Coverage analysis of ultra-dense heterogeneous cellular networks with interference management
Deploying ultra-dense small base stations (SBSs) in the coverage umbrella of a macro base station (MBS) requires proactive users offloading form MBS to SBSs to achieve maximum performance gain in heterogeneous cellular networks. However, it degrades the signal-to-interference-plus-noise ratio (SINR)...
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creator | Haroon, Muhammad Sajid Abbas, Ziaul Haq Abbas, Ghulam Muhammad, Fazal |
description | Deploying ultra-dense small base stations (SBSs) in the coverage umbrella of a macro base station (MBS) requires proactive users offloading form MBS to SBSs to achieve maximum performance gain in heterogeneous cellular networks. However, it degrades the signal-to-interference-plus-noise ratio (SINR) of the offloaded users due to strong interference received from MBS. To improve users’ SINR, an efficient interference mitigation scheme is required to be used in conjunction with users offloading. Soft frequency reuse (SFR) is an attractive and spectrally efficient interference mitigation scheme that allocates available bandwidth among all cell users associated with
k
BS
, where
k
∈
(
M
,
S
)
. To address the problem of interference, we use the SFR scheme together with power control factor
(
β
)
to transmit at different power levels for interior and edge regions of
k
BS
, i.e.,
r
k
i
and
r
k
e
, respectively. We further consider uniform and nonuniform SBS distribution in the premises of MBS and analyse the effect of the SFR scheme on the proposed model with the help of Stochastic geometry. Mathematical expressions for coverage probabilities are derived and validated through simulations. Numerical results show that the proposed model achieves better coverage probability due to reduced interference. Moreover, nonuniform SBS distribution together with the SFR scheme further improves the performance gain of the proposed model. |
doi_str_mv | 10.1007/s11276-019-01965-0 |
format | Article |
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k
BS
, where
k
∈
(
M
,
S
)
. To address the problem of interference, we use the SFR scheme together with power control factor
(
β
)
to transmit at different power levels for interior and edge regions of
k
BS
, i.e.,
r
k
i
and
r
k
e
, respectively. We further consider uniform and nonuniform SBS distribution in the premises of MBS and analyse the effect of the SFR scheme on the proposed model with the help of Stochastic geometry. Mathematical expressions for coverage probabilities are derived and validated through simulations. Numerical results show that the proposed model achieves better coverage probability due to reduced interference. Moreover, nonuniform SBS distribution together with the SFR scheme further improves the performance gain of the proposed model.</description><identifier>ISSN: 1022-0038</identifier><identifier>EISSN: 1572-8196</identifier><identifier>DOI: 10.1007/s11276-019-01965-0</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Bandwidths ; Cellular communication ; Communications Engineering ; Computer Communication Networks ; Computer Science ; Computer Science, Information Systems ; Computer simulation ; Electrical Engineering ; Employment ; Engineering ; Engineering, Electrical & Electronic ; Frequency reuse ; Interference ; IT in Business ; Mathematical models ; Networks ; Noise ; Performance enhancement ; Power control ; Probability ; Radio equipment ; Science & Technology ; Technology ; Telecommunications ; Wireless networks</subject><ispartof>Wireless networks, 2020-04, Vol.26 (3), p.2013-2025</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2019</rights><rights>Wireless Networks is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>21</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000526447000033</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c358t-52e910fec0719a5c894f755a399d5f22711f45756d02f31bac7837fd48be5edb3</citedby><cites>FETCH-LOGICAL-c358t-52e910fec0719a5c894f755a399d5f22711f45756d02f31bac7837fd48be5edb3</cites><orcidid>0000-0003-3836-1373 ; 0000-0003-4466-0089 ; 0000-0003-0405-0083 ; 0000-0002-4667-2991 ; 0000-0002-1280-2997</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11276-019-01965-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11276-019-01965-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27929,27930,28253,41493,42562,51324</link.rule.ids></links><search><creatorcontrib>Haroon, Muhammad Sajid</creatorcontrib><creatorcontrib>Abbas, Ziaul Haq</creatorcontrib><creatorcontrib>Abbas, Ghulam</creatorcontrib><creatorcontrib>Muhammad, Fazal</creatorcontrib><title>Coverage analysis of ultra-dense heterogeneous cellular networks with interference management</title><title>Wireless networks</title><addtitle>Wireless Netw</addtitle><addtitle>WIREL NETW</addtitle><description>Deploying ultra-dense small base stations (SBSs) in the coverage umbrella of a macro base station (MBS) requires proactive users offloading form MBS to SBSs to achieve maximum performance gain in heterogeneous cellular networks. However, it degrades the signal-to-interference-plus-noise ratio (SINR) of the offloaded users due to strong interference received from MBS. To improve users’ SINR, an efficient interference mitigation scheme is required to be used in conjunction with users offloading. Soft frequency reuse (SFR) is an attractive and spectrally efficient interference mitigation scheme that allocates available bandwidth among all cell users associated with
k
BS
, where
k
∈
(
M
,
S
)
. To address the problem of interference, we use the SFR scheme together with power control factor
(
β
)
to transmit at different power levels for interior and edge regions of
k
BS
, i.e.,
r
k
i
and
r
k
e
, respectively. We further consider uniform and nonuniform SBS distribution in the premises of MBS and analyse the effect of the SFR scheme on the proposed model with the help of Stochastic geometry. Mathematical expressions for coverage probabilities are derived and validated through simulations. Numerical results show that the proposed model achieves better coverage probability due to reduced interference. Moreover, nonuniform SBS distribution together with the SFR scheme further improves the performance gain of the proposed model.</description><subject>Bandwidths</subject><subject>Cellular communication</subject><subject>Communications Engineering</subject><subject>Computer Communication Networks</subject><subject>Computer Science</subject><subject>Computer Science, Information Systems</subject><subject>Computer simulation</subject><subject>Electrical Engineering</subject><subject>Employment</subject><subject>Engineering</subject><subject>Engineering, Electrical & Electronic</subject><subject>Frequency reuse</subject><subject>Interference</subject><subject>IT in Business</subject><subject>Mathematical models</subject><subject>Networks</subject><subject>Noise</subject><subject>Performance enhancement</subject><subject>Power control</subject><subject>Probability</subject><subject>Radio equipment</subject><subject>Science & Technology</subject><subject>Technology</subject><subject>Telecommunications</subject><subject>Wireless 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models</topic><topic>Networks</topic><topic>Noise</topic><topic>Performance enhancement</topic><topic>Power control</topic><topic>Probability</topic><topic>Radio equipment</topic><topic>Science & Technology</topic><topic>Technology</topic><topic>Telecommunications</topic><topic>Wireless networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Haroon, Muhammad Sajid</creatorcontrib><creatorcontrib>Abbas, Ziaul Haq</creatorcontrib><creatorcontrib>Abbas, Ghulam</creatorcontrib><creatorcontrib>Muhammad, Fazal</creatorcontrib><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Access 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NETW</stitle><date>2020-04-01</date><risdate>2020</risdate><volume>26</volume><issue>3</issue><spage>2013</spage><epage>2025</epage><pages>2013-2025</pages><issn>1022-0038</issn><eissn>1572-8196</eissn><abstract>Deploying ultra-dense small base stations (SBSs) in the coverage umbrella of a macro base station (MBS) requires proactive users offloading form MBS to SBSs to achieve maximum performance gain in heterogeneous cellular networks. However, it degrades the signal-to-interference-plus-noise ratio (SINR) of the offloaded users due to strong interference received from MBS. To improve users’ SINR, an efficient interference mitigation scheme is required to be used in conjunction with users offloading. Soft frequency reuse (SFR) is an attractive and spectrally efficient interference mitigation scheme that allocates available bandwidth among all cell users associated with
k
BS
, where
k
∈
(
M
,
S
)
. To address the problem of interference, we use the SFR scheme together with power control factor
(
β
)
to transmit at different power levels for interior and edge regions of
k
BS
, i.e.,
r
k
i
and
r
k
e
, respectively. We further consider uniform and nonuniform SBS distribution in the premises of MBS and analyse the effect of the SFR scheme on the proposed model with the help of Stochastic geometry. Mathematical expressions for coverage probabilities are derived and validated through simulations. Numerical results show that the proposed model achieves better coverage probability due to reduced interference. Moreover, nonuniform SBS distribution together with the SFR scheme further improves the performance gain of the proposed model.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11276-019-01965-0</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0003-3836-1373</orcidid><orcidid>https://orcid.org/0000-0003-4466-0089</orcidid><orcidid>https://orcid.org/0000-0003-0405-0083</orcidid><orcidid>https://orcid.org/0000-0002-4667-2991</orcidid><orcidid>https://orcid.org/0000-0002-1280-2997</orcidid></addata></record> |
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subjects | Bandwidths Cellular communication Communications Engineering Computer Communication Networks Computer Science Computer Science, Information Systems Computer simulation Electrical Engineering Employment Engineering Engineering, Electrical & Electronic Frequency reuse Interference IT in Business Mathematical models Networks Noise Performance enhancement Power control Probability Radio equipment Science & Technology Technology Telecommunications Wireless networks |
title | Coverage analysis of ultra-dense heterogeneous cellular networks with interference management |
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