Interference-Aware Energy Efficiency Maximization in 5G Ultra-Dense Networks
Ultra-dense networks can further improve the spectrum efficiency (SE) and the energy efficiency (EE). However, the interference avoidance and the green design are becoming more complex due to the intrinsic densification and scalability. It is known that the much denser small cells are deployed, the...
Gespeichert in:
| Veröffentlicht in: | IEEE transactions on communications 2017-02, Vol.65 (2), p.728-739 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 739 |
|---|---|
| container_issue | 2 |
| container_start_page | 728 |
| container_title | IEEE transactions on communications |
| container_volume | 65 |
| creator | Chungang Yang Jiandong Li Qiang Ni Anpalagan, Alagan Guizani, Mohsen |
| description | Ultra-dense networks can further improve the spectrum efficiency (SE) and the energy efficiency (EE). However, the interference avoidance and the green design are becoming more complex due to the intrinsic densification and scalability. It is known that the much denser small cells are deployed, the more cooperation opportunities exist among them. In this paper, we characterize the cooperative behaviors in the Nash bargaining cooperative game-theoretic framework, where we maximize the EE performance with a certain sacrifice of SE performance. We first analyze the relationship between the EE and the SE, based on which we formulate the Nash-product EE maximization problem. We achieve the closed-form sub-optimal SE equilibria to maximize the EE performance with and without the minimum SE constraints. We finally propose a CE2MG algorithm, and numerical results verify the improved EE and fairness of the presented CE2MG algorithm compared with the non-cooperative scheme. |
| doi_str_mv | 10.1109/TCOMM.2016.2638906 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_journals_1869404333</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>7782396</ieee_id><sourcerecordid>1869404333</sourcerecordid><originalsourceid>FETCH-LOGICAL-c339t-789791282c4307d39ad6e6cabf809838b5f92e6489b37a83c46cfce3ea33a0d3</originalsourceid><addsrcrecordid>eNo9kMFOAjEQhhujiYi-gF428bw43dnttkeCiCQgFzw3pUxNEXaxXYL49C5CnMskk_n-P_kYu-fQ4xzU03wwm057GXDRywRKBeKCdXhRyBRkUV6yDoCCVJSlvGY3Ma4AIAfEDpuMq4aCo0CVpbS_N4GSYUXh45AMnfPWt_dDMjXffuN_TOPrKvFVUoyS93UTTPpMVaTkjZp9HT7jLbtyZh3p7ry7bP4ynA9e08lsNB70J6lFVE1aSlUqnsnM5gjlEpVZChLWLJwEJVEuCqcyErlUCyyNRJsL6ywhGUQDS-yyx1PsNtRfO4qNXtW7ULWNmkuhcsixnS7LTl821DEGcnob_MaEg-agj9L0nzR9lKbP0lro4QR5IvoHWm0ZKoG_PzdoAA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1869404333</pqid></control><display><type>article</type><title>Interference-Aware Energy Efficiency Maximization in 5G Ultra-Dense Networks</title><source>IEEE Electronic Library (IEL)</source><creator>Chungang Yang ; Jiandong Li ; Qiang Ni ; Anpalagan, Alagan ; Guizani, Mohsen</creator><creatorcontrib>Chungang Yang ; Jiandong Li ; Qiang Ni ; Anpalagan, Alagan ; Guizani, Mohsen</creatorcontrib><description>Ultra-dense networks can further improve the spectrum efficiency (SE) and the energy efficiency (EE). However, the interference avoidance and the green design are becoming more complex due to the intrinsic densification and scalability. It is known that the much denser small cells are deployed, the more cooperation opportunities exist among them. In this paper, we characterize the cooperative behaviors in the Nash bargaining cooperative game-theoretic framework, where we maximize the EE performance with a certain sacrifice of SE performance. We first analyze the relationship between the EE and the SE, based on which we formulate the Nash-product EE maximization problem. We achieve the closed-form sub-optimal SE equilibria to maximize the EE performance with and without the minimum SE constraints. We finally propose a CE2MG algorithm, and numerical results verify the improved EE and fairness of the presented CE2MG algorithm compared with the non-cooperative scheme.</description><identifier>ISSN: 0090-6778</identifier><identifier>EISSN: 1558-0857</identifier><identifier>DOI: 10.1109/TCOMM.2016.2638906</identifier><identifier>CODEN: IECMBT</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>5G mobile communication ; Cooperative game ; Densification ; Downlink ; Economic models ; Energy efficiency ; energy efficiency (EE) ; Game theory ; Games ; Interference ; Maximization ; Optimization ; Power efficiency ; Resource management ; spectrum efficiency (SE) ; ultra-dense networks</subject><ispartof>IEEE transactions on communications, 2017-02, Vol.65 (2), p.728-739</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c339t-789791282c4307d39ad6e6cabf809838b5f92e6489b37a83c46cfce3ea33a0d3</citedby><cites>FETCH-LOGICAL-c339t-789791282c4307d39ad6e6cabf809838b5f92e6489b37a83c46cfce3ea33a0d3</cites><orcidid>0000-0002-8972-8094 ; 0000-0002-4593-1656</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7782396$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7782396$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Chungang Yang</creatorcontrib><creatorcontrib>Jiandong Li</creatorcontrib><creatorcontrib>Qiang Ni</creatorcontrib><creatorcontrib>Anpalagan, Alagan</creatorcontrib><creatorcontrib>Guizani, Mohsen</creatorcontrib><title>Interference-Aware Energy Efficiency Maximization in 5G Ultra-Dense Networks</title><title>IEEE transactions on communications</title><addtitle>TCOMM</addtitle><description>Ultra-dense networks can further improve the spectrum efficiency (SE) and the energy efficiency (EE). However, the interference avoidance and the green design are becoming more complex due to the intrinsic densification and scalability. It is known that the much denser small cells are deployed, the more cooperation opportunities exist among them. In this paper, we characterize the cooperative behaviors in the Nash bargaining cooperative game-theoretic framework, where we maximize the EE performance with a certain sacrifice of SE performance. We first analyze the relationship between the EE and the SE, based on which we formulate the Nash-product EE maximization problem. We achieve the closed-form sub-optimal SE equilibria to maximize the EE performance with and without the minimum SE constraints. We finally propose a CE2MG algorithm, and numerical results verify the improved EE and fairness of the presented CE2MG algorithm compared with the non-cooperative scheme.</description><subject>5G mobile communication</subject><subject>Cooperative game</subject><subject>Densification</subject><subject>Downlink</subject><subject>Economic models</subject><subject>Energy efficiency</subject><subject>energy efficiency (EE)</subject><subject>Game theory</subject><subject>Games</subject><subject>Interference</subject><subject>Maximization</subject><subject>Optimization</subject><subject>Power efficiency</subject><subject>Resource management</subject><subject>spectrum efficiency (SE)</subject><subject>ultra-dense networks</subject><issn>0090-6778</issn><issn>1558-0857</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kMFOAjEQhhujiYi-gF428bw43dnttkeCiCQgFzw3pUxNEXaxXYL49C5CnMskk_n-P_kYu-fQ4xzU03wwm057GXDRywRKBeKCdXhRyBRkUV6yDoCCVJSlvGY3Ma4AIAfEDpuMq4aCo0CVpbS_N4GSYUXh45AMnfPWt_dDMjXffuN_TOPrKvFVUoyS93UTTPpMVaTkjZp9HT7jLbtyZh3p7ry7bP4ynA9e08lsNB70J6lFVE1aSlUqnsnM5gjlEpVZChLWLJwEJVEuCqcyErlUCyyNRJsL6ywhGUQDS-yyx1PsNtRfO4qNXtW7ULWNmkuhcsixnS7LTl821DEGcnob_MaEg-agj9L0nzR9lKbP0lro4QR5IvoHWm0ZKoG_PzdoAA</recordid><startdate>20170201</startdate><enddate>20170201</enddate><creator>Chungang Yang</creator><creator>Jiandong Li</creator><creator>Qiang Ni</creator><creator>Anpalagan, Alagan</creator><creator>Guizani, Mohsen</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/0000-0002-8972-8094</orcidid><orcidid>https://orcid.org/0000-0002-4593-1656</orcidid></search><sort><creationdate>20170201</creationdate><title>Interference-Aware Energy Efficiency Maximization in 5G Ultra-Dense Networks</title><author>Chungang Yang ; Jiandong Li ; Qiang Ni ; Anpalagan, Alagan ; Guizani, Mohsen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c339t-789791282c4307d39ad6e6cabf809838b5f92e6489b37a83c46cfce3ea33a0d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>5G mobile communication</topic><topic>Cooperative game</topic><topic>Densification</topic><topic>Downlink</topic><topic>Economic models</topic><topic>Energy efficiency</topic><topic>energy efficiency (EE)</topic><topic>Game theory</topic><topic>Games</topic><topic>Interference</topic><topic>Maximization</topic><topic>Optimization</topic><topic>Power efficiency</topic><topic>Resource management</topic><topic>spectrum efficiency (SE)</topic><topic>ultra-dense networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chungang Yang</creatorcontrib><creatorcontrib>Jiandong Li</creatorcontrib><creatorcontrib>Qiang Ni</creatorcontrib><creatorcontrib>Anpalagan, Alagan</creatorcontrib><creatorcontrib>Guizani, Mohsen</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 transactions on communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Chungang Yang</au><au>Jiandong Li</au><au>Qiang Ni</au><au>Anpalagan, Alagan</au><au>Guizani, Mohsen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Interference-Aware Energy Efficiency Maximization in 5G Ultra-Dense Networks</atitle><jtitle>IEEE transactions on communications</jtitle><stitle>TCOMM</stitle><date>2017-02-01</date><risdate>2017</risdate><volume>65</volume><issue>2</issue><spage>728</spage><epage>739</epage><pages>728-739</pages><issn>0090-6778</issn><eissn>1558-0857</eissn><coden>IECMBT</coden><abstract>Ultra-dense networks can further improve the spectrum efficiency (SE) and the energy efficiency (EE). However, the interference avoidance and the green design are becoming more complex due to the intrinsic densification and scalability. It is known that the much denser small cells are deployed, the more cooperation opportunities exist among them. In this paper, we characterize the cooperative behaviors in the Nash bargaining cooperative game-theoretic framework, where we maximize the EE performance with a certain sacrifice of SE performance. We first analyze the relationship between the EE and the SE, based on which we formulate the Nash-product EE maximization problem. We achieve the closed-form sub-optimal SE equilibria to maximize the EE performance with and without the minimum SE constraints. We finally propose a CE2MG algorithm, and numerical results verify the improved EE and fairness of the presented CE2MG algorithm compared with the non-cooperative scheme.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TCOMM.2016.2638906</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-8972-8094</orcidid><orcidid>https://orcid.org/0000-0002-4593-1656</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 0090-6778 |
| ispartof | IEEE transactions on communications, 2017-02, Vol.65 (2), p.728-739 |
| issn | 0090-6778 1558-0857 |
| language | eng |
| recordid | cdi_proquest_journals_1869404333 |
| source | IEEE Electronic Library (IEL) |
| subjects | 5G mobile communication Cooperative game Densification Downlink Economic models Energy efficiency energy efficiency (EE) Game theory Games Interference Maximization Optimization Power efficiency Resource management spectrum efficiency (SE) ultra-dense networks |
| title | Interference-Aware Energy Efficiency Maximization in 5G Ultra-Dense Networks |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T01%3A10%3A02IST&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=Interference-Aware%20Energy%20Efficiency%20Maximization%20in%205G%20Ultra-Dense%20Networks&rft.jtitle=IEEE%20transactions%20on%20communications&rft.au=Chungang%20Yang&rft.date=2017-02-01&rft.volume=65&rft.issue=2&rft.spage=728&rft.epage=739&rft.pages=728-739&rft.issn=0090-6778&rft.eissn=1558-0857&rft.coden=IECMBT&rft_id=info:doi/10.1109/TCOMM.2016.2638906&rft_dat=%3Cproquest_RIE%3E1869404333%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=1869404333&rft_id=info:pmid/&rft_ieee_id=7782396&rfr_iscdi=true |