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Data · dataset · 2026

Performance-driven design and optimisation of millimetre-wave communication hardware

Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.17034/32826155.v1

Millimetre-wave (mmWave) communication hardware continues to face significant challenges despite its growing adoption for next-generation wireless systems.

Description

These challenges primarily arise due to complex electromagnetic interactions, strict performance requirements, and unique propagation characteristics associated with these frequencies. This thesis systematically addresses several critical issues inherent to mmWave technology through an approach encompassing design, optimisation, analysis, and rigorous experimental methods.

Specifically, this research focuses on optimised sparse antenna arrays to effectively mitigate mutual coupling, a prevalent issue that limits antenna array performance. Advanced optimisation algorithms, including Particle Swarm Optimisation, Genetic Algorithms, Covariance Matrix Adaptation Evolution Strategy, and Nelder-Mead Simplex Algorithm, are rigorously evaluated to achieve optimal array configurations that improve realised gain and reduce unwanted side lobes.

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Building upon this foundation of optimised array design and recognising the increased sensitivity of mmWave signals to user-device interactions and blockages, the research extends to evaluating mmWave mobile handset performance through detailed simulations and extensive experiments. The impact of realistic user grips and orientations on handset antenna performance is measured, guiding the development of optimal antenna placement and beam steering strategies.

Additionally, this thesis investigates the practical integration of Reflective Intelligent Surfaces (RIS), demonstrating their potential to enhance mmWave signal propagation significantly. Both simulation-based and practical validations illustrate how RIS technology can effectively address line-of-sight and non-line-of-sight challenges, improving signal quality and system reliability. Overall, this investigation bridges existing gaps in mmWave hardware performance research, providing valuable insights and methodologies that support the practical deployment and advancement of future wireless communication systems.

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Where it is published

Catalogue records · 1

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Provenance · 3 source records, 10 field assertions
SourceKeyLast seenRaw
ZivaHuboai:figshare.com:article/328261557 d agoJSON v1
Deakin Research Onlineoai:figshare.com:article/328261557 d agoJSON v1
DMU Figshareoai:figshare.com:article/328261557 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:field:490304mapping · figshare dmu ac ukvocabulary-mapper@1.0.0keywords['optimisation']
concepts[field].anzsrc:field:490304mapping · zivahub uct ac zavocabulary-mapper@1.0.0keywords['optimisation']
concepts[field].anzsrc:field:490304mapping · dro deakin edu auvocabulary-mapper@1.0.0keywords['optimisation']
concepts[field].local:field:earth-environmentalmapping · dro deakin edu auconnector:dro_deakin_edu_au@1.0.0
concepts[field].local:field:earth-environmentalmapping · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
concepts[field].local:field:earth-environmentalmapping · figshare dmu ac ukconnector:figshare_dmu_ac_uk@1.0.0
descriptionsource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0/metadata/dc/description
license_textsource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
publication_datesource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
titlesource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0/metadata/dc/title