Balancing backhaul load in heterogeneous cloud radio access networks

Inspired by the explosive growth of mobile data traffic, the severe inter-tier interference, and the fierce competition between the total cost of ownership and revenues for mobile operators, the heterogeneous cloud radio access network (H-CRAN) has been proposed as one of the most prominent ways to...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE wireless communications 2015-06, Vol.22 (3), p.42-48
Hauptverfasser: Ran, Chen, Wang, Shaowei, Wang, Chonggang
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 48
container_issue 3
container_start_page 42
container_title IEEE wireless communications
container_volume 22
creator Ran, Chen
Wang, Shaowei
Wang, Chonggang
description Inspired by the explosive growth of mobile data traffic, the severe inter-tier interference, and the fierce competition between the total cost of ownership and revenues for mobile operators, the heterogeneous cloud radio access network (H-CRAN) has been proposed as one of the most prominent ways to handle these challenges. The key idea of the H-CRAN is incorporating cloud computing into a heterogeneous network (HetNet) to enhance coordinated multipoint transmission and reception, cooperative radio resource management, and self-organizing networks, which improve both spectral and energy efficiencies of cellular systems. One of the most critical challenges that hinder the implementation of the H-CRAN is the high transmission demand on the backhauls between the baseband unit (BBU) pool and remote radio heads (RRHs). In this article we suggest that we can balance the workload of different RRHs to alleviate the pressure on the transmission links. Our proposed method is different from but compatible with existing compression techniques that have been widely investigated in the literature to lighten the transmission burden of the backhauls. We also describe the technical challenges in existence during the implementation of our proposal and give preliminary ideas of how to address them.
doi_str_mv 10.1109/MWC.2015.7143325
format Article
fullrecord <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_crossref_primary_10_1109_MWC_2015_7143325</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>7143325</ieee_id><sourcerecordid>3736745381</sourcerecordid><originalsourceid>FETCH-LOGICAL-c357t-ed2124712101eaf84a8db1fd9e420abe95779d5b3b5055675b013bf5b3a5ccdb3</originalsourceid><addsrcrecordid>eNo9kE1PwzAMhiMEEmNwR-ISiXNHnDZJe4TxKQ1xAXGM8uFu3UoDSSvEv6fTBidb9vPa0kPIObAZAKuunt_nM85AzBQUec7FAZmAEGXGZKkOt30uM-BlcUxOUlozBkoKOSG3N6Y1nWu6JbXGbVZmaGkbjKdNR1fYYwxL7DAMibo2DJ5G45tAjXOYEu2w_w5xk07JUW3ahGf7OiVv93ev88ds8fLwNL9eZC4Xqs_Qc-CFAg4M0NRlYUpvofYVFpwZi5VQqvLC5lYwIaQSlkFu63FghHPe5lNyubv7GcPXgKnX6zDEbnypQVaF5FKV1UixHeViSClirT9j82Hijwamt6706EpvXem9qzFysYs0iPiP_21_AfzoZQU</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1694626789</pqid></control><display><type>article</type><title>Balancing backhaul load in heterogeneous cloud radio access networks</title><source>IEEE Electronic Library (IEL)</source><creator>Ran, Chen ; Wang, Shaowei ; Wang, Chonggang</creator><creatorcontrib>Ran, Chen ; Wang, Shaowei ; Wang, Chonggang</creatorcontrib><description>Inspired by the explosive growth of mobile data traffic, the severe inter-tier interference, and the fierce competition between the total cost of ownership and revenues for mobile operators, the heterogeneous cloud radio access network (H-CRAN) has been proposed as one of the most prominent ways to handle these challenges. The key idea of the H-CRAN is incorporating cloud computing into a heterogeneous network (HetNet) to enhance coordinated multipoint transmission and reception, cooperative radio resource management, and self-organizing networks, which improve both spectral and energy efficiencies of cellular systems. One of the most critical challenges that hinder the implementation of the H-CRAN is the high transmission demand on the backhauls between the baseband unit (BBU) pool and remote radio heads (RRHs). In this article we suggest that we can balance the workload of different RRHs to alleviate the pressure on the transmission links. Our proposed method is different from but compatible with existing compression techniques that have been widely investigated in the literature to lighten the transmission burden of the backhauls. We also describe the technical challenges in existence during the implementation of our proposal and give preliminary ideas of how to address them.</description><identifier>ISSN: 1536-1284</identifier><identifier>EISSN: 1558-0687</identifier><identifier>DOI: 10.1109/MWC.2015.7143325</identifier><identifier>CODEN: IWCEAS</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Bandwidth ; Cloud computing ; Computer architecture ; Data communication ; Interference ; Radio access networks ; Radio frequency ; Telecommunications industry</subject><ispartof>IEEE wireless communications, 2015-06, Vol.22 (3), p.42-48</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Jun 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c357t-ed2124712101eaf84a8db1fd9e420abe95779d5b3b5055675b013bf5b3a5ccdb3</citedby><cites>FETCH-LOGICAL-c357t-ed2124712101eaf84a8db1fd9e420abe95779d5b3b5055675b013bf5b3a5ccdb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7143325$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7143325$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Ran, Chen</creatorcontrib><creatorcontrib>Wang, Shaowei</creatorcontrib><creatorcontrib>Wang, Chonggang</creatorcontrib><title>Balancing backhaul load in heterogeneous cloud radio access networks</title><title>IEEE wireless communications</title><addtitle>WC-M</addtitle><description>Inspired by the explosive growth of mobile data traffic, the severe inter-tier interference, and the fierce competition between the total cost of ownership and revenues for mobile operators, the heterogeneous cloud radio access network (H-CRAN) has been proposed as one of the most prominent ways to handle these challenges. The key idea of the H-CRAN is incorporating cloud computing into a heterogeneous network (HetNet) to enhance coordinated multipoint transmission and reception, cooperative radio resource management, and self-organizing networks, which improve both spectral and energy efficiencies of cellular systems. One of the most critical challenges that hinder the implementation of the H-CRAN is the high transmission demand on the backhauls between the baseband unit (BBU) pool and remote radio heads (RRHs). In this article we suggest that we can balance the workload of different RRHs to alleviate the pressure on the transmission links. Our proposed method is different from but compatible with existing compression techniques that have been widely investigated in the literature to lighten the transmission burden of the backhauls. We also describe the technical challenges in existence during the implementation of our proposal and give preliminary ideas of how to address them.</description><subject>Bandwidth</subject><subject>Cloud computing</subject><subject>Computer architecture</subject><subject>Data communication</subject><subject>Interference</subject><subject>Radio access networks</subject><subject>Radio frequency</subject><subject>Telecommunications industry</subject><issn>1536-1284</issn><issn>1558-0687</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1PwzAMhiMEEmNwR-ISiXNHnDZJe4TxKQ1xAXGM8uFu3UoDSSvEv6fTBidb9vPa0kPIObAZAKuunt_nM85AzBQUec7FAZmAEGXGZKkOt30uM-BlcUxOUlozBkoKOSG3N6Y1nWu6JbXGbVZmaGkbjKdNR1fYYwxL7DAMibo2DJ5G45tAjXOYEu2w_w5xk07JUW3ahGf7OiVv93ev88ds8fLwNL9eZC4Xqs_Qc-CFAg4M0NRlYUpvofYVFpwZi5VQqvLC5lYwIaQSlkFu63FghHPe5lNyubv7GcPXgKnX6zDEbnypQVaF5FKV1UixHeViSClirT9j82Hijwamt6706EpvXem9qzFysYs0iPiP_21_AfzoZQU</recordid><startdate>201506</startdate><enddate>201506</enddate><creator>Ran, Chen</creator><creator>Wang, Shaowei</creator><creator>Wang, Chonggang</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>F28</scope><scope>FR3</scope><scope>L7M</scope></search><sort><creationdate>201506</creationdate><title>Balancing backhaul load in heterogeneous cloud radio access networks</title><author>Ran, Chen ; Wang, Shaowei ; Wang, Chonggang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c357t-ed2124712101eaf84a8db1fd9e420abe95779d5b3b5055675b013bf5b3a5ccdb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Bandwidth</topic><topic>Cloud computing</topic><topic>Computer architecture</topic><topic>Data communication</topic><topic>Interference</topic><topic>Radio access networks</topic><topic>Radio frequency</topic><topic>Telecommunications industry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ran, Chen</creatorcontrib><creatorcontrib>Wang, Shaowei</creatorcontrib><creatorcontrib>Wang, Chonggang</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 &amp; Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Engineering Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE wireless communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ran, Chen</au><au>Wang, Shaowei</au><au>Wang, Chonggang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Balancing backhaul load in heterogeneous cloud radio access networks</atitle><jtitle>IEEE wireless communications</jtitle><stitle>WC-M</stitle><date>2015-06</date><risdate>2015</risdate><volume>22</volume><issue>3</issue><spage>42</spage><epage>48</epage><pages>42-48</pages><issn>1536-1284</issn><eissn>1558-0687</eissn><coden>IWCEAS</coden><abstract>Inspired by the explosive growth of mobile data traffic, the severe inter-tier interference, and the fierce competition between the total cost of ownership and revenues for mobile operators, the heterogeneous cloud radio access network (H-CRAN) has been proposed as one of the most prominent ways to handle these challenges. The key idea of the H-CRAN is incorporating cloud computing into a heterogeneous network (HetNet) to enhance coordinated multipoint transmission and reception, cooperative radio resource management, and self-organizing networks, which improve both spectral and energy efficiencies of cellular systems. One of the most critical challenges that hinder the implementation of the H-CRAN is the high transmission demand on the backhauls between the baseband unit (BBU) pool and remote radio heads (RRHs). In this article we suggest that we can balance the workload of different RRHs to alleviate the pressure on the transmission links. Our proposed method is different from but compatible with existing compression techniques that have been widely investigated in the literature to lighten the transmission burden of the backhauls. We also describe the technical challenges in existence during the implementation of our proposal and give preliminary ideas of how to address them.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/MWC.2015.7143325</doi><tpages>7</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 1536-1284
ispartof IEEE wireless communications, 2015-06, Vol.22 (3), p.42-48
issn 1536-1284
1558-0687
language eng
recordid cdi_crossref_primary_10_1109_MWC_2015_7143325
source IEEE Electronic Library (IEL)
subjects Bandwidth
Cloud computing
Computer architecture
Data communication
Interference
Radio access networks
Radio frequency
Telecommunications industry
title Balancing backhaul load in heterogeneous cloud radio access networks
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T15%3A38%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Balancing%20backhaul%20load%20in%20heterogeneous%20cloud%20radio%20access%20networks&rft.jtitle=IEEE%20wireless%20communications&rft.au=Ran,%20Chen&rft.date=2015-06&rft.volume=22&rft.issue=3&rft.spage=42&rft.epage=48&rft.pages=42-48&rft.issn=1536-1284&rft.eissn=1558-0687&rft.coden=IWCEAS&rft_id=info:doi/10.1109/MWC.2015.7143325&rft_dat=%3Cproquest_RIE%3E3736745381%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1694626789&rft_id=info:pmid/&rft_ieee_id=7143325&rfr_iscdi=true