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20132023
most citedMAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence

34 citations · 134 across the 24 of their papers we have counts for

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Showing cs.ITShow all

6 papers · 1 filter

cs.IT2021

Distributed Learning for Time-varying Networks: A Scalable Design

Jian Wang, Yourui Huangfu, Rong Li +2

The wireless network is undergoing a trend from "onnection of things" to "connection of intelligence". With data spread over the communication networks and computing capability enh…

cs.IT20191 cited

Buffer-aware Wireless Scheduling based on Deep Reinforcement Learning

Chen Xu, Jian Wang, Tianhang Yu +5

In this paper, the downlink packet scheduling problem for cellular networks is modeled, which jointly optimizes throughput, fairness and packet drop rate. Two genie-aided heuristic…

cs.IT20194 cited

Deep Reinforcement Learning for Scheduling in Cellular Networks

Jian Wang, Chen Xu, Yourui Huangfu +3

Integrating artificial intelligence (AI) into wireless networks has drawn significant interest in both industry and academia. A common solution is to replace partial or even all mo…

cs.IT2018

A 5.16Gbps decoder ASIC for Polar Code in 16nm FinFET

Xiaocheng Liu, Qifan Zhang, Pengcheng Qiu +4

Polar codes has been selected as 5G standard. However, only a couple of ASIC featuring decoders are fabricated,and none of them support list size L > 4 and code length N > 1024. Th…

cs.IT20181 cited

Reed-Muller Sequences for 5G Grant-free Massive Access

Huazi Zhang, Rong Li, Jun Wang +2

We propose to use second order Reed-Muller (RM) sequence for user identification in 5G grant-free access. The benefits of RM sequences mainly lie in two folds, (i) support of much…

cs.IT20184 cited

Parity-Check Polar Coding for 5G and Beyond

Huazi Zhang, Rong Li, Jian Wang +5

In this paper, we propose a comprehensive Polar coding solution that integrates reliability calculation, rate matching and parity-check coding. Judging a channel coding design from…