A tradeoff between throughput and energy efficiency for D2D underlaying communication systems
Device-to-device (D2D) underlaying communication systems can improve the system throughput. However, the spectrum reuse will bring the co-channel interference, which will make it difficult to improve both the energy efficiency and the system throughput. In order to balance the energy efficiency and...
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| Veröffentlicht in: | Telecommunication systems 2019-12, Vol.72 (4), p.633-639 |
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| creator | Sun, Yongjun Wu, Wanting Zuo, Xiaojing Liu, Zujun |
| description | Device-to-device (D2D) underlaying communication systems can improve the system throughput. However, the spectrum reuse will bring the co-channel interference, which will make it difficult to improve both the energy efficiency and the system throughput. In order to balance the energy efficiency and the system throughput, this letter proposes a new resource allocation strategy. First, a mode selection scheme is proposed by delimiting the D2D interference-restricted area. Then a distance-based resource allocation method is proposed to increase the system throughput. Finally, by modifying the objective function and applying the differential evolution algorithm for power optimization, the higher energy efficiency is obtained while the system throughput approaches the maximum value. Simulation results show that compared with the traditional stochastic resource allocation scheme, the proposed scheme can improve the system throughput. Moreover, the proposed algorithm can make the system throughput close to the maxima while obtaining higher energy efficiency. |
| doi_str_mv | 10.1007/s11235-019-00621-4 |
| format | Article |
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However, the spectrum reuse will bring the co-channel interference, which will make it difficult to improve both the energy efficiency and the system throughput. In order to balance the energy efficiency and the system throughput, this letter proposes a new resource allocation strategy. First, a mode selection scheme is proposed by delimiting the D2D interference-restricted area. Then a distance-based resource allocation method is proposed to increase the system throughput. Finally, by modifying the objective function and applying the differential evolution algorithm for power optimization, the higher energy efficiency is obtained while the system throughput approaches the maximum value. Simulation results show that compared with the traditional stochastic resource allocation scheme, the proposed scheme can improve the system throughput. 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However, the spectrum reuse will bring the co-channel interference, which will make it difficult to improve both the energy efficiency and the system throughput. In order to balance the energy efficiency and the system throughput, this letter proposes a new resource allocation strategy. First, a mode selection scheme is proposed by delimiting the D2D interference-restricted area. Then a distance-based resource allocation method is proposed to increase the system throughput. Finally, by modifying the objective function and applying the differential evolution algorithm for power optimization, the higher energy efficiency is obtained while the system throughput approaches the maximum value. Simulation results show that compared with the traditional stochastic resource allocation scheme, the proposed scheme can improve the system throughput. Moreover, the proposed algorithm can make the system throughput close to the maxima while obtaining higher energy efficiency.</description><subject>Artificial Intelligence</subject><subject>Business and Management</subject><subject>Cochannel interference</subject><subject>Communications systems</subject><subject>Computer Communication Networks</subject><subject>Computer simulation</subject><subject>Energy efficiency</subject><subject>Energy management</subject><subject>Evolutionary algorithms</subject><subject>Evolutionary computation</subject><subject>IT in Business</subject><subject>Letter to the Editor</subject><subject>Maxima</subject><subject>Modal choice</subject><subject>Optimization</subject><subject>Power efficiency</subject><subject>Power management</subject><subject>Probability Theory and Stochastic Processes</subject><subject>Resource allocation</subject><subject>Simulation</subject><subject>Telecommunications systems</subject><issn>1018-4864</issn><issn>1572-9451</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kEtLAzEUhYMoWB9_wFXAdTSZyaNZltYXFNzoUkImj-mUNqlJBpl_79QR3Lm6Z3G-c-ED4IbgO4KxuM-EVDVDmEiEMa8IoidgRpiokKSMnI4Zkzmic07PwUXOW4yPmJyBjwUsSVsXvYeNK1_OBVg2Kfbt5tAXqIOFLrjUDtB535nOBTNAHxNcVSvYB-vSTg9daKGJ-30fOqNLFwPMQy5un6_Amde77K5_7yV4f3x4Wz6j9evTy3KxRqYmsqDaUsZlQxvPbUMx85hi7uScCUIstcxrzE0jrLWicVIILUxFvJSsbrCxXtaX4HbaPaT42btc1Db2KYwvVVVjyYmggo-tamqZFHNOzqtD6vY6DYpgdfShJo1q1Kh-NCo6QvUE5bEcWpf-pv-hvgGl6XaH</recordid><startdate>20191201</startdate><enddate>20191201</enddate><creator>Sun, Yongjun</creator><creator>Wu, Wanting</creator><creator>Zuo, Xiaojing</creator><creator>Liu, Zujun</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7SP</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M2P</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20191201</creationdate><title>A tradeoff between throughput and energy efficiency for D2D underlaying communication systems</title><author>Sun, Yongjun ; 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However, the spectrum reuse will bring the co-channel interference, which will make it difficult to improve both the energy efficiency and the system throughput. In order to balance the energy efficiency and the system throughput, this letter proposes a new resource allocation strategy. First, a mode selection scheme is proposed by delimiting the D2D interference-restricted area. Then a distance-based resource allocation method is proposed to increase the system throughput. Finally, by modifying the objective function and applying the differential evolution algorithm for power optimization, the higher energy efficiency is obtained while the system throughput approaches the maximum value. Simulation results show that compared with the traditional stochastic resource allocation scheme, the proposed scheme can improve the system throughput. 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| subjects | Artificial Intelligence Business and Management Cochannel interference Communications systems Computer Communication Networks Computer simulation Energy efficiency Energy management Evolutionary algorithms Evolutionary computation IT in Business Letter to the Editor Maxima Modal choice Optimization Power efficiency Power management Probability Theory and Stochastic Processes Resource allocation Simulation Telecommunications systems |
| title | A tradeoff between throughput and energy efficiency for D2D underlaying communication systems |
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