Matches in SemOpenAlex for { <https://semopenalex.org/work/W3083335990> ?p ?o ?g. }
- W3083335990 endingPage "1441" @default.
- W3083335990 startingPage "1425" @default.
- W3083335990 abstract "In this article, we propose an orthogonal frequency-division multiplexing system supported by the compressed sensing assisted index modulation, termed as (OFDM-CSIM), applied to millimeter-wave (mmWave) communications. In the OFDM-CSIM mmWave system, information is conveyed not only by the classic constellation symbols but also by the on/off status of subcarriers, where the size of constellation symbols and the number of active subcarriers can be beneficially configured for maximizing the system's throughput. We conceive a machine learning (ML) assisted adaptive OFDM-CSIM mmWave system, which simultaneously benefits from the OFDM with index modulation (IM), compressed sensing (CS) and the hybrid beamforming techniques. Specifically, a ML-assisted link adaptation scheme is designed based on the k -nearest neighbors (k -NN) algorithm with the objective to maximize the system's throughput. Our studies show that the proposed ML-assisted link adaptation is capable of providing higher throughput than the conventional threshold-based link adaptation when different antenna structures are considered. Furthermore, the achievable data rates of four types of antenna arrays, including uniform linear array (ULA), uniform rectangular planar array (URPA), uniform circle planar array (UCPA) and uniform cylindrical array (UCYA), are investigated and compared over mmWave channels. The simulation results show that the UCYA achieves the highest data rate among these antenna arrays." @default.
- W3083335990 created "2020-09-11" @default.
- W3083335990 creator A5016934590 @default.
- W3083335990 creator A5031108116 @default.
- W3083335990 creator A5041023495 @default.
- W3083335990 creator A5071395661 @default.
- W3083335990 date "2020-01-01" @default.
- W3083335990 modified "2023-09-27" @default.
- W3083335990 title "Machine Learning Assisted Adaptive Index Modulation for mmWave Communications" @default.
- W3083335990 cites W1584244501 @default.
- W3083335990 cites W1980469326 @default.
- W3083335990 cites W1981581456 @default.
- W3083335990 cites W1984114931 @default.
- W3083335990 cites W1992463666 @default.
- W3083335990 cites W2033673467 @default.
- W3083335990 cites W2034818503 @default.
- W3083335990 cites W2036657477 @default.
- W3083335990 cites W2037995333 @default.
- W3083335990 cites W2053521124 @default.
- W3083335990 cites W2067605736 @default.
- W3083335990 cites W2068243911 @default.
- W3083335990 cites W2073954504 @default.
- W3083335990 cites W2079114205 @default.
- W3083335990 cites W2085098436 @default.
- W3083335990 cites W2116334496 @default.
- W3083335990 cites W2126073021 @default.
- W3083335990 cites W2137365129 @default.
- W3083335990 cites W2153187945 @default.
- W3083335990 cites W2153603787 @default.
- W3083335990 cites W2154786938 @default.
- W3083335990 cites W2161200040 @default.
- W3083335990 cites W2161743631 @default.
- W3083335990 cites W2169965856 @default.
- W3083335990 cites W2259391824 @default.
- W3083335990 cites W2391003 @default.
- W3083335990 cites W2469174679 @default.
- W3083335990 cites W2527745928 @default.
- W3083335990 cites W2540924152 @default.
- W3083335990 cites W2608523105 @default.
- W3083335990 cites W2626006124 @default.
- W3083335990 cites W2742478843 @default.
- W3083335990 cites W2771579582 @default.
- W3083335990 cites W2792937383 @default.
- W3083335990 cites W2807133510 @default.
- W3083335990 cites W2884417279 @default.
- W3083335990 cites W2896110918 @default.
- W3083335990 cites W2904019619 @default.
- W3083335990 cites W2916254409 @default.
- W3083335990 cites W2954448208 @default.
- W3083335990 cites W2963537617 @default.
- W3083335990 cites W2964218543 @default.
- W3083335990 cites W3103661966 @default.
- W3083335990 cites W3152290665 @default.
- W3083335990 cites W4256217385 @default.
- W3083335990 cites W2883246492 @default.
- W3083335990 doi "https://doi.org/10.1109/ojcoms.2020.3024724" @default.
- W3083335990 hasPublicationYear "2020" @default.
- W3083335990 type Work @default.
- W3083335990 sameAs 3083335990 @default.
- W3083335990 citedByCount "10" @default.
- W3083335990 countsByYear W30833359902021 @default.
- W3083335990 countsByYear W30833359902022 @default.
- W3083335990 countsByYear W30833359902023 @default.
- W3083335990 crossrefType "journal-article" @default.
- W3083335990 hasAuthorship W3083335990A5016934590 @default.
- W3083335990 hasAuthorship W3083335990A5031108116 @default.
- W3083335990 hasAuthorship W3083335990A5041023495 @default.
- W3083335990 hasAuthorship W3083335990A5071395661 @default.
- W3083335990 hasBestOaLocation W30833359901 @default.
- W3083335990 hasConcept C121332964 @default.
- W3083335990 hasConcept C123079801 @default.
- W3083335990 hasConcept C127162648 @default.
- W3083335990 hasConcept C127413603 @default.
- W3083335990 hasConcept C1276947 @default.
- W3083335990 hasConcept C138916503 @default.
- W3083335990 hasConcept C157764524 @default.
- W3083335990 hasConcept C21822782 @default.
- W3083335990 hasConcept C24326235 @default.
- W3083335990 hasConcept C24890656 @default.
- W3083335990 hasConcept C2775980084 @default.
- W3083335990 hasConcept C33378366 @default.
- W3083335990 hasConcept C40409654 @default.
- W3083335990 hasConcept C41008148 @default.
- W3083335990 hasConcept C54197355 @default.
- W3083335990 hasConcept C555944384 @default.
- W3083335990 hasConcept C62191587 @default.
- W3083335990 hasConcept C70352696 @default.
- W3083335990 hasConcept C76155785 @default.
- W3083335990 hasConcept C81978471 @default.
- W3083335990 hasConceptScore W3083335990C121332964 @default.
- W3083335990 hasConceptScore W3083335990C123079801 @default.
- W3083335990 hasConceptScore W3083335990C127162648 @default.
- W3083335990 hasConceptScore W3083335990C127413603 @default.
- W3083335990 hasConceptScore W3083335990C1276947 @default.
- W3083335990 hasConceptScore W3083335990C138916503 @default.
- W3083335990 hasConceptScore W3083335990C157764524 @default.
- W3083335990 hasConceptScore W3083335990C21822782 @default.
- W3083335990 hasConceptScore W3083335990C24326235 @default.