Analysis of Massive MIMO With Low-Resolution ADC in Nakagami- Fading
The uplink of multi-user massive multi-input-multi-output systems, in which the base station is equipped with a low-resolution analog-to-digital converter architecture, is considered in this letter. All the channels are assumed to undergo independent and nonidentically distributed Nakagami- m fadin...
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| Veröffentlicht in: | IEEE communications letters 2019-04, Vol.23 (4), p.764-767 |
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| creator | Srinivasan, Muralikrishnan Kalyani, Sheetal |
| description | The uplink of multi-user massive multi-input-multi-output systems, in which the base station is equipped with a low-resolution analog-to-digital converter architecture, is considered in this letter. All the channels are assumed to undergo independent and nonidentically distributed Nakagami- m fading. By means of moment matching, the signal-to-interference-plus-quantization-noise ratio at the output of maximum ratio combiner is approximated by a gamma random variable. Using this approximate probability density function, tight approximations for metrics, such as outage probability and rate, are derived. The gap between the simulation and the approximate result is negligible. In addition, for a large number of antennas, a decrease in the number of antennas should be accompanied by a proportionate decrease in the threshold to maintain the same outage probability. |
| doi_str_mv | 10.1109/LCOMM.2019.2899090 |
| format | Article |
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In addition, for a large number of antennas, a decrease in the number of antennas should be accompanied by a proportionate decrease in the threshold to maintain the same outage probability.</description><identifier>ISSN: 1089-7798</identifier><identifier>EISSN: 1558-2558</identifier><identifier>DOI: 10.1109/LCOMM.2019.2899090</identifier><identifier>CODEN: ICLEF6</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>ADC ; Analog to digital conversion ; Analog to digital converters ; Antennas ; Fading ; Fading channels ; Gamma distribution ; massive MIMO ; MIMO communication ; Nakagami fading ; outage probability ; Probability density functions ; Quantization (signal) ; Random variables ; rate ; Uplink ; Zinc</subject><ispartof>IEEE communications letters, 2019-04, Vol.23 (4), p.764-767</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c1408-383e4fac174663ca99d161eafa4993cedf0fd73701baca85e3ac046ae93718553</citedby><cites>FETCH-LOGICAL-c1408-383e4fac174663ca99d161eafa4993cedf0fd73701baca85e3ac046ae93718553</cites><orcidid>0000-0002-1530-0140 ; 0000-0002-7569-2182</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8640825$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8640825$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Srinivasan, Muralikrishnan</creatorcontrib><creatorcontrib>Kalyani, Sheetal</creatorcontrib><title>Analysis of Massive MIMO With Low-Resolution ADC in Nakagami- Fading</title><title>IEEE communications letters</title><addtitle>COML</addtitle><description>The uplink of multi-user massive multi-input-multi-output systems, in which the base station is equipped with a low-resolution analog-to-digital converter architecture, is considered in this letter. All the channels are assumed to undergo independent and nonidentically distributed Nakagami-<inline-formula> <tex-math notation="LaTeX">m </tex-math></inline-formula> fading. By means of moment matching, the signal-to-interference-plus-quantization-noise ratio at the output of maximum ratio combiner is approximated by a gamma random variable. Using this approximate probability density function, tight approximations for metrics, such as outage probability and rate, are derived. The gap between the simulation and the approximate result is negligible. In addition, for a large number of antennas, a decrease in the number of antennas should be accompanied by a proportionate decrease in the threshold to maintain the same outage probability.</description><subject>ADC</subject><subject>Analog to digital conversion</subject><subject>Analog to digital converters</subject><subject>Antennas</subject><subject>Fading</subject><subject>Fading channels</subject><subject>Gamma distribution</subject><subject>massive MIMO</subject><subject>MIMO communication</subject><subject>Nakagami fading</subject><subject>outage probability</subject><subject>Probability density functions</subject><subject>Quantization (signal)</subject><subject>Random variables</subject><subject>rate</subject><subject>Uplink</subject><subject>Zinc</subject><issn>1089-7798</issn><issn>1558-2558</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kMFOwkAQhjdGExF9Ab1s4rk40-22u0dSRElaSYzG42Zst7gILXaLhre3CPEyM4f_m-T_GLtGGCGCvsvSeZ6PQkA9CpXWoOGEDVBKFYT9OO1vUDpIEq3O2YX3SwBQocQBm4xrWu2887ypeE7eu2_L81k-52-u--BZ8xM8W9-stp1raj6epNzV_Ik-aUFrF_Apla5eXLKzilbeXh33kL1O71_SxyCbP8zScRYUGIEKhBI2qqjAJIpjUZDWJcZoqaJIa1HYsoKqTEQC-E4FKWkFFRDFZLVIUEkphuz28HfTNl9b6zuzbLZtX8CbMEQAlH3NPhUeUkXbeN_aymxat6Z2ZxDM3pb5s2X2tszRVg_dHCBnrf0HVBztPYlfiEVj6Q</recordid><startdate>201904</startdate><enddate>201904</enddate><creator>Srinivasan, Muralikrishnan</creator><creator>Kalyani, Sheetal</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-1530-0140</orcidid><orcidid>https://orcid.org/0000-0002-7569-2182</orcidid></search><sort><creationdate>201904</creationdate><title>Analysis of Massive MIMO With Low-Resolution ADC in Nakagami- Fading</title><author>Srinivasan, Muralikrishnan ; Kalyani, Sheetal</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1408-383e4fac174663ca99d161eafa4993cedf0fd73701baca85e3ac046ae93718553</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>ADC</topic><topic>Analog to digital conversion</topic><topic>Analog to digital converters</topic><topic>Antennas</topic><topic>Fading</topic><topic>Fading channels</topic><topic>Gamma distribution</topic><topic>massive MIMO</topic><topic>MIMO communication</topic><topic>Nakagami fading</topic><topic>outage probability</topic><topic>Probability density functions</topic><topic>Quantization (signal)</topic><topic>Random variables</topic><topic>rate</topic><topic>Uplink</topic><topic>Zinc</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Srinivasan, Muralikrishnan</creatorcontrib><creatorcontrib>Kalyani, Sheetal</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE communications letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Srinivasan, Muralikrishnan</au><au>Kalyani, Sheetal</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of Massive MIMO With Low-Resolution ADC in Nakagami- Fading</atitle><jtitle>IEEE communications letters</jtitle><stitle>COML</stitle><date>2019-04</date><risdate>2019</risdate><volume>23</volume><issue>4</issue><spage>764</spage><epage>767</epage><pages>764-767</pages><issn>1089-7798</issn><eissn>1558-2558</eissn><coden>ICLEF6</coden><abstract>The uplink of multi-user massive multi-input-multi-output systems, in which the base station is equipped with a low-resolution analog-to-digital converter architecture, is considered in this letter. All the channels are assumed to undergo independent and nonidentically distributed Nakagami-<inline-formula> <tex-math notation="LaTeX">m </tex-math></inline-formula> fading. By means of moment matching, the signal-to-interference-plus-quantization-noise ratio at the output of maximum ratio combiner is approximated by a gamma random variable. Using this approximate probability density function, tight approximations for metrics, such as outage probability and rate, are derived. The gap between the simulation and the approximate result is negligible. In addition, for a large number of antennas, a decrease in the number of antennas should be accompanied by a proportionate decrease in the threshold to maintain the same outage probability.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/LCOMM.2019.2899090</doi><tpages>4</tpages><orcidid>https://orcid.org/0000-0002-1530-0140</orcidid><orcidid>https://orcid.org/0000-0002-7569-2182</orcidid></addata></record> |
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| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | ADC Analog to digital conversion Analog to digital converters Antennas Fading Fading channels Gamma distribution massive MIMO MIMO communication Nakagami fading outage probability Probability density functions Quantization (signal) Random variables rate Uplink Zinc |
| title | Analysis of Massive MIMO With Low-Resolution ADC in Nakagami- Fading |
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