Computation energy efficiency maximization based resource allocation scheme in wireless powered mobile edge computing network
For wireless powered mobile edge computing (MEC) network,a system computation energy efficiency (CEE) maximization scheme by considering the limited computation capacity at the MEC server side was proposed.Specifically,a CEE maximization optimization problem was formulated by jointly optimizing the...
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| Format: | Article |
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Editorial Department of Journal on Communications
2020-10-01
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| Series: | Tongxin xuebao |
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| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020182/ |
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| author | Liqin SHI Yinghui YE Guangyue LU |
| author_facet | Liqin SHI Yinghui YE Guangyue LU |
| author_sort | Liqin SHI |
| collection | DOAJ |
| description | For wireless powered mobile edge computing (MEC) network,a system computation energy efficiency (CEE) maximization scheme by considering the limited computation capacity at the MEC server side was proposed.Specifically,a CEE maximization optimization problem was formulated by jointly optimizing the computing frequencies and execution time of the MEC server and the edge user(EU),the transmit power and offloading time of each EU,the energy harvesting time and the transmit power of the power beacon.Since the formulated optimization problem was a non-convex fractional optimization problem and hard to solve,the formulated problem was firstly transformed into a non-convex subtraction problem by means of the generalized fractional programming theory and then transform the subtraction problem into an equivalent convex problem by introducing a series of auxiliary variables.On this basis,an iterative algorithm to obtain the optimal solutions was proposed.Simulation results verify the fast convergence of the proposed algorithm and show that the proposed resource allocation scheme can achieve a higher CEE by comparing with other schemes. |
| format | Article |
| id | doaj-art-9fc3b1079f3043528ddf486bd96ad8c9 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2020-10-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-9fc3b1079f3043528ddf486bd96ad8c92025-01-14T07:20:03ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2020-10-0141596959737834Computation energy efficiency maximization based resource allocation scheme in wireless powered mobile edge computing networkLiqin SHIYinghui YEGuangyue LUFor wireless powered mobile edge computing (MEC) network,a system computation energy efficiency (CEE) maximization scheme by considering the limited computation capacity at the MEC server side was proposed.Specifically,a CEE maximization optimization problem was formulated by jointly optimizing the computing frequencies and execution time of the MEC server and the edge user(EU),the transmit power and offloading time of each EU,the energy harvesting time and the transmit power of the power beacon.Since the formulated optimization problem was a non-convex fractional optimization problem and hard to solve,the formulated problem was firstly transformed into a non-convex subtraction problem by means of the generalized fractional programming theory and then transform the subtraction problem into an equivalent convex problem by introducing a series of auxiliary variables.On this basis,an iterative algorithm to obtain the optimal solutions was proposed.Simulation results verify the fast convergence of the proposed algorithm and show that the proposed resource allocation scheme can achieve a higher CEE by comparing with other schemes.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020182/computation energy efficiencyedge computingwireless power transfer |
| spellingShingle | Liqin SHI Yinghui YE Guangyue LU Computation energy efficiency maximization based resource allocation scheme in wireless powered mobile edge computing network Tongxin xuebao computation energy efficiency edge computing wireless power transfer |
| title | Computation energy efficiency maximization based resource allocation scheme in wireless powered mobile edge computing network |
| title_full | Computation energy efficiency maximization based resource allocation scheme in wireless powered mobile edge computing network |
| title_fullStr | Computation energy efficiency maximization based resource allocation scheme in wireless powered mobile edge computing network |
| title_full_unstemmed | Computation energy efficiency maximization based resource allocation scheme in wireless powered mobile edge computing network |
| title_short | Computation energy efficiency maximization based resource allocation scheme in wireless powered mobile edge computing network |
| title_sort | computation energy efficiency maximization based resource allocation scheme in wireless powered mobile edge computing network |
| topic | computation energy efficiency edge computing wireless power transfer |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020182/ |
| work_keys_str_mv | AT liqinshi computationenergyefficiencymaximizationbasedresourceallocationschemeinwirelesspoweredmobileedgecomputingnetwork AT yinghuiye computationenergyefficiencymaximizationbasedresourceallocationschemeinwirelesspoweredmobileedgecomputingnetwork AT guangyuelu computationenergyefficiencymaximizationbasedresourceallocationschemeinwirelesspoweredmobileedgecomputingnetwork |