Computation Efficiency Maximization in OFDMA-Based Mobile Edge Computing Networks
Computation-efficient resource allocation strategies are of crucial importance in mobile edge computing networks. However, few works have focused on this issue. In this letter, weighted sum computation efficiency (CE) maximization problems are formulated in a mobile edge computing (MEC) network with...
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| Veröffentlicht in: | IEEE communications letters 2020-01, Vol.24 (1), p.159-163 |
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| creator | Wu, Yuhang Wang, Yuhao Zhou, Fuhui Qingyang Hu, Rose |
| description | Computation-efficient resource allocation strategies are of crucial importance in mobile edge computing networks. However, few works have focused on this issue. In this letter, weighted sum computation efficiency (CE) maximization problems are formulated in a mobile edge computing (MEC) network with orthogonal frequency division multiple access (OFDMA). Both partial offloading mode and binary offloading mode are considered. The closed-form expressions for the optimal subchannel and power allocation schemes are derived. In order to address the intractable non-convex weighted sum-of ratio problems, an efficiently iterative algorithm is proposed. Simulation results demonstrate that the CE achieved by our proposed resource allocation scheme is better than that obtained by the benchmark schemes. |
| doi_str_mv | 10.1109/LCOMM.2019.2950013 |
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However, few works have focused on this issue. In this letter, weighted sum computation efficiency (CE) maximization problems are formulated in a mobile edge computing (MEC) network with orthogonal frequency division multiple access (OFDMA). Both partial offloading mode and binary offloading mode are considered. The closed-form expressions for the optimal subchannel and power allocation schemes are derived. In order to address the intractable non-convex weighted sum-of ratio problems, an efficiently iterative algorithm is proposed. 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However, few works have focused on this issue. In this letter, weighted sum computation efficiency (CE) maximization problems are formulated in a mobile edge computing (MEC) network with orthogonal frequency division multiple access (OFDMA). Both partial offloading mode and binary offloading mode are considered. The closed-form expressions for the optimal subchannel and power allocation schemes are derived. In order to address the intractable non-convex weighted sum-of ratio problems, an efficiently iterative algorithm is proposed. Simulation results demonstrate that the CE achieved by our proposed resource allocation scheme is better than that obtained by the benchmark schemes.</description><subject>computation efficiency</subject><subject>Computational efficiency</subject><subject>Computer simulation</subject><subject>Computing time</subject><subject>Edge computing</subject><subject>Energy consumption</subject><subject>Frequency division multiple access</subject><subject>Iterative algorithms</subject><subject>Iterative methods</subject><subject>Maximization</subject><subject>Mobile computing</subject><subject>Mobile edge computing</subject><subject>Optimization</subject><subject>Optimized production technology</subject><subject>orthogonal frequency division multiple access</subject><subject>Orthogonal Frequency Division Multiplexing</subject><subject>Power management</subject><subject>Resource allocation</subject><subject>Resource management</subject><subject>Servers</subject><subject>Simulation</subject><subject>Task analysis</subject><subject>Wireless networks</subject><issn>1089-7798</issn><issn>1558-2558</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kF1LwzAUhoMoOKd_QG8CXnfmo2mSy1k3FVaHoNchTdORuTUzadH56-3s8Oacw-E854UHgGuMJhgjebfIl0UxIQjLCZEMIUxPwAgzJhLSl9N-RkImnEtxDi5iXCOEBGF4BF5zv911rW6db-Csrp1xtjF7WOhvt3U_w941cDl_KKbJvY62goUv3cbCWbWycMBds4Ivtv3y4SNegrNab6K9OvYxeJ_P3vKnZLF8fM6ni8RQKttEp0TgtNKmFExyomlmZMlZhglnnAuNZa3rtGJCk9QSTA3PpKCmRAIjo6uMjsHt8HcX_GdnY6vWvgtNH6lIn0Bphvs6BmS4MsHHGGytdsFtddgrjNRBnfpTpw7q1FFdD90MkLPW_gNCiIwKSX8BpllpYA</recordid><startdate>202001</startdate><enddate>202001</enddate><creator>Wu, Yuhang</creator><creator>Wang, Yuhao</creator><creator>Zhou, Fuhui</creator><creator>Qingyang Hu, Rose</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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However, few works have focused on this issue. In this letter, weighted sum computation efficiency (CE) maximization problems are formulated in a mobile edge computing (MEC) network with orthogonal frequency division multiple access (OFDMA). Both partial offloading mode and binary offloading mode are considered. The closed-form expressions for the optimal subchannel and power allocation schemes are derived. In order to address the intractable non-convex weighted sum-of ratio problems, an efficiently iterative algorithm is proposed. Simulation results demonstrate that the CE achieved by our proposed resource allocation scheme is better than that obtained by the benchmark schemes.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/LCOMM.2019.2950013</doi><tpages>5</tpages><orcidid>https://orcid.org/0000-0002-8445-0361</orcidid><orcidid>https://orcid.org/0000-0001-6880-6244</orcidid><orcidid>https://orcid.org/0000-0002-1571-3631</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | computation efficiency Computational efficiency Computer simulation Computing time Edge computing Energy consumption Frequency division multiple access Iterative algorithms Iterative methods Maximization Mobile computing Mobile edge computing Optimization Optimized production technology orthogonal frequency division multiple access Orthogonal Frequency Division Multiplexing Power management Resource allocation Resource management Servers Simulation Task analysis Wireless networks |
| title | Computation Efficiency Maximization in OFDMA-Based Mobile Edge Computing Networks |
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