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DC Field | Value | Language |
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dc.citation.endPage | 6216 | - |
dc.citation.number | 23 | - |
dc.citation.startPage | 6201 | - |
dc.citation.title | IEEE TRANSACTIONS ON SIGNAL PROCESSING | - |
dc.citation.volume | 65 | - |
dc.contributor.author | Choi, Jinseok | - |
dc.contributor.author | Evans, Brian L. | - |
dc.contributor.author | Gatherer, Alan | - |
dc.date.accessioned | 2023-12-21T21:18:15Z | - |
dc.date.available | 2023-12-21T21:18:15Z | - |
dc.date.created | 2020-10-26 | - |
dc.date.issued | 2017-12 | - |
dc.description.abstract | In this paper, we propose a hybrid analog-digital beamforming architecture with resolution-adaptive ADCs for millimeter wave (mmWave) receivers with large antenna arrays. We adopt array response vectors for the analog combiners and derive ADC bit-allocation (BA) solutions in closed form. The BA solutions reveal that the optimal number of ADC bits is logarithmically proportional to the RF chain's signal-to-noise ratio raised to the 1/3 power. Using the solutions, two proposed BA algorithms minimize the mean square quantization error of received analog signals under a total ADC power constraint. Contributions of this paper include 1) ADC bit-allocation algorithms to improve communication performance of a hybrid MIMO receiver, 2) approximation of the capacity with the BA algorithm as a function of channels, and 3) a worst-case analysis of the ergodic rate of the proposed MIMO receiver that quantifies system tradeoffs and serves as the lower bound. Simulation results demonstrate that the BA algorithms outperform a fixed-ADC approach in both spectral and energy efficiency, and validate the capacity and ergodic rate formula. For a power constraint equivalent to that of fixed 4-bit ADCs, the revised BA algorithm makes the quantization error negligible while achieving 22% better energy efficiency. Having negligible quantization error allows existing state-of-the-art digital beamformers to be readily applied to the proposed system. | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON SIGNAL PROCESSING, v.65, no.23, pp.6201 - 6216 | - |
dc.identifier.doi | 10.1109/TSP.2017.2745440 | - |
dc.identifier.issn | 1053-587X | - |
dc.identifier.scopusid | 2-s2.0-85028713484 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/48611 | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/8017448 | - |
dc.identifier.wosid | 000411993200006 | - |
dc.language | 영어 | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Resolution-Adaptive Hybrid MIMO Architectures for Millimeter Wave Communications | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalResearchArea | Engineering | - |
dc.type.docType | Article | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Millimeter wave | - |
dc.subject.keywordAuthor | hybrid MIMO architecture | - |
dc.subject.keywordAuthor | low-resolution ADC | - |
dc.subject.keywordAuthor | bit allocation | - |
dc.subject.keywordAuthor | achievable rate | - |
dc.subject.keywordPlus | MASSIVE MIMO | - |
dc.subject.keywordPlus | CHANNEL ESTIMATION | - |
dc.subject.keywordPlus | SYSTEMS | - |
dc.subject.keywordPlus | CAPACITY | - |
dc.subject.keywordPlus | ANALOG | - |
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