Matches in SemOpenAlex for { <https://semopenalex.org/work/W3176826312> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W3176826312 endingPage "101402" @default.
- W3176826312 startingPage "101402" @default.
- W3176826312 abstract "This paper studies the problem of linear precoding for multiple-input multiple-output (MIMO) communication channels employing finite-alphabet signaling. Existing solutions typically suffer from high computational complexity due to costly computations of the constellation-constrained mutual information. In contrast to existing works, this paper takes a different path of tackling the MIMO precoding problem. Namely, a data-driven approach, based on deep learning, is proposed. In the offline training phase, a deep neural network learns the optimal solution on a set of MIMO channel matrices. This allows the reduction of the computational complexity of the precoder optimization in the online inference phase. Numerical results demonstrate the efficiency of the proposed solution vis-à-vis existing precoding algorithms in terms of significantly reduced complexity and close-to-optimal performance." @default.
- W3176826312 created "2021-07-05" @default.
- W3176826312 creator A5025709683 @default.
- W3176826312 date "2021-10-01" @default.
- W3176826312 modified "2023-10-17" @default.
- W3176826312 title "Deep-learning based linear precoding for MIMO channels with finite-alphabet signaling" @default.
- W3176826312 cites W1498436455 @default.
- W3176826312 cites W1969811075 @default.
- W3176826312 cites W1974725834 @default.
- W3176826312 cites W2097695636 @default.
- W3176826312 cites W2103496339 @default.
- W3176826312 cites W2115780024 @default.
- W3176826312 cites W2120248756 @default.
- W3176826312 cites W2130509920 @default.
- W3176826312 cites W2140684029 @default.
- W3176826312 cites W2147431204 @default.
- W3176826312 cites W2167455364 @default.
- W3176826312 cites W2170833470 @default.
- W3176826312 cites W2616867685 @default.
- W3176826312 cites W2736068844 @default.
- W3176826312 cites W2946835039 @default.
- W3176826312 cites W2963145597 @default.
- W3176826312 cites W3035449691 @default.
- W3176826312 cites W3046188540 @default.
- W3176826312 cites W3104804153 @default.
- W3176826312 doi "https://doi.org/10.1016/j.phycom.2021.101402" @default.
- W3176826312 hasPublicationYear "2021" @default.
- W3176826312 type Work @default.
- W3176826312 sameAs 3176826312 @default.
- W3176826312 citedByCount "1" @default.
- W3176826312 countsByYear W31768263122022 @default.
- W3176826312 crossrefType "journal-article" @default.
- W3176826312 hasAuthorship W3176826312A5025709683 @default.
- W3176826312 hasBestOaLocation W31768263122 @default.
- W3176826312 hasConcept C111335779 @default.
- W3176826312 hasConcept C11413529 @default.
- W3176826312 hasConcept C126255220 @default.
- W3176826312 hasConcept C127162648 @default.
- W3176826312 hasConcept C160562895 @default.
- W3176826312 hasConcept C179799912 @default.
- W3176826312 hasConcept C207987634 @default.
- W3176826312 hasConcept C2524010 @default.
- W3176826312 hasConcept C33923547 @default.
- W3176826312 hasConcept C41008148 @default.
- W3176826312 hasConcept C76155785 @default.
- W3176826312 hasConceptScore W3176826312C111335779 @default.
- W3176826312 hasConceptScore W3176826312C11413529 @default.
- W3176826312 hasConceptScore W3176826312C126255220 @default.
- W3176826312 hasConceptScore W3176826312C127162648 @default.
- W3176826312 hasConceptScore W3176826312C160562895 @default.
- W3176826312 hasConceptScore W3176826312C179799912 @default.
- W3176826312 hasConceptScore W3176826312C207987634 @default.
- W3176826312 hasConceptScore W3176826312C2524010 @default.
- W3176826312 hasConceptScore W3176826312C33923547 @default.
- W3176826312 hasConceptScore W3176826312C41008148 @default.
- W3176826312 hasConceptScore W3176826312C76155785 @default.
- W3176826312 hasLocation W31768263121 @default.
- W3176826312 hasLocation W31768263122 @default.
- W3176826312 hasOpenAccess W3176826312 @default.
- W3176826312 hasPrimaryLocation W31768263121 @default.
- W3176826312 hasRelatedWork W1994101569 @default.
- W3176826312 hasRelatedWork W1994872068 @default.
- W3176826312 hasRelatedWork W2085336733 @default.
- W3176826312 hasRelatedWork W2112089768 @default.
- W3176826312 hasRelatedWork W2349797545 @default.
- W3176826312 hasRelatedWork W2520396890 @default.
- W3176826312 hasRelatedWork W2545312192 @default.
- W3176826312 hasRelatedWork W2558290738 @default.
- W3176826312 hasRelatedWork W3004680695 @default.
- W3176826312 hasRelatedWork W4293868361 @default.
- W3176826312 hasVolume "48" @default.
- W3176826312 isParatext "false" @default.
- W3176826312 isRetracted "false" @default.
- W3176826312 magId "3176826312" @default.
- W3176826312 workType "article" @default.