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Trajectory and passive beamforming design for IRS-aided multi-robot NOMA indoor networks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A novel intelligent reflecting surface (IRS)-aided multi-robot network is proposed, where multiple mobile wheeled robots are served by an access point (AP) through non-orthogonal multiple access (NOMA). The goal is to maximize the sum-rate of all robots by jointly optimizing trajectories and NOMA decoding orders of robots, reflecting coefficients of the IRS, and the power allocation of the AP, subject to the quality of service (QoS) of each robot. To tackle this problem, a dueling double deep Q-network (D 3 QN) based algorithm is invoked for jointly determining the phase shift matrix and robots’ trajectories. Specifically, the trajectories for robots contain a set of local optimal positions, which reveals that robots make the optimal decision at each step. Numerical results demonstrated that the proposed D 3 QN algorithm outperforms the conventional algorithm, while the performance of IRS-NOMA network is better than the orthogonal multiple access (OMA) network.


Original languageEnglish
Title of host publicationICC 2021 - IEEE International Conference on Communications: proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781728171227
ISBN (Print)9781728171234
DOIs
Publication statusPublished - 06 Aug 2021
Externally publishedYes
EventIEEE International Conference on Communications 2021 - Montreal, Canada
Duration: 14 Jun 202123 Jun 2021

Publication series

NameIEEE ICC Proceedings
ISSN (Print)1550-3607
ISSN (Electronic)1938-1883

Conference

ConferenceIEEE International Conference on Communications 2021
Abbreviated titleIEEE ICC 2021
Country/TerritoryCanada
CityMontreal
Period14/06/202123/06/2021

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