Achieving the Maximum Sum Rate Using D.C. Programming in Cellular Networks
Intercell interference is the major limitation to the performance of future cellular systems. Despite the joint detection and joint transmission techniques aiming at interference cancellation which suffer from the limited possible cooperation among the nodes, power allocation is a promising approach...
Uloženo v:
| Vydáno v: | IEEE transactions on signal processing Ročník 60; číslo 3; s. 1331 - 1341 |
|---|---|
| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
New York, NY
IEEE
01.03.2012
Institute of Electrical and Electronics Engineers |
| Témata: | |
| ISSN: | 1053-587X, 1941-0476 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | Intercell interference is the major limitation to the performance of future cellular systems. Despite the joint detection and joint transmission techniques aiming at interference cancellation which suffer from the limited possible cooperation among the nodes, power allocation is a promising approach for optimizing the system performance. If the interference is treated as noise, the power allocation optimization problem aiming at maximizing the sum rate with a total power constraint is nonconvex and up to now an open problem. In the present paper, the solution is found by reformulating the nonconvex objective function of the sum rate as a difference of two concave functions. A globally optimum power allocation is found by applying a branch-and-bound algorithm to the new formulation. In principle, the algorithm partitions the feasible region recursively into subregions where for every subregion the objective function is upper and lower bounded. For each subregion, a linear program is applied for estimating the upper bound of the sum rate which is derived from a convex maximization formulation of the problem with piecewise linearly approximated constraints. The performance is investigated by system-level simulations. The results show that the proposed algorithm outperforms the known conventional suboptimum schemes. Furthermore, it is shown that the algorithm asymptotically converges to a globally optimum power allocation. |
|---|---|
| AbstractList | Intercell interference is the major limitation to the performance of future cellular systems. Despite the joint detection and joint transmission techniques aiming at interference cancellation which suffer from the limited possible cooperation among the nodes, power allocation is a promising approach for optimizing the system performance. If the interference is treated as noise, the power allocation optimization problem aiming at maximizing the sum rate with a total power constraint is nonconvex and up to now an open problem. In the present paper, the solution is found by reformulating the nonconvex objective function of the sum rate as a difference of two concave functions. A globally optimum power allocation is found by applying a branch-and-bound algorithm to the new formulation. In principle, the algorithm partitions the feasible region recursively into subregions where for every subregion the objective function is upper and lower bounded. For each subregion, a linear program is applied for estimating the upper bound of the sum rate which is derived from a convex maximization formulation of the problem with piecewise linearly approximated constraints. The performance is investigated by system-level simulations. The results show that the proposed algorithm outperforms the known conventional suboptimum schemes. Furthermore, it is shown that the algorithm asymptotically converges to a globally optimum power allocation. |
| Author | Weber, T. Al-Shatri, H. |
| Author_xml | – sequence: 1 givenname: H. surname: Al-Shatri fullname: Al-Shatri, H. email: hussein.al-shatri@uni-rostock.de organization: Inst. of Commun. Eng., Univ. of Rostock, Rostock, Germany – sequence: 2 givenname: T. surname: Weber fullname: Weber, T. organization: Inst. of Commun. Eng., Univ. of Rostock, Rostock, Germany |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25512642$$DView record in Pascal Francis |
| BookMark | eNp9kDtPwzAUhS0EEm1hR2LJwpjgV-J4rMJbBSraSmzWjXFaQx6VnfL49yRqYWBguLqvc87wDdF-3dQGoROCI0KwPJ_PphHFhESUCJFSvocGRHISYi6S_W7GMQvjVDwfoqH3rxgTzmUyQHdjvbLm3dbLoF2Z4B4-bbWpgllXT9CaYOH710WURcHUNUsHVdUfbB1kpiw3JbjgwbQfjXvzR-iggNKb410focXV5Ty7CSeP17fZeBJqKlkbcpCaYiCQ5znDmuEkp6kWiTYaC0hfcB5LwhnPWS4LJhPGCii04KkRJIVuHaGzbe4avIaycFBr69Xa2Qrcl6JxTGjCaadLtjrtGu-dKZS2LbS2qVsHtlQEq56c6sipnpzakeuM-I_xJ_sfy-nWYo0xv_IESyaFYN-mCnoY |
| CODEN | ITPRED |
| CitedBy_id | crossref_primary_10_1109_ACCESS_2015_2464352 crossref_primary_10_1109_TWC_2015_2438292 crossref_primary_10_1016_j_jnca_2015_05_005 crossref_primary_10_1109_ACCESS_2024_3483297 crossref_primary_10_1109_JSAC_2014_2361079 crossref_primary_10_1109_ACCESS_2021_3132260 crossref_primary_10_1109_TSP_2016_2637317 crossref_primary_10_1109_TWC_2020_3003414 crossref_primary_10_1109_TWC_2023_3271665 crossref_primary_10_1007_s11590_020_01696_8 crossref_primary_10_1109_TWC_2016_2585139 crossref_primary_10_1109_TMC_2020_3017137 crossref_primary_10_1109_TSP_2017_2675862 crossref_primary_10_1016_j_cor_2016_11_003 crossref_primary_10_1007_s11277_017_4809_8 crossref_primary_10_1109_JSYST_2020_3036275 crossref_primary_10_1109_TWC_2016_2517632 crossref_primary_10_1002_ett_2949 crossref_primary_10_1007_s40595_013_0010_5 crossref_primary_10_1109_TWC_2014_042314_130981 crossref_primary_10_1109_JSYST_2019_2956177 crossref_primary_10_1109_TWC_2020_2996368 crossref_primary_10_1109_JSAC_2016_2624078 crossref_primary_10_1109_TSP_2014_2315167 crossref_primary_10_1109_TWC_2020_3010522 |
| Cites_doi | 10.1137/S1052623499359828 10.1109/90.993307 10.1109/SSP.2007.4301310 10.1007/BF00119991 10.1109/TWC.2007.060675 10.1109/TWC.2009.080649 10.1007/978-1-4615-0015-5 10.1007/978-3-662-03199-5 10.1145/1271.1276 10.1109/TCOMM.2006.877962 10.1109/TSP.2008.917378 10.1109/TSP.2008.924796 10.1109/JSAC.2002.1007390 10.1017/CBO9780511804441 10.1109/TCOMM.2010.07.090068 10.1109/TIT.2008.2011433 10.1023/A:1021765131316 10.1109/TWC.2007.05960 10.1109/GLOCOM.2010.5683826 10.1109/JSAC.2011.110214 |
| ContentType | Journal Article |
| Copyright | 2015 INIST-CNRS |
| Copyright_xml | – notice: 2015 INIST-CNRS |
| DBID | 97E RIA RIE AAYXX CITATION IQODW |
| DOI | 10.1109/TSP.2011.2177824 |
| DatabaseName | IEEE Xplore (IEEE) IEEE All-Society Periodicals Package (ASPP) 1998–Present IEEE Electronic Library (IEL) CrossRef Pascal-Francis |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: RIE name: IEEE Xplore url: https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Applied Sciences |
| EISSN | 1941-0476 |
| EndPage | 1341 |
| ExternalDocumentID | 25512642 10_1109_TSP_2011_2177824 6093977 |
| Genre | orig-research |
| GroupedDBID | -~X .DC 0R~ 29I 3EH 4.4 53G 5GY 5VS 6IK 85S 97E AAJGR AARMG AASAJ AAWTH ABAZT ABFSI ABQJQ ABVLG ACGFO ACIWK ACKIV ACNCT AENEX AETIX AGQYO AGSQL AHBIQ AI. AIBXA AJQPL AKJIK AKQYR ALLEH ALMA_UNASSIGNED_HOLDINGS ASUFR ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ CS3 E.L EBS EJD F5P HZ~ H~9 ICLAB IFIPE IFJZH IPLJI JAVBF LAI MS~ O9- OCL P2P RIA RIE RNS TAE TN5 VH1 AAYXX CITATION IQODW RIG |
| ID | FETCH-LOGICAL-c293t-4a9c20a1abbb30c306b28c76cec07a8d0b591434b3b9f39633fafc748e718a633 |
| IEDL.DBID | RIE |
| ISICitedReferencesCount | 39 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000300424500028&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1053-587X |
| IngestDate | Mon Jul 21 09:14:38 EDT 2025 Sat Nov 29 04:10:22 EST 2025 Tue Nov 18 22:20:45 EST 2025 Tue Aug 26 16:56:50 EDT 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 3 |
| Keywords | Performance evaluation Mobile radiocommunication Lower bound Noise reduction Branch and bound method Wireless telecommunication interference channel Cell network Algorithm Power allocation Convex programming Optimization Joint detection Interference suppression D.C. programming Upper bound Simulation Telecommunication network Recursive method Signal processing Objective function Branch-and-bound algorithm Intercell interference |
| Language | English |
| License | https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html CC BY 4.0 |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c293t-4a9c20a1abbb30c306b28c76cec07a8d0b591434b3b9f39633fafc748e718a633 |
| PageCount | 11 |
| ParticipantIDs | crossref_primary_10_1109_TSP_2011_2177824 crossref_citationtrail_10_1109_TSP_2011_2177824 ieee_primary_6093977 pascalfrancis_primary_25512642 |
| PublicationCentury | 2000 |
| PublicationDate | 2012-03-01 |
| PublicationDateYYYYMMDD | 2012-03-01 |
| PublicationDate_xml | – month: 03 year: 2012 text: 2012-03-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | New York, NY |
| PublicationPlace_xml | – name: New York, NY |
| PublicationTitle | IEEE transactions on signal processing |
| PublicationTitleAbbrev | TSP |
| PublicationYear | 2012 |
| Publisher | IEEE Institute of Electrical and Electronics Engineers |
| Publisher_xml | – name: IEEE – name: Institute of Electrical and Electronics Engineers |
| References | ref13 ref12 ref15 ref11 ref2 koskie (ref25) 2006; 13 ref17 ref16 ref19 ref18 al-shatri (ref21) 2011 vucic (ref10) 2010 ref24 ref23 ref26 tan (ref14) 2009 ref20 ref22 al-shatri (ref3) 2009 ref8 ref7 ref9 cover (ref1) 2006 ref4 ref6 ref5 |
| References_xml | – ident: ref12 doi: 10.1137/S1052623499359828 – start-page: 2669 year: 2009 ident: ref14 article-title: Maximazing sum rate and minimizing MSE on multiuser downlink: Optimality, fast algorithms and equivalence via max-min SIR publication-title: Proc IEEE Int Symp Inf Theory – ident: ref2 doi: 10.1109/90.993307 – ident: ref16 doi: 10.1109/SSP.2007.4301310 – ident: ref22 doi: 10.1007/BF00119991 – ident: ref18 doi: 10.1109/TWC.2007.060675 – year: 2006 ident: ref1 publication-title: Elements of Information Theory – ident: ref11 doi: 10.1109/TWC.2009.080649 – start-page: 360 year: 2010 ident: ref10 article-title: DC programming approach for resource allocation in wireless networks publication-title: Proc 6th Workshop on Resource Allocation Wireless Netw – ident: ref5 doi: 10.1007/978-1-4615-0015-5 – ident: ref7 doi: 10.1007/978-3-662-03199-5 – start-page: 26 year: 2011 ident: ref21 article-title: Globally optimizing power allocation for maximum sum-rate in OFDM-based systems publication-title: Proc 16th Int OFDM-Workshop – start-page: 73 year: 2009 ident: ref3 article-title: Transmitter power allocation for optimizing sum capacity in interference channels publication-title: Proc 14th Int OFDM-Workshop – ident: ref24 doi: 10.1145/1271.1276 – ident: ref20 doi: 10.1109/TCOMM.2006.877962 – ident: ref17 doi: 10.1109/TSP.2008.917378 – ident: ref9 doi: 10.1109/TSP.2008.924796 – ident: ref26 doi: 10.1109/JSAC.2002.1007390 – ident: ref23 doi: 10.1017/CBO9780511804441 – ident: ref13 doi: 10.1109/TCOMM.2010.07.090068 – volume: 13 start-page: 187 year: 2006 ident: ref25 article-title: Signal to interference based power control for wireless networks: A survey, 1992-2005 publication-title: Dyn Continuous Discrete Impulsive Syst B App Algorithms – ident: ref4 doi: 10.1109/TIT.2008.2011433 – ident: ref6 doi: 10.1023/A:1021765131316 – ident: ref8 doi: 10.1109/TWC.2007.05960 – ident: ref19 doi: 10.1109/GLOCOM.2010.5683826 – ident: ref15 doi: 10.1109/JSAC.2011.110214 |
| SSID | ssj0014496 |
| Score | 2.2396584 |
| Snippet | Intercell interference is the major limitation to the performance of future cellular systems. Despite the joint detection and joint transmission techniques... |
| SourceID | pascalfrancis crossref ieee |
| SourceType | Index Database Enrichment Source Publisher |
| StartPage | 1331 |
| SubjectTerms | Applied sciences Approximation algorithms Branch-and-bound algorithm D.C. programming Detection, estimation, filtering, equalization, prediction Exact sciences and technology Information, signal and communications theory interference channel Interference channels Optimization power allocation Programming Resource management Signal and communications theory Signal to noise ratio Signal, noise Telecommunications and information theory |
| Title | Achieving the Maximum Sum Rate Using D.C. Programming in Cellular Networks |
| URI | https://ieeexplore.ieee.org/document/6093977 |
| Volume | 60 |
| WOSCitedRecordID | wos000300424500028&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVIEE databaseName: IEEE Xplore customDbUrl: eissn: 1941-0476 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0014496 issn: 1053-587X databaseCode: RIE dateStart: 19910101 isFulltext: true titleUrlDefault: https://ieeexplore.ieee.org/ providerName: IEEE |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1bS8MwFD5swwd98DbFeRl58EWwW7qmlzyO6RDBMdyEvZU0TXCwdbKL-PM9aWrZQAQfCr0koZzT8n0n-XIOwK1y_TBJeeRo148chhTZEVQwB7FbKuErZOC22EQ4GESTCR9W4L7cC6OUysVnqmVO87X8dCE3ZqqsHWD4jXylCtUwDOxerXLFgLG8FhfSBc_xo3DysyRJeXs8GtpcnUi_ERDZDgTlNVWMIlKs0CjaVrPYgpj-0f9e7hgOCypJutb3J1BR2SkcbCUYrMNzV75PlZkzIEj0yIv4ms43czLC4xVJJskFA-Sh1WuRoRVqzc2NaUZ6ajYzClUysDrx1Rm89R_HvSenqJ7gSITwtcMElx0qXJEkiUclhgZJJ5JhIJWkoYhSmvgcyRJLvIRrD_9DTwstQxYphCuBl-dQyxaZugCiGdcpEpOAKs50wCPqa-Q1LPWRMQlXNqD9Y9BYFqnFTYWLWZyHGJTH6ILYuCAuXNCAu7LHh02r8UfburF22a4wdAOaOz4rn2OQ5CLN61z-3u8K9nH0jtWRXUNtvdyoG9iTn-vpatnMP6pvrs3H_w |
| linkProvider | IEEE |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1bS8MwFD7MKagP3qY4r3nwRbBb2qZr8zimw8scQyfsraRpgoNtitvEn-9J05UJIvhQ6CUh5ZyW7zvJl3MALpQbhEnKI0e7QeQwpMiOoII5iN1SiUAhA7fFJsJuNxoMeK8EV8VeGKVUJj5TNXOareWnb3JupsrqDQy_ka-swGrAmEftbq1izYCxrBoXEgbfCaJwsFiUpLzef-7ZbJ1IwBES2Q8QyqqqGE2kmKJZtK1nsQQy7e3_vd4ObOVkkjSt93ehpCZ7sLmUYrAC9035OlRm1oAg1SOP4ms4no_JMx5PSDNJJhkg17VWjfSsVGtsbgwnpKVGI6NRJV2rFJ_uw0v7pt-6dfL6CY5EEJ85THDpUeGKJEl8KjE4SLxIhg2pJA1FlNIk4EiXWOInXPv4J_paaBmySCFgCbw8gPLkbaIOgWjGdYrUpEEVZ7rBIxpoZDYsDZAzCVdWob4waCzz5OKmxsUozoIMymN0QWxcEOcuqMJl0ePdJtb4o23FWLtolxu6Cmc_fFY8xzDJRaLnHf3e7xzWb_uPnbhz1304hg0cybOqshMozz7m6hTW5OdsOP04yz6wb0IBy0Y |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Achieving+the+Maximum+Sum+Rate+Using+D.C.+Programming+in+Cellular+Networks&rft.jtitle=IEEE+transactions+on+signal+processing&rft.au=Al-Shatri%2C+Hussein&rft.au=Weber%2C+Tobias&rft.date=2012-03-01&rft.issn=1053-587X&rft.eissn=1941-0476&rft.volume=60&rft.issue=3&rft.spage=1331&rft.epage=1341&rft_id=info:doi/10.1109%2FTSP.2011.2177824&rft.externalDBID=n%2Fa&rft.externalDocID=10_1109_TSP_2011_2177824 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1053-587X&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1053-587X&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1053-587X&client=summon |