Economics of WiFi Offloading: Trading Delay for Cellular Capacity
Cellular networks are facing severe traffic overloads due to the proliferation of smart handheld devices and traffic-hungry applications. A cost-effective and practical solution is to offload cellular data through WiFi. Recent theoretical and experimental studies show that a scheme, referred to as d...
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| Veröffentlicht in: | IEEE transactions on wireless communications 2014-03, Vol.13 (3), p.1540-1554 |
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| creator | Lee, Joohyun Yi, Yung Chong, Song Jin, Youngmi |
| description | Cellular networks are facing severe traffic overloads due to the proliferation of smart handheld devices and traffic-hungry applications. A cost-effective and practical solution is to offload cellular data through WiFi. Recent theoretical and experimental studies show that a scheme, referred to as delayed WiFi offloading, can significantly save the cellular capacity by delaying users' data and exploiting mobility and thus increasing chance of meeting WiFi APs (Access Points). Despite a huge potential of WiFi offloading in alleviating mobile data explosion, its success largely depends on the economic incentives provided to users and operators to deploy and use delayed offloading. In this paper, we study how much economic benefits can be generated due to delayed WiFi offloading, by modeling the interaction between a single provider and users based on a two-stage sequential game. We first analytically prove that WiFi offloading is economically beneficial for both the provider and users. Also, we conduct trace-driven numerical analysis to quantify the practical gain, where the increase ranges from 21% to 152% in the providers revenue, and from 73% to 319% in the users surplus. |
| doi_str_mv | 10.1109/TWC.2014.010214.130949 |
| format | Article |
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A cost-effective and practical solution is to offload cellular data through WiFi. Recent theoretical and experimental studies show that a scheme, referred to as delayed WiFi offloading, can significantly save the cellular capacity by delaying users' data and exploiting mobility and thus increasing chance of meeting WiFi APs (Access Points). Despite a huge potential of WiFi offloading in alleviating mobile data explosion, its success largely depends on the economic incentives provided to users and operators to deploy and use delayed offloading. In this paper, we study how much economic benefits can be generated due to delayed WiFi offloading, by modeling the interaction between a single provider and users based on a two-stage sequential game. We first analytically prove that WiFi offloading is economically beneficial for both the provider and users. Also, we conduct trace-driven numerical analysis to quantify the practical gain, where the increase ranges from 21% to 152% in the providers revenue, and from 73% to 319% in the users surplus.</description><identifier>ISSN: 1536-1276</identifier><identifier>EISSN: 1558-2248</identifier><identifier>DOI: 10.1109/TWC.2014.010214.130949</identifier><identifier>CODEN: ITWCAX</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Applied sciences ; Business and industry local networks ; Cellular communication ; Cost engineering ; Delay ; delayed offloading ; Delays ; economic analysis ; Economics ; Equipments and installations ; Exact sciences and technology ; Games ; IEEE 802.11 Standards ; Mathematical models ; Mobile communication ; Mobile radiocommunication systems ; Networks and services in france and abroad ; Numerical analysis ; Numerical models ; Pricing ; Radiocommunications ; stackelberg game ; Systems, networks and services of telecommunications ; Telecommunications ; Telecommunications and information theory ; Teleprocessing networks. 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A cost-effective and practical solution is to offload cellular data through WiFi. Recent theoretical and experimental studies show that a scheme, referred to as delayed WiFi offloading, can significantly save the cellular capacity by delaying users' data and exploiting mobility and thus increasing chance of meeting WiFi APs (Access Points). Despite a huge potential of WiFi offloading in alleviating mobile data explosion, its success largely depends on the economic incentives provided to users and operators to deploy and use delayed offloading. In this paper, we study how much economic benefits can be generated due to delayed WiFi offloading, by modeling the interaction between a single provider and users based on a two-stage sequential game. We first analytically prove that WiFi offloading is economically beneficial for both the provider and users. Also, we conduct trace-driven numerical analysis to quantify the practical gain, where the increase ranges from 21% to 152% in the providers revenue, and from 73% to 319% in the users surplus.</description><subject>Applied sciences</subject><subject>Business and industry local networks</subject><subject>Cellular communication</subject><subject>Cost engineering</subject><subject>Delay</subject><subject>delayed offloading</subject><subject>Delays</subject><subject>economic analysis</subject><subject>Economics</subject><subject>Equipments and installations</subject><subject>Exact sciences and technology</subject><subject>Games</subject><subject>IEEE 802.11 Standards</subject><subject>Mathematical models</subject><subject>Mobile communication</subject><subject>Mobile radiocommunication systems</subject><subject>Networks and services in france and abroad</subject><subject>Numerical analysis</subject><subject>Numerical models</subject><subject>Pricing</subject><subject>Radiocommunications</subject><subject>stackelberg game</subject><subject>Systems, networks and services of telecommunications</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Teleprocessing networks. Isdn</subject><subject>Traffic management</subject><subject>Transmission and modulation (techniques and equipments)</subject><subject>WiFi offloading</subject><subject>Wireless communication</subject><subject>Wireless networks</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>eNpdkE1LAzEYhBdRsFZ_gSALInjZmu9kvZW1VaHQS6XHkE0TSdluatI99N-bdUsPnmbgfd5hmCx7gGACIShfVutqggAkEwABSgIxKEl5kY0gpaJAiIjL3mNWQMTZdXYT4xYAyBmlo2w60771O6dj7m2-dnOXL61tvNq49vs1X4U_k7-ZRh1z60NemabpGpWM2ivtDsfb7MqqJpq7k46zr_lsVX0Ui-X7ZzVdFJpgdCig3pRGcFEnxURTLjQyAlJkKUUIcwK02ijCOaq5IbWB1pSGkVrV3G6EZXicPQ-5--B_OhMPcueiTm1Ua3wXZYoCJU0BOKGP_9Ct70Kb2iUKAiAoYCRRbKB08DEGY-U-uJ0KRwmB7JeVaVnZLyuHZeWwbHp8OsWrqFVjg2q1i-dvJAjABPWN7wfOGWPOZ8ZBIij-BYRFf_8</recordid><startdate>20140301</startdate><enddate>20140301</enddate><creator>Lee, Joohyun</creator><creator>Yi, Yung</creator><creator>Chong, Song</creator><creator>Jin, Youngmi</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Isdn</topic><topic>Traffic management</topic><topic>Transmission and modulation (techniques and equipments)</topic><topic>WiFi offloading</topic><topic>Wireless communication</topic><topic>Wireless networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Joohyun</creatorcontrib><creatorcontrib>Yi, Yung</creatorcontrib><creatorcontrib>Chong, Song</creatorcontrib><creatorcontrib>Jin, Youngmi</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>Pascal-Francis</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><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on wireless communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Lee, Joohyun</au><au>Yi, Yung</au><au>Chong, Song</au><au>Jin, Youngmi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Economics of WiFi Offloading: Trading Delay for Cellular Capacity</atitle><jtitle>IEEE transactions on wireless communications</jtitle><stitle>TWC</stitle><date>2014-03-01</date><risdate>2014</risdate><volume>13</volume><issue>3</issue><spage>1540</spage><epage>1554</epage><pages>1540-1554</pages><issn>1536-1276</issn><eissn>1558-2248</eissn><coden>ITWCAX</coden><abstract>Cellular networks are facing severe traffic overloads due to the proliferation of smart handheld devices and traffic-hungry applications. A cost-effective and practical solution is to offload cellular data through WiFi. Recent theoretical and experimental studies show that a scheme, referred to as delayed WiFi offloading, can significantly save the cellular capacity by delaying users' data and exploiting mobility and thus increasing chance of meeting WiFi APs (Access Points). Despite a huge potential of WiFi offloading in alleviating mobile data explosion, its success largely depends on the economic incentives provided to users and operators to deploy and use delayed offloading. In this paper, we study how much economic benefits can be generated due to delayed WiFi offloading, by modeling the interaction between a single provider and users based on a two-stage sequential game. We first analytically prove that WiFi offloading is economically beneficial for both the provider and users. Also, we conduct trace-driven numerical analysis to quantify the practical gain, where the increase ranges from 21% to 152% in the providers revenue, and from 73% to 319% in the users surplus.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TWC.2014.010214.130949</doi><tpages>15</tpages></addata></record> |
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| subjects | Applied sciences Business and industry local networks Cellular communication Cost engineering Delay delayed offloading Delays economic analysis Economics Equipments and installations Exact sciences and technology Games IEEE 802.11 Standards Mathematical models Mobile communication Mobile radiocommunication systems Networks and services in france and abroad Numerical analysis Numerical models Pricing Radiocommunications stackelberg game Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Teleprocessing networks. Isdn Traffic management Transmission and modulation (techniques and equipments) WiFi offloading Wireless communication Wireless networks |
| title | Economics of WiFi Offloading: Trading Delay for Cellular Capacity |
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