An Efficiency Maximization Design for SWIPT
A joint power splitting and beamforming design for multiuser multiple-input single-output (MISO) systems where receivers have capability of decoding information and harvesting energy simultaneously from received signals is considered. The objective is to maximize the ratio of the achieved utility to...
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| Veröffentlicht in: | IEEE signal processing letters 2015-12, Vol.22 (12), p.2189-2193 |
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| container_title | IEEE signal processing letters |
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| creator | Quang-Doanh Vu Le-Nam Tran Farrell, Ronan Een-Kee Hong |
| description | A joint power splitting and beamforming design for multiuser multiple-input single-output (MISO) systems where receivers have capability of decoding information and harvesting energy simultaneously from received signals is considered. The objective is to maximize the ratio of the achieved utility to the total power consumption subject to harvested power requirements and power budget at a base station (BS). The utility function of interest combines the sum rate and the total harvested power. The design problem is nonconvex, and thus, global optimality is difficult to achieve. To solve this problem locally we first convert the problem into a more tractable form, and then propose an iterative algorithm which is guaranteed to achieve a Karush-Kuhn-Tucker solution. Numerical results are provided to demonstrate the superior performance of the proposed method. |
| doi_str_mv | 10.1109/LSP.2015.2464082 |
| format | Article |
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The objective is to maximize the ratio of the achieved utility to the total power consumption subject to harvested power requirements and power budget at a base station (BS). The utility function of interest combines the sum rate and the total harvested power. The design problem is nonconvex, and thus, global optimality is difficult to achieve. To solve this problem locally we first convert the problem into a more tractable form, and then propose an iterative algorithm which is guaranteed to achieve a Karush-Kuhn-Tucker solution. 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The objective is to maximize the ratio of the achieved utility to the total power consumption subject to harvested power requirements and power budget at a base station (BS). The utility function of interest combines the sum rate and the total harvested power. The design problem is nonconvex, and thus, global optimality is difficult to achieve. To solve this problem locally we first convert the problem into a more tractable form, and then propose an iterative algorithm which is guaranteed to achieve a Karush-Kuhn-Tucker solution. Numerical results are provided to demonstrate the superior performance of the proposed method.</description><subject>Array signal processing</subject><subject>Decoding</subject><subject>Energy harvesting</subject><subject>fractional problem</subject><subject>iterative algorithm</subject><subject>Iterative methods</subject><subject>Joints</subject><subject>linear precoding</subject><subject>Optimization</subject><subject>Power measurement</subject><subject>power splitting</subject><subject>Receivers</subject><issn>1070-9908</issn><issn>1558-2361</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9j0tLAzEUhYMoWKt7wc3sZeq9eUySZalVCyMWWnEZYuZGInZGJl1Yf71TWlydszgPPsauESaIYO_q1XLCAdWEy0qC4SdshEqZkosKTwcPGkprwZyzi5w_AcCgUSN2O22LeYwpJGrDrnj2P2mTfv02dW1xTzl9tEXs-mL1tliuL9lZ9F-Zro46Zq8P8_XsqaxfHhezaV0GAWpbNjqKqKwOhFJLy0VQDVVEohJWSZCG3itslPWcG-MhCiuNQgoVhtAQNWLM4LAb-i7nnqL77tPG9zuH4PawboB1e1h3hB0qN4dKIqL_uMbhX4P4A8avTsA</recordid><startdate>201512</startdate><enddate>201512</enddate><creator>Quang-Doanh Vu</creator><creator>Le-Nam Tran</creator><creator>Farrell, Ronan</creator><creator>Een-Kee Hong</creator><general>IEEE</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>201512</creationdate><title>An Efficiency Maximization Design for SWIPT</title><author>Quang-Doanh Vu ; Le-Nam Tran ; Farrell, Ronan ; Een-Kee Hong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c305t-d7f3f597ce1474923c5de6ee363954048eb61d59a2288a0f394851ec61ccdeed3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Array signal processing</topic><topic>Decoding</topic><topic>Energy harvesting</topic><topic>fractional problem</topic><topic>iterative algorithm</topic><topic>Iterative methods</topic><topic>Joints</topic><topic>linear precoding</topic><topic>Optimization</topic><topic>Power measurement</topic><topic>power splitting</topic><topic>Receivers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Quang-Doanh Vu</creatorcontrib><creatorcontrib>Le-Nam Tran</creatorcontrib><creatorcontrib>Farrell, Ronan</creatorcontrib><creatorcontrib>Een-Kee Hong</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>CrossRef</collection><jtitle>IEEE signal processing letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Quang-Doanh Vu</au><au>Le-Nam Tran</au><au>Farrell, Ronan</au><au>Een-Kee Hong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Efficiency Maximization Design for SWIPT</atitle><jtitle>IEEE signal processing letters</jtitle><stitle>LSP</stitle><date>2015-12</date><risdate>2015</risdate><volume>22</volume><issue>12</issue><spage>2189</spage><epage>2193</epage><pages>2189-2193</pages><issn>1070-9908</issn><eissn>1558-2361</eissn><coden>ISPLEM</coden><abstract>A joint power splitting and beamforming design for multiuser multiple-input single-output (MISO) systems where receivers have capability of decoding information and harvesting energy simultaneously from received signals is considered. The objective is to maximize the ratio of the achieved utility to the total power consumption subject to harvested power requirements and power budget at a base station (BS). The utility function of interest combines the sum rate and the total harvested power. The design problem is nonconvex, and thus, global optimality is difficult to achieve. To solve this problem locally we first convert the problem into a more tractable form, and then propose an iterative algorithm which is guaranteed to achieve a Karush-Kuhn-Tucker solution. Numerical results are provided to demonstrate the superior performance of the proposed method.</abstract><pub>IEEE</pub><doi>10.1109/LSP.2015.2464082</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Array signal processing Decoding Energy harvesting fractional problem iterative algorithm Iterative methods Joints linear precoding Optimization Power measurement power splitting Receivers |
| title | An Efficiency Maximization Design for SWIPT |
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