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Towards 1 Gbps/UE in Cellular Systems: Understanding Ultra-Dense Small Cell Deployments
Today's heterogeneous networks comprised of mostly macrocells and indoor small cells will not be able to meet the upcoming traffic demands. Indeed, it is forecasted that at least a 100\times network capacity increase will be required to meet the traffic demands in 2020. As a result, vendors and...
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Published in: | IEEE Communications surveys and tutorials 2015-01, Vol.17 (4), p.2078-2101 |
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description | Today's heterogeneous networks comprised of mostly macrocells and indoor small cells will not be able to meet the upcoming traffic demands. Indeed, it is forecasted that at least a 100\times network capacity increase will be required to meet the traffic demands in 2020. As a result, vendors and operators are now looking at using every tool at hand to improve network capacity. In this epic campaign, three paradigms are noteworthy, i.e., network densification, the use of higher frequency bands and spectral efficiency enhancement techniques. This paper aims at bringing further common understanding and analysing the potential gains and limitations of these three paradigms, together with the impact of idle mode capabilities at the small cells as well as the user equipment density and distribution in outdoor scenarios. Special attention is paid to network densification and its implications when transiting to ultra-dense small cell deployments. Simulation results show that comparing to the baseline case with an average inter site distance of 200 m and a 100 MHz bandwidth, network densification with an average inter site distance of 35 m can increase the average UE throughput by 7.56\times, while the use of the 10 GHz band with a 500 MHz bandwidth can further increase the network capacity up to 5\times, resulting in an average of 1.27 Gbps per UE. The use of beamforming with up to 4 antennas per small cell BS lacks behind with average throughput gains around 30% and cell-edge throughput gains of up to 2\times. Considering an extreme densification, an average inter site distance of 5 m can increase the average and cell-edge UE throughput by 18\times and 48\times, respectively. Our study also shows how network densification reduces multi-user diversity, and thus proportional fair alike schedulers start losing their advantages with respect to round robin ones. The energy efficiency of these ultra-dense small cell deployments is also analysed, indicating the benefits of energy harvesting approaches to make these deployments more energy-efficient. Finally, the top ten challenges to be addressed to bring ultra-dense small cell deployments to reality are also discussed. |
doi_str_mv | 10.1109/COMST.2015.2439636 |
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Indeed, it is forecasted that at least a 100\times network capacity increase will be required to meet the traffic demands in 2020. As a result, vendors and operators are now looking at using every tool at hand to improve network capacity. In this epic campaign, three paradigms are noteworthy, i.e., network densification, the use of higher frequency bands and spectral efficiency enhancement techniques. This paper aims at bringing further common understanding and analysing the potential gains and limitations of these three paradigms, together with the impact of idle mode capabilities at the small cells as well as the user equipment density and distribution in outdoor scenarios. Special attention is paid to network densification and its implications when transiting to ultra-dense small cell deployments. Simulation results show that comparing to the baseline case with an average inter site distance of 200 m and a 100 MHz bandwidth, network densification with an average inter site distance of 35 m can increase the average UE throughput by 7.56\times, while the use of the 10 GHz band with a 500 MHz bandwidth can further increase the network capacity up to 5\times, resulting in an average of 1.27 Gbps per UE. The use of beamforming with up to 4 antennas per small cell BS lacks behind with average throughput gains around 30% and cell-edge throughput gains of up to 2\times. Considering an extreme densification, an average inter site distance of 5 m can increase the average and cell-edge UE throughput by 18\times and 48\times, respectively. Our study also shows how network densification reduces multi-user diversity, and thus proportional fair alike schedulers start losing their advantages with respect to round robin ones. The energy efficiency of these ultra-dense small cell deployments is also analysed, indicating the benefits of energy harvesting approaches to make these deployments more energy-efficient. Finally, the top ten challenges to be addressed to bring ultra-dense small cell deployments to reality are also discussed.</description><identifier>ISSN: 1553-877X</identifier><identifier>EISSN: 2373-745X</identifier><identifier>DOI: 10.1109/COMST.2015.2439636</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>antenna ; Antenna measurements ; Bandwidth ; capacity ; co-channel deployment ; Cost benefit analysis ; cost-effectiveness ; Demand ; Densification ; energy ; frequency ; Gain ; Hand tools ; heterogeneous network ; Interference ; Macrocell ; Macrocell networks ; MIMO ; Mobile computing ; Networks ; OFDM ; orthogonal deployment ; small cell ; Throughput ; Traffic engineering ; Traffic flow ; Tutorials ; ultra-dense deployment</subject><ispartof>IEEE Communications surveys and tutorials, 2015-01, Vol.17 (4), p.2078-2101</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c328t-3d67a7a64f10029199eccb0df3dff01e820c716b81051f017fa59a9da96df2583</citedby><cites>FETCH-LOGICAL-c328t-3d67a7a64f10029199eccb0df3dff01e820c716b81051f017fa59a9da96df2583</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7126919$$EHTML$$P50$$Gieee$$H</linktohtml></links><search><creatorcontrib>Lopez-Perez, David</creatorcontrib><creatorcontrib>Ming Ding</creatorcontrib><creatorcontrib>Claussen, Holger</creatorcontrib><creatorcontrib>Jafari, Amir H.</creatorcontrib><title>Towards 1 Gbps/UE in Cellular Systems: Understanding Ultra-Dense Small Cell Deployments</title><title>IEEE Communications surveys and tutorials</title><addtitle>COMST</addtitle><description>Today's heterogeneous networks comprised of mostly macrocells and indoor small cells will not be able to meet the upcoming traffic demands. Indeed, it is forecasted that at least a 100\times network capacity increase will be required to meet the traffic demands in 2020. As a result, vendors and operators are now looking at using every tool at hand to improve network capacity. In this epic campaign, three paradigms are noteworthy, i.e., network densification, the use of higher frequency bands and spectral efficiency enhancement techniques. This paper aims at bringing further common understanding and analysing the potential gains and limitations of these three paradigms, together with the impact of idle mode capabilities at the small cells as well as the user equipment density and distribution in outdoor scenarios. Special attention is paid to network densification and its implications when transiting to ultra-dense small cell deployments. Simulation results show that comparing to the baseline case with an average inter site distance of 200 m and a 100 MHz bandwidth, network densification with an average inter site distance of 35 m can increase the average UE throughput by 7.56\times, while the use of the 10 GHz band with a 500 MHz bandwidth can further increase the network capacity up to 5\times, resulting in an average of 1.27 Gbps per UE. The use of beamforming with up to 4 antennas per small cell BS lacks behind with average throughput gains around 30% and cell-edge throughput gains of up to 2\times. Considering an extreme densification, an average inter site distance of 5 m can increase the average and cell-edge UE throughput by 18\times and 48\times, respectively. Our study also shows how network densification reduces multi-user diversity, and thus proportional fair alike schedulers start losing their advantages with respect to round robin ones. The energy efficiency of these ultra-dense small cell deployments is also analysed, indicating the benefits of energy harvesting approaches to make these deployments more energy-efficient. Finally, the top ten challenges to be addressed to bring ultra-dense small cell deployments to reality are also discussed.</description><subject>antenna</subject><subject>Antenna measurements</subject><subject>Bandwidth</subject><subject>capacity</subject><subject>co-channel deployment</subject><subject>Cost benefit analysis</subject><subject>cost-effectiveness</subject><subject>Demand</subject><subject>Densification</subject><subject>energy</subject><subject>frequency</subject><subject>Gain</subject><subject>Hand tools</subject><subject>heterogeneous network</subject><subject>Interference</subject><subject>Macrocell</subject><subject>Macrocell networks</subject><subject>MIMO</subject><subject>Mobile computing</subject><subject>Networks</subject><subject>OFDM</subject><subject>orthogonal deployment</subject><subject>small cell</subject><subject>Throughput</subject><subject>Traffic engineering</subject><subject>Traffic flow</subject><subject>Tutorials</subject><subject>ultra-dense deployment</subject><issn>1553-877X</issn><issn>2373-745X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNpdkMtKAzEUhoMoWKsvoJuAGzfT5jpJ3Elbq1Dpoh3sLqQzGZmSuZjMIH17pxdcuDpw-L7Df34A7jEaYYzUeLL8WK1HBGE-IoyqmMYXYECooJFgfHMJBphzGkkhNtfgJoQdQowwhQbgc13_GJ8FiOF824RxMoNFBSfWuc4ZD1f70NoyPMOkyqwPramyovqCiWu9iaa2ChauSuPc0YBT27h6X9qqDbfgKjcu2LvzHILkdbaevEWL5fx98rKIUkpkG9EsFkaYmOUYIaKwUjZNtyjLaZbnCFtJUCpwvJUYcdwvRG64MiozKs5ywiUdgqfT3cbX350NrS6LkPZhTGXrLmgsKedCMnlAH_-hu7rzVZ9OY0GlZJQh1lPkRKW-DsHbXDe-KI3fa4z0oWt97Fofutbnrnvp4SQV1to_QWAS9y_RX5s6edU</recordid><startdate>20150101</startdate><enddate>20150101</enddate><creator>Lopez-Perez, David</creator><creator>Ming Ding</creator><creator>Claussen, Holger</creator><creator>Jafari, Amir H.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Simulation results show that comparing to the baseline case with an average inter site distance of 200 m and a 100 MHz bandwidth, network densification with an average inter site distance of 35 m can increase the average UE throughput by 7.56\times, while the use of the 10 GHz band with a 500 MHz bandwidth can further increase the network capacity up to 5\times, resulting in an average of 1.27 Gbps per UE. The use of beamforming with up to 4 antennas per small cell BS lacks behind with average throughput gains around 30% and cell-edge throughput gains of up to 2\times. Considering an extreme densification, an average inter site distance of 5 m can increase the average and cell-edge UE throughput by 18\times and 48\times, respectively. Our study also shows how network densification reduces multi-user diversity, and thus proportional fair alike schedulers start losing their advantages with respect to round robin ones. The energy efficiency of these ultra-dense small cell deployments is also analysed, indicating the benefits of energy harvesting approaches to make these deployments more energy-efficient. Finally, the top ten challenges to be addressed to bring ultra-dense small cell deployments to reality are also discussed.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/COMST.2015.2439636</doi><tpages>24</tpages></addata></record> |
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subjects | antenna Antenna measurements Bandwidth capacity co-channel deployment Cost benefit analysis cost-effectiveness Demand Densification energy frequency Gain Hand tools heterogeneous network Interference Macrocell Macrocell networks MIMO Mobile computing Networks OFDM orthogonal deployment small cell Throughput Traffic engineering Traffic flow Tutorials ultra-dense deployment |
title | Towards 1 Gbps/UE in Cellular Systems: Understanding Ultra-Dense Small Cell Deployments |
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