Device-to-Device Communications Underlaying Cellular Networks: To Use Unlicensed Spectrum or Not?
In this paper, we consider device-to-device (D2D) communications as an underlay to cellular networks over both licensed and unlicensed spectrums, where long-term evolution (LTE) users utilize the spectrum orthogonally while D2D users share the spectrum with LTE users. In the system, each LTE and D2D...
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Veröffentlicht in: | IEEE transactions on communications 2019-09, Vol.67 (9), p.6598-6611 |
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creator | Wu, Fanyi Zhang, Hongliang Di, Boya Wu, Jianjun Song, Lingyang |
description | In this paper, we consider device-to-device (D2D) communications as an underlay to cellular networks over both licensed and unlicensed spectrums, where long-term evolution (LTE) users utilize the spectrum orthogonally while D2D users share the spectrum with LTE users. In the system, each LTE and D2D user can access the licensed or unlicensed band for communications. To maximize the total throughput of the system, we leverage stochastic geometry to derive the throughput for each kind of user by modeling the deployment of users as Poisson point processes (PPPs), and investigate the spectrum access problem for these users. Since the problem is NP-hard, we propose a sequential quadratic programming (SQP)-based algorithm to obtain the corresponding suboptimal solutions. Theoretically, we evaluate the system performance by analyzing the throughput regions. Simulation results validate the accuracy of the geometric analysis and verify the effectiveness of the proposed algorithm. |
doi_str_mv | 10.1109/TCOMM.2019.2917901 |
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In the system, each LTE and D2D user can access the licensed or unlicensed band for communications. To maximize the total throughput of the system, we leverage stochastic geometry to derive the throughput for each kind of user by modeling the deployment of users as Poisson point processes (PPPs), and investigate the spectrum access problem for these users. Since the problem is NP-hard, we propose a sequential quadratic programming (SQP)-based algorithm to obtain the corresponding suboptimal solutions. Theoretically, we evaluate the system performance by analyzing the throughput regions. 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(IEEE) 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c295t-d6ae011e9eb1a486171cfe9e8d32b86668a8d2f858a2ff5ea8181061d18788753</citedby><cites>FETCH-LOGICAL-c295t-d6ae011e9eb1a486171cfe9e8d32b86668a8d2f858a2ff5ea8181061d18788753</cites><orcidid>0000-0003-3484-1361 ; 0000-0003-3393-8612 ; 0000-0001-8644-8241 ; 0000-0001-8766-0885</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8718305$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8718305$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Wu, Fanyi</creatorcontrib><creatorcontrib>Zhang, Hongliang</creatorcontrib><creatorcontrib>Di, Boya</creatorcontrib><creatorcontrib>Wu, Jianjun</creatorcontrib><creatorcontrib>Song, Lingyang</creatorcontrib><title>Device-to-Device Communications Underlaying Cellular Networks: To Use Unlicensed Spectrum or Not?</title><title>IEEE transactions on communications</title><addtitle>TCOMM</addtitle><description>In this paper, we consider device-to-device (D2D) communications as an underlay to cellular networks over both licensed and unlicensed spectrums, where long-term evolution (LTE) users utilize the spectrum orthogonally while D2D users share the spectrum with LTE users. In the system, each LTE and D2D user can access the licensed or unlicensed band for communications. To maximize the total throughput of the system, we leverage stochastic geometry to derive the throughput for each kind of user by modeling the deployment of users as Poisson point processes (PPPs), and investigate the spectrum access problem for these users. Since the problem is NP-hard, we propose a sequential quadratic programming (SQP)-based algorithm to obtain the corresponding suboptimal solutions. Theoretically, we evaluate the system performance by analyzing the throughput regions. Simulation results validate the accuracy of the geometric analysis and verify the effectiveness of the proposed algorithm.</description><subject>Algorithms</subject><subject>Cellular communication</subject><subject>Cellular networks</subject><subject>Computer simulation</subject><subject>Device-to-device communication</subject><subject>Device-to-device unlicensed communications</subject><subject>Geometric accuracy</subject><subject>Geometry</subject><subject>Long Term Evolution</subject><subject>Mobile communication systems</subject><subject>Quadratic programming</subject><subject>sequential quadratic programming</subject><subject>spectrum access</subject><subject>stochastic geometry</subject><subject>Stochastic processes</subject><subject>Throughput</subject><subject>Wireless communications</subject><subject>Wireless fidelity</subject><issn>0090-6778</issn><issn>1558-0857</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1Pg0AQQDdGE2v1D-iFxDN1Zikw68UY_Exae7A9ky0Mhgps3QVN_71UGk87m7w3kzwhLhEmiKBulsliPp9IQDWRCmMFeCRGGIbkA4XxsRgBKPCjOKZTcebcBgCmEAQjoR_4u8zYb40_TF5i6rpryky3pWmct2pytpXelc2Hl3BVdZW23hu3P8Z-ultvabyV456qerdxnHvvW85a29We6TnT3p2Lk0JXji8O71isnh6XyYs_Wzy_JvczP5MqbP080gyIrHiNekoRxpgV_Y_yQK4piiLSlMuCQtKyKELWhIQQYY4UE8VhMBbXw96tNV8duzbdmM42_clUSiVVHwWmPSUHKrPGOctFurVlre0uRUj3KdO_lOk-ZXpI2UtXg1Qy879AMVIAYfALUrBv3Q</recordid><startdate>20190901</startdate><enddate>20190901</enddate><creator>Wu, Fanyi</creator><creator>Zhang, Hongliang</creator><creator>Di, Boya</creator><creator>Wu, Jianjun</creator><creator>Song, Lingyang</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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subjects | Algorithms Cellular communication Cellular networks Computer simulation Device-to-device communication Device-to-device unlicensed communications Geometric accuracy Geometry Long Term Evolution Mobile communication systems Quadratic programming sequential quadratic programming spectrum access stochastic geometry Stochastic processes Throughput Wireless communications Wireless fidelity |
title | Device-to-Device Communications Underlaying Cellular Networks: To Use Unlicensed Spectrum or Not? |
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