Performance Analysis of Fronthaul Compression in Massive MIMO Receiver
Future generations of cellular systems presume to use an extremely high number of antennas to enable mm waves. Increasing the number of antennas requires a growth in connections between a remote radio head (RRH) and a baseband unit (BBU). Therefore, the traffic load between RRH and BBU has to grow,...
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| creator | Bychkov, Roman Dergachev, Andrey Osinsky, Alexander Lakontsev, Dmitry Ivanov, Andrey |
| description | Future generations of cellular systems presume to use an extremely high
number of antennas to enable mm waves. Increasing the number of antennas
requires a growth in connections between a remote radio head (RRH) and a
baseband unit (BBU). Therefore, the traffic load between RRH and BBU has to
grow, and the compression of interconnection between them becomes a serious
problem. In this paper, we propose a compression scheme to reduce the bitrate
of the fronthaul interface that connects BBU and RRU. Then we justify
compression block size and mantissa length to guarantee the required error
vector magnitude (EVM). The knowledge of propagation channel sparsity and the
condition number of the channel matrix helps to achieve higher compression
ratios without performance loss. Simulation results with a realistic
propagation channel are provided to confirm theoretical derivations. |
| doi_str_mv | 10.48550/arxiv.2407.16478 |
| format | Article |
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number of antennas to enable mm waves. Increasing the number of antennas
requires a growth in connections between a remote radio head (RRH) and a
baseband unit (BBU). Therefore, the traffic load between RRH and BBU has to
grow, and the compression of interconnection between them becomes a serious
problem. In this paper, we propose a compression scheme to reduce the bitrate
of the fronthaul interface that connects BBU and RRU. Then we justify
compression block size and mantissa length to guarantee the required error
vector magnitude (EVM). The knowledge of propagation channel sparsity and the
condition number of the channel matrix helps to achieve higher compression
ratios without performance loss. Simulation results with a realistic
propagation channel are provided to confirm theoretical derivations.</description><identifier>DOI: 10.48550/arxiv.2407.16478</identifier><language>eng</language><subject>Computer Science - Information Theory ; Mathematics - Information Theory</subject><creationdate>2024-07</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>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2407.16478$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2407.16478$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Bychkov, Roman</creatorcontrib><creatorcontrib>Dergachev, Andrey</creatorcontrib><creatorcontrib>Osinsky, Alexander</creatorcontrib><creatorcontrib>Lakontsev, Dmitry</creatorcontrib><creatorcontrib>Ivanov, Andrey</creatorcontrib><title>Performance Analysis of Fronthaul Compression in Massive MIMO Receiver</title><description>Future generations of cellular systems presume to use an extremely high
number of antennas to enable mm waves. Increasing the number of antennas
requires a growth in connections between a remote radio head (RRH) and a
baseband unit (BBU). Therefore, the traffic load between RRH and BBU has to
grow, and the compression of interconnection between them becomes a serious
problem. In this paper, we propose a compression scheme to reduce the bitrate
of the fronthaul interface that connects BBU and RRU. Then we justify
compression block size and mantissa length to guarantee the required error
vector magnitude (EVM). The knowledge of propagation channel sparsity and the
condition number of the channel matrix helps to achieve higher compression
ratios without performance loss. Simulation results with a realistic
propagation channel are provided to confirm theoretical derivations.</description><subject>Computer Science - Information Theory</subject><subject>Mathematics - Information Theory</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNpjYJA0NNAzsTA1NdBPLKrILNMzMjEw1zM0MzG34GRwC0gtSssvyk3MS05VcMxLzKkszixWyE9TcCvKzyvJSCzNUXDOzy0oSi0uzszPU8jMU_BNBDLLUhV8PX39FYJSk1OBnCIeBta0xJziVF4ozc0g7-Ya4uyhC7YxvqAoMzexqDIeZHM82GZjwioAbLM41Q</recordid><startdate>20240723</startdate><enddate>20240723</enddate><creator>Bychkov, Roman</creator><creator>Dergachev, Andrey</creator><creator>Osinsky, Alexander</creator><creator>Lakontsev, Dmitry</creator><creator>Ivanov, Andrey</creator><scope>AKY</scope><scope>AKZ</scope><scope>GOX</scope></search><sort><creationdate>20240723</creationdate><title>Performance Analysis of Fronthaul Compression in Massive MIMO Receiver</title><author>Bychkov, Roman ; Dergachev, Andrey ; Osinsky, Alexander ; Lakontsev, Dmitry ; Ivanov, Andrey</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-arxiv_primary_2407_164783</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Computer Science - Information Theory</topic><topic>Mathematics - Information Theory</topic><toplevel>online_resources</toplevel><creatorcontrib>Bychkov, Roman</creatorcontrib><creatorcontrib>Dergachev, Andrey</creatorcontrib><creatorcontrib>Osinsky, Alexander</creatorcontrib><creatorcontrib>Lakontsev, Dmitry</creatorcontrib><creatorcontrib>Ivanov, Andrey</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>Bychkov, Roman</au><au>Dergachev, Andrey</au><au>Osinsky, Alexander</au><au>Lakontsev, Dmitry</au><au>Ivanov, Andrey</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Performance Analysis of Fronthaul Compression in Massive MIMO Receiver</atitle><date>2024-07-23</date><risdate>2024</risdate><abstract>Future generations of cellular systems presume to use an extremely high
number of antennas to enable mm waves. Increasing the number of antennas
requires a growth in connections between a remote radio head (RRH) and a
baseband unit (BBU). Therefore, the traffic load between RRH and BBU has to
grow, and the compression of interconnection between them becomes a serious
problem. In this paper, we propose a compression scheme to reduce the bitrate
of the fronthaul interface that connects BBU and RRU. Then we justify
compression block size and mantissa length to guarantee the required error
vector magnitude (EVM). The knowledge of propagation channel sparsity and the
condition number of the channel matrix helps to achieve higher compression
ratios without performance loss. Simulation results with a realistic
propagation channel are provided to confirm theoretical derivations.</abstract><doi>10.48550/arxiv.2407.16478</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Computer Science - Information Theory Mathematics - Information Theory |
| title | Performance Analysis of Fronthaul Compression in Massive MIMO Receiver |
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