Quantized Precoding and RIS-Assisted Modulation for Integrated Sensing and Communications Systems
In this paper, we present a novel reconfigurable intelligent surface (RIS)-assisted integrated sensing and communication (ISAC) system with 1-bit quantization at the ISAC base station. An RIS is introduced in the ISAC system to mitigate the effects of coarse quantization and to enable the co-existen...
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| creator | Sankar, R. S. Prasobh Chepuri, Sundeep Prabhakar |
| description | In this paper, we present a novel reconfigurable intelligent surface
(RIS)-assisted integrated sensing and communication (ISAC) system with 1-bit
quantization at the ISAC base station. An RIS is introduced in the ISAC system
to mitigate the effects of coarse quantization and to enable the co-existence
between sensing and communication functionalities. Specifically, we design
transmit precoder to obtain 1-bit sensing waveforms having a desired radiation
pattern. The RIS phase shifts are then designed to modulate the 1-bit sensing
waveform to transmit M-ary phase shift keying symbols to users. Through
numerical simulations, we show that the proposed method offers significantly
improved symbol error probabilities when compared to MIMO communication systems
having quantized linear precoders, while still offering comparable sensing
performance as that of unquantized sensing systems. |
| doi_str_mv | 10.48550/arxiv.2211.01943 |
| format | Article |
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(RIS)-assisted integrated sensing and communication (ISAC) system with 1-bit
quantization at the ISAC base station. An RIS is introduced in the ISAC system
to mitigate the effects of coarse quantization and to enable the co-existence
between sensing and communication functionalities. Specifically, we design
transmit precoder to obtain 1-bit sensing waveforms having a desired radiation
pattern. The RIS phase shifts are then designed to modulate the 1-bit sensing
waveform to transmit M-ary phase shift keying symbols to users. Through
numerical simulations, we show that the proposed method offers significantly
improved symbol error probabilities when compared to MIMO communication systems
having quantized linear precoders, while still offering comparable sensing
performance as that of unquantized sensing systems.</description><identifier>DOI: 10.48550/arxiv.2211.01943</identifier><language>eng</language><subject>Computer Science - Information Theory ; Mathematics - Information Theory</subject><creationdate>2022-11</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,881</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2211.01943$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2211.01943$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Sankar, R. S. Prasobh</creatorcontrib><creatorcontrib>Chepuri, Sundeep Prabhakar</creatorcontrib><title>Quantized Precoding and RIS-Assisted Modulation for Integrated Sensing and Communications Systems</title><description>In this paper, we present a novel reconfigurable intelligent surface
(RIS)-assisted integrated sensing and communication (ISAC) system with 1-bit
quantization at the ISAC base station. An RIS is introduced in the ISAC system
to mitigate the effects of coarse quantization and to enable the co-existence
between sensing and communication functionalities. Specifically, we design
transmit precoder to obtain 1-bit sensing waveforms having a desired radiation
pattern. The RIS phase shifts are then designed to modulate the 1-bit sensing
waveform to transmit M-ary phase shift keying symbols to users. Through
numerical simulations, we show that the proposed method offers significantly
improved symbol error probabilities when compared to MIMO communication systems
having quantized linear precoders, while still offering comparable sensing
performance as that of unquantized sensing systems.</description><subject>Computer Science - Information Theory</subject><subject>Mathematics - Information Theory</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNo1j8lugzAURb3pIkr7AVnVPwD1QAwsI9QBKVUHskePZzuyFExlQ9X060tou7pXuoN0CNlwlmbFdsvuIHy5z1QIzlPGy0yuCLxN4Ef3bTR9DQYH7fyRgtf0vW6SXYwujnP0POjpBKMbPLVDoLUfzTHAJWmMj_-Tauj7yTtcipE253nbx2tyZeEUzc2frsnh4f5QPSX7l8e62u0TULlMUDI01oqOC1WiLrHgkndKd0IJnJ0twBaYy1JZyZkoDWNMKESBORRZnss1uf29XRjbj-B6COf2wtourPIHgjFQHw</recordid><startdate>20221103</startdate><enddate>20221103</enddate><creator>Sankar, R. S. Prasobh</creator><creator>Chepuri, Sundeep Prabhakar</creator><scope>AKY</scope><scope>AKZ</scope><scope>GOX</scope></search><sort><creationdate>20221103</creationdate><title>Quantized Precoding and RIS-Assisted Modulation for Integrated Sensing and Communications Systems</title><author>Sankar, R. S. Prasobh ; Chepuri, Sundeep Prabhakar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a673-c30ceff2b1269cd9c8131b6db262c31bf8af8c7396f31029e00026cc2c7a84773</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Computer Science - Information Theory</topic><topic>Mathematics - Information Theory</topic><toplevel>online_resources</toplevel><creatorcontrib>Sankar, R. S. Prasobh</creatorcontrib><creatorcontrib>Chepuri, Sundeep Prabhakar</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv Mathematics</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Sankar, R. S. Prasobh</au><au>Chepuri, Sundeep Prabhakar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantized Precoding and RIS-Assisted Modulation for Integrated Sensing and Communications Systems</atitle><date>2022-11-03</date><risdate>2022</risdate><abstract>In this paper, we present a novel reconfigurable intelligent surface
(RIS)-assisted integrated sensing and communication (ISAC) system with 1-bit
quantization at the ISAC base station. An RIS is introduced in the ISAC system
to mitigate the effects of coarse quantization and to enable the co-existence
between sensing and communication functionalities. Specifically, we design
transmit precoder to obtain 1-bit sensing waveforms having a desired radiation
pattern. The RIS phase shifts are then designed to modulate the 1-bit sensing
waveform to transmit M-ary phase shift keying symbols to users. Through
numerical simulations, we show that the proposed method offers significantly
improved symbol error probabilities when compared to MIMO communication systems
having quantized linear precoders, while still offering comparable sensing
performance as that of unquantized sensing systems.</abstract><doi>10.48550/arxiv.2211.01943</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Computer Science - Information Theory Mathematics - Information Theory |
| title | Quantized Precoding and RIS-Assisted Modulation for Integrated Sensing and Communications Systems |
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