Matches in SemOpenAlex for { <https://semopenalex.org/work/W2962247285> ?p ?o ?g. }
- W2962247285 endingPage "8999" @default.
- W2962247285 startingPage "8989" @default.
- W2962247285 abstract "Backscatter communications have been considered as one of the key technologies in the Internet of Things (IoT) applications. In this paper, we consider a multitag ambient backscatter system, where the multiple tags can harvest radio frequency (RF) energy from the power station and backscatter the RF signals to the reader for data transmission. In order to guarantee the throughput requirements, we aim to maximize the minimum user rate among all the tags by jointly optimizing the backscatter time allocation and power reflection coefficient. Channel state information (CSI) mismatch is taken into account in our proposed optimization problem, which leads to a robust chance-constrained optimization problem. To deal with the nonconvex chance constraints, we propose two safe approximation methods: 1) Bernstein-type-in-equality and 2) conditional value-at-risk (CVaR), applying to the Gaussian distribution and arbitrary distribution of channel estimation errors, respectively. In addition, we develop an alternating optimization algorithm to obtain the optimal value of minimum throughput. Finally, simulation results reveal that the CVaR-based method outperforms the Bernstein-type-inequality-based method for the non-Gaussian channel estimation error." @default.
- W2962247285 created "2019-07-23" @default.
- W2962247285 creator A5029695887 @default.
- W2962247285 creator A5050402661 @default.
- W2962247285 creator A5063667378 @default.
- W2962247285 creator A5071773009 @default.
- W2962247285 date "2019-10-01" @default.
- W2962247285 modified "2023-10-13" @default.
- W2962247285 title "A Robust Design for Ultra Reliable Ambient Backscatter Communication Systems" @default.
- W2962247285 cites W1964339032 @default.
- W2962247285 cites W1975147464 @default.
- W2962247285 cites W1997638491 @default.
- W2962247285 cites W2004516181 @default.
- W2962247285 cites W2018667077 @default.
- W2962247285 cites W2042599231 @default.
- W2962247285 cites W2086984327 @default.
- W2962247285 cites W2092660864 @default.
- W2962247285 cites W2099461393 @default.
- W2962247285 cites W2120406684 @default.
- W2962247285 cites W2142652110 @default.
- W2962247285 cites W2218982152 @default.
- W2962247285 cites W2295912450 @default.
- W2962247285 cites W2512920678 @default.
- W2962247285 cites W2548390322 @default.
- W2962247285 cites W2560844389 @default.
- W2962247285 cites W2580412078 @default.
- W2962247285 cites W2614741889 @default.
- W2962247285 cites W2624922208 @default.
- W2962247285 cites W2736078417 @default.
- W2962247285 cites W2766141035 @default.
- W2962247285 cites W2769284796 @default.
- W2962247285 cites W2772088927 @default.
- W2962247285 cites W2775135700 @default.
- W2962247285 cites W2775371791 @default.
- W2962247285 cites W2776006509 @default.
- W2962247285 cites W2791237814 @default.
- W2962247285 cites W2791978050 @default.
- W2962247285 cites W2794694461 @default.
- W2962247285 cites W2802570332 @default.
- W2962247285 cites W2807738367 @default.
- W2962247285 cites W2889184287 @default.
- W2962247285 cites W2890053410 @default.
- W2962247285 cites W2890677986 @default.
- W2962247285 cites W2900053136 @default.
- W2962247285 cites W2911121781 @default.
- W2962247285 cites W2943551695 @default.
- W2962247285 cites W2963205726 @default.
- W2962247285 doi "https://doi.org/10.1109/jiot.2019.2925843" @default.
- W2962247285 hasPublicationYear "2019" @default.
- W2962247285 type Work @default.
- W2962247285 sameAs 2962247285 @default.
- W2962247285 citedByCount "20" @default.
- W2962247285 countsByYear W29622472852019 @default.
- W2962247285 countsByYear W29622472852020 @default.
- W2962247285 countsByYear W29622472852021 @default.
- W2962247285 countsByYear W29622472852022 @default.
- W2962247285 countsByYear W29622472852023 @default.
- W2962247285 crossrefType "journal-article" @default.
- W2962247285 hasAuthorship W2962247285A5029695887 @default.
- W2962247285 hasAuthorship W2962247285A5050402661 @default.
- W2962247285 hasAuthorship W2962247285A5063667378 @default.
- W2962247285 hasAuthorship W2962247285A5071773009 @default.
- W2962247285 hasBestOaLocation W29622472851 @default.
- W2962247285 hasConcept C11413529 @default.
- W2962247285 hasConcept C121332964 @default.
- W2962247285 hasConcept C126255220 @default.
- W2962247285 hasConcept C127162648 @default.
- W2962247285 hasConcept C127413603 @default.
- W2962247285 hasConcept C148063708 @default.
- W2962247285 hasConcept C157764524 @default.
- W2962247285 hasConcept C162324750 @default.
- W2962247285 hasConcept C163716315 @default.
- W2962247285 hasConcept C187736073 @default.
- W2962247285 hasConcept C24326235 @default.
- W2962247285 hasConcept C2779922397 @default.
- W2962247285 hasConcept C30354325 @default.
- W2962247285 hasConcept C32896092 @default.
- W2962247285 hasConcept C33923547 @default.
- W2962247285 hasConcept C41008148 @default.
- W2962247285 hasConcept C5496284 @default.
- W2962247285 hasConcept C555944384 @default.
- W2962247285 hasConcept C62520636 @default.
- W2962247285 hasConcept C74064498 @default.
- W2962247285 hasConcept C761482 @default.
- W2962247285 hasConcept C76155785 @default.
- W2962247285 hasConceptScore W2962247285C11413529 @default.
- W2962247285 hasConceptScore W2962247285C121332964 @default.
- W2962247285 hasConceptScore W2962247285C126255220 @default.
- W2962247285 hasConceptScore W2962247285C127162648 @default.
- W2962247285 hasConceptScore W2962247285C127413603 @default.
- W2962247285 hasConceptScore W2962247285C148063708 @default.
- W2962247285 hasConceptScore W2962247285C157764524 @default.
- W2962247285 hasConceptScore W2962247285C162324750 @default.
- W2962247285 hasConceptScore W2962247285C163716315 @default.
- W2962247285 hasConceptScore W2962247285C187736073 @default.
- W2962247285 hasConceptScore W2962247285C24326235 @default.
- W2962247285 hasConceptScore W2962247285C2779922397 @default.
- W2962247285 hasConceptScore W2962247285C30354325 @default.