A Model Based on Poisson Point Process for Analyzing MIMO Heterogeneous Networks Utilizing Fractional Frequency Reuse
In this paper, we propose a tractable and flexible model for K-tier multiple-input-multiple-output (MIMO) heterogeneous networks (HetNets), with the fractional frequency reuse (FFR) technique, based on the spatial Poisson point process (PPP). The MIMO HetNets consist of K tiers of base stations (BSs...
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Veröffentlicht in: | IEEE transactions on wireless communications 2014-12, Vol.13 (12), p.6839-6850 |
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description | In this paper, we propose a tractable and flexible model for K-tier multiple-input-multiple-output (MIMO) heterogeneous networks (HetNets), with the fractional frequency reuse (FFR) technique, based on the spatial Poisson point process (PPP). The MIMO HetNets consist of K tiers of base stations (BSs), where each tier may differ in terms of the transmit power, the BSs' deployment density, the target signal-to-interference ratio, the number of antennas, and the MIMO technique. Since HetNets experience serious cross-tier interference, FFR, as an interference management technique, is found as a suitable solution. Due to the randomness of the BSs' locations, the PPP is more and more used to model them in HetNets. In this paper, we use different independent PPPs to model the BSs' locations of each tier, and we take different MIMO techniques into consideration. We focus on two main types of FFR techniques, i.e., strict FFR and soft frequency reuse, and we derive the coverage probability expressions of cell-edge users (the users at the cell edge). We also derive the average rate expressions and show the impact of the main parameters on the coverage probability under closed-access and open-access cases. |
doi_str_mv | 10.1109/TWC.2014.2364219 |
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The MIMO HetNets consist of K tiers of base stations (BSs), where each tier may differ in terms of the transmit power, the BSs' deployment density, the target signal-to-interference ratio, the number of antennas, and the MIMO technique. Since HetNets experience serious cross-tier interference, FFR, as an interference management technique, is found as a suitable solution. Due to the randomness of the BSs' locations, the PPP is more and more used to model them in HetNets. In this paper, we use different independent PPPs to model the BSs' locations of each tier, and we take different MIMO techniques into consideration. We focus on two main types of FFR techniques, i.e., strict FFR and soft frequency reuse, and we derive the coverage probability expressions of cell-edge users (the users at the cell edge). We also derive the average rate expressions and show the impact of the main parameters on the coverage probability under closed-access and open-access cases.</description><identifier>ISSN: 1536-1276</identifier><identifier>EISSN: 1558-2248</identifier><identifier>DOI: 10.1109/TWC.2014.2364219</identifier><identifier>CODEN: ITWCAX</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Analytical models ; Downlink ; FFR ; heterogeneous networks ; Interference ; MIMO ; Multiaccess communication ; Open Access ; PPP ; Radio spectrum management</subject><ispartof>IEEE transactions on wireless communications, 2014-12, Vol.13 (12), p.6839-6850</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Dec 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c291t-d21d939354eb915802e23c9781fa8bc39e61a6ad5459cedf7aa562a7d6c89dd73</citedby><cites>FETCH-LOGICAL-c291t-d21d939354eb915802e23c9781fa8bc39e61a6ad5459cedf7aa562a7d6c89dd73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6935090$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27923,27924,54757</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6935090$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>He Zhuang</creatorcontrib><creatorcontrib>Ohtsuki, Tomoaki</creatorcontrib><title>A Model Based on Poisson Point Process for Analyzing MIMO Heterogeneous Networks Utilizing Fractional Frequency Reuse</title><title>IEEE transactions on wireless communications</title><addtitle>TWC</addtitle><description>In this paper, we propose a tractable and flexible model for K-tier multiple-input-multiple-output (MIMO) heterogeneous networks (HetNets), with the fractional frequency reuse (FFR) technique, based on the spatial Poisson point process (PPP). The MIMO HetNets consist of K tiers of base stations (BSs), where each tier may differ in terms of the transmit power, the BSs' deployment density, the target signal-to-interference ratio, the number of antennas, and the MIMO technique. Since HetNets experience serious cross-tier interference, FFR, as an interference management technique, is found as a suitable solution. Due to the randomness of the BSs' locations, the PPP is more and more used to model them in HetNets. In this paper, we use different independent PPPs to model the BSs' locations of each tier, and we take different MIMO techniques into consideration. We focus on two main types of FFR techniques, i.e., strict FFR and soft frequency reuse, and we derive the coverage probability expressions of cell-edge users (the users at the cell edge). We also derive the average rate expressions and show the impact of the main parameters on the coverage probability under closed-access and open-access cases.</description><subject>Analytical models</subject><subject>Downlink</subject><subject>FFR</subject><subject>heterogeneous networks</subject><subject>Interference</subject><subject>MIMO</subject><subject>Multiaccess communication</subject><subject>Open Access</subject><subject>PPP</subject><subject>Radio spectrum management</subject><issn>1536-1276</issn><issn>1558-2248</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kM1PAjEUxDdGExG9m3hp4nmxH9tue0QiQgJCDMTjprRvyeK61XY3Bv96ixBPM4eZ9ya_JLkleEAIVg-rt9GAYpINKBMZJeos6RHOZUppJs8PnomU0FxcJlch7DAmueC8l3RDNHcWavSoA1jkGrR0VQhHbVq09M5ACKh0Hg0bXe9_qmaL5tP5Ak2gBe-20IDrAnqB9tv594DWbVVXf6mx16atXGxFC18dNGaPXqELcJ1clLoOcHPSfrIeP61Gk3S2eJ6OhrPUUEXa1FJiFVOMZ7BRhEtMgTKjcklKLTeGKRBEC215xpUBW-Zac0F1boWRytqc9ZP7491P7-L_0BY71_k4KBREsFzKTEocU_iYMt6F4KEsPn31of2-ILg4wC0i3OIAtzjBjZW7Y6UCgP-4iFOxwuwXvmt2eQ</recordid><startdate>201412</startdate><enddate>201412</enddate><creator>He Zhuang</creator><creator>Ohtsuki, Tomoaki</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>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>201412</creationdate><title>A Model Based on Poisson Point Process for Analyzing MIMO Heterogeneous Networks Utilizing Fractional Frequency Reuse</title><author>He Zhuang ; Ohtsuki, Tomoaki</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c291t-d21d939354eb915802e23c9781fa8bc39e61a6ad5459cedf7aa562a7d6c89dd73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Analytical models</topic><topic>Downlink</topic><topic>FFR</topic><topic>heterogeneous networks</topic><topic>Interference</topic><topic>MIMO</topic><topic>Multiaccess communication</topic><topic>Open Access</topic><topic>PPP</topic><topic>Radio spectrum management</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>He Zhuang</creatorcontrib><creatorcontrib>Ohtsuki, Tomoaki</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>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE transactions on wireless communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>He Zhuang</au><au>Ohtsuki, Tomoaki</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Model Based on Poisson Point Process for Analyzing MIMO Heterogeneous Networks Utilizing Fractional Frequency Reuse</atitle><jtitle>IEEE transactions on wireless communications</jtitle><stitle>TWC</stitle><date>2014-12</date><risdate>2014</risdate><volume>13</volume><issue>12</issue><spage>6839</spage><epage>6850</epage><pages>6839-6850</pages><issn>1536-1276</issn><eissn>1558-2248</eissn><coden>ITWCAX</coden><abstract>In this paper, we propose a tractable and flexible model for K-tier multiple-input-multiple-output (MIMO) heterogeneous networks (HetNets), with the fractional frequency reuse (FFR) technique, based on the spatial Poisson point process (PPP). The MIMO HetNets consist of K tiers of base stations (BSs), where each tier may differ in terms of the transmit power, the BSs' deployment density, the target signal-to-interference ratio, the number of antennas, and the MIMO technique. Since HetNets experience serious cross-tier interference, FFR, as an interference management technique, is found as a suitable solution. Due to the randomness of the BSs' locations, the PPP is more and more used to model them in HetNets. In this paper, we use different independent PPPs to model the BSs' locations of each tier, and we take different MIMO techniques into consideration. We focus on two main types of FFR techniques, i.e., strict FFR and soft frequency reuse, and we derive the coverage probability expressions of cell-edge users (the users at the cell edge). We also derive the average rate expressions and show the impact of the main parameters on the coverage probability under closed-access and open-access cases.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TWC.2014.2364219</doi><tpages>12</tpages></addata></record> |
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subjects | Analytical models Downlink FFR heterogeneous networks Interference MIMO Multiaccess communication Open Access PPP Radio spectrum management |
title | A Model Based on Poisson Point Process for Analyzing MIMO Heterogeneous Networks Utilizing Fractional Frequency Reuse |
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