wang, Xiaoqian Bai, Hao Wang +2

Bitcoin-NG, a scalable blockchain protocol, divides each block into a key block and many micro blocks to effectively improve the transaction processing capacity. Bitcoin-NG has a s…

cs.NI2019

Non-Uniform Time-Step Deep Q-Network for Carrier-Sense Multiple Access in Heterogeneous Wireless Networks

Yiding Yu, Soung Chang Liew, Taotao Wang

This paper investigates a new class of carrier-sense multiple access (CSMA) protocols that employ deep reinforcement learning (DRL) techniques, referred to as carrier-sense deep-re…

cs.CR2019★ 6 cited

PubChain: A Decentralized Open-Access Publication Platform with Participants Incentivized by Blockchain Technology

Taotao Wang, Soung Chang Liew, Shengli Zhang

We design and implement Publication Chain (PubChain), a decentralized open-access publication platform built on decentralized and distributed technologies of blockchain and IPFS pe…

cs.IT2019★ 2 cited

Deep Learning for Joint MIMO Detection and Channel Decoding

Taotao Wang, Lihao Zhang, Soung Chang Liew

We propose a deep-learning approach for the joint MIMO detection and channel decoding problem. Conventional MIMO receivers adopt a model-based approach for MIMO detection and chann…