Sample-Efficient Spatio-Spectral Whitespace Detection Using Least Matching Pursuit
Multi-antenna wireless communication improves spectral efficiency by reusing frequencies at different locations in space using beamforming and spatial multiplexing. In the past, research has extensively focused on dynamically reusing unused frequency bands to optimize spectrum usage, but methods tha...
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| Veröffentlicht in: | IEEE access 2021, Vol.9, p.138394-138402 |
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| creator | Gonultas, Emre Soni, Sweta Apsel, Alyssa B. Studer, Christoph |
| description | Multi-antenna wireless communication improves spectral efficiency by reusing frequencies at different locations in space using beamforming and spatial multiplexing. In the past, research has extensively focused on dynamically reusing unused frequency bands to optimize spectrum usage, but methods that identify unused resources in space appear to be unexplored. In this paper, we propose a sample-efficient whitespace detection pipeline for multi-antenna radio-frequency (RF) transceivers that detects unused resources in both frequency and space. Our spatio-spectral whitespace detection pipeline relies on multi-antenna nonuniform wavelet sampling, which identifies unused frequencies in space at sub-Nyquist sampling rates. We demonstrate the efficacy of our approach via system simulations and show that reliable spatio-spectral whitespace detection is possible with 16 \times lower sampling rates than methods relying on Nyquist sampling. |
| doi_str_mv | 10.1109/ACCESS.2021.3117255 |
| format | Article |
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In the past, research has extensively focused on dynamically reusing unused frequency bands to optimize spectrum usage, but methods that identify unused resources in space appear to be unexplored. In this paper, we propose a sample-efficient whitespace detection pipeline for multi-antenna radio-frequency (RF) transceivers that detects unused resources in both frequency and space. Our spatio-spectral whitespace detection pipeline relies on multi-antenna nonuniform wavelet sampling, which identifies unused frequencies in space at sub-Nyquist sampling rates. We demonstrate the efficacy of our approach via system simulations and show that reliable spatio-spectral whitespace detection is possible with <inline-formula> <tex-math notation="LaTeX">16 \times </tex-math></inline-formula> lower sampling rates than methods relying on Nyquist sampling.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2021.3117255</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Antennas ; Beamforming ; Coherence ; compressive sensing (CS) ; Frequency modulation ; least matching pursuit (LMP) ; Matched pursuit ; Matching pursuit algorithms ; multi-antenna communication ; Multiplexing ; nonuniform wavelet sampling (NUWS) ; Radio frequency ; Receiving antennas ; Sampling ; Sensors ; spatio-spectral sensing ; Spectra ; Transceivers ; Transmitting antennas ; whitespace detection ; Wireless communication ; Wireless communications</subject><ispartof>IEEE access, 2021, Vol.9, p.138394-138402</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c358t-aa65be3b0c6212189af0e3693cf7a7bb1c1fd34795c01de3a318871fa1c8524c3</cites><orcidid>0000-0003-1863-758X ; 0000-0002-6071-9450 ; 0000-0001-9199-2292 ; 0000-0001-8950-6267</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9557288$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,864,2102,4024,27633,27923,27924,27925,54933</link.rule.ids></links><search><creatorcontrib>Gonultas, Emre</creatorcontrib><creatorcontrib>Soni, Sweta</creatorcontrib><creatorcontrib>Apsel, Alyssa B.</creatorcontrib><creatorcontrib>Studer, Christoph</creatorcontrib><title>Sample-Efficient Spatio-Spectral Whitespace Detection Using Least Matching Pursuit</title><title>IEEE access</title><addtitle>Access</addtitle><description>Multi-antenna wireless communication improves spectral efficiency by reusing frequencies at different locations in space using beamforming and spatial multiplexing. In the past, research has extensively focused on dynamically reusing unused frequency bands to optimize spectrum usage, but methods that identify unused resources in space appear to be unexplored. In this paper, we propose a sample-efficient whitespace detection pipeline for multi-antenna radio-frequency (RF) transceivers that detects unused resources in both frequency and space. Our spatio-spectral whitespace detection pipeline relies on multi-antenna nonuniform wavelet sampling, which identifies unused frequencies in space at sub-Nyquist sampling rates. We demonstrate the efficacy of our approach via system simulations and show that reliable spatio-spectral whitespace detection is possible with <inline-formula> <tex-math notation="LaTeX">16 \times </tex-math></inline-formula> lower sampling rates than methods relying on Nyquist sampling.</description><subject>Antennas</subject><subject>Beamforming</subject><subject>Coherence</subject><subject>compressive sensing (CS)</subject><subject>Frequency modulation</subject><subject>least matching pursuit (LMP)</subject><subject>Matched pursuit</subject><subject>Matching pursuit algorithms</subject><subject>multi-antenna communication</subject><subject>Multiplexing</subject><subject>nonuniform wavelet sampling (NUWS)</subject><subject>Radio frequency</subject><subject>Receiving antennas</subject><subject>Sampling</subject><subject>Sensors</subject><subject>spatio-spectral sensing</subject><subject>Spectra</subject><subject>Transceivers</subject><subject>Transmitting antennas</subject><subject>whitespace detection</subject><subject>Wireless communication</subject><subject>Wireless communications</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNUU1LAzEQXURBUX-BlwXPWzNJs0mOUusHVBRX8Rhm04mm1O6apAf_vVtXxLnMzOO9NwOvKM6ATQCYubiczeZNM-GMw0QAKC7lXnHEoTaVkKLe_zcfFqcprdhQeoCkOiqeGvzo11TNvQ8u0CaXTY85dFXTk8sR1-Xre8iUenRUXlEewNBtypcUNm_lgjDl8h6ze9-tj9uYtiGfFAce14lOf_tx8XI9f57dVouHm7vZ5aJyQupcIdayJdEyV3PgoA16RqI2wnmFqm3BgV-KqTLSMViSQAFaK_AITks-deK4uBt9lx2ubB_DB8Yv22GwP0AX3yzGHNyaLOGgaWvGGampqBGdgVYrMp4MakOD1_no1cfuc0sp21W3jZvhfcul5nxaS60GlhhZLnYpRfJ_V4HZXRZ2zMLusrC_WQyqs1EViOhPYaRUXGvxDf4DhTg</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Gonultas, Emre</creator><creator>Soni, Sweta</creator><creator>Apsel, Alyssa B.</creator><creator>Studer, Christoph</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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In the past, research has extensively focused on dynamically reusing unused frequency bands to optimize spectrum usage, but methods that identify unused resources in space appear to be unexplored. In this paper, we propose a sample-efficient whitespace detection pipeline for multi-antenna radio-frequency (RF) transceivers that detects unused resources in both frequency and space. Our spatio-spectral whitespace detection pipeline relies on multi-antenna nonuniform wavelet sampling, which identifies unused frequencies in space at sub-Nyquist sampling rates. 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| source | IEEE Open Access Journals; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals |
| subjects | Antennas Beamforming Coherence compressive sensing (CS) Frequency modulation least matching pursuit (LMP) Matched pursuit Matching pursuit algorithms multi-antenna communication Multiplexing nonuniform wavelet sampling (NUWS) Radio frequency Receiving antennas Sampling Sensors spatio-spectral sensing Spectra Transceivers Transmitting antennas whitespace detection Wireless communication Wireless communications |
| title | Sample-Efficient Spatio-Spectral Whitespace Detection Using Least Matching Pursuit |
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