{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,2]],"date-time":"2022-04-02T08:11:50Z","timestamp":1648887110273},"reference-count":17,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2015,3,3]],"date-time":"2015-03-03T00:00:00Z","timestamp":1425340800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Wireless Com Network"],"published-print":{"date-parts":[[2015,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:p>In cognitive radar network, a parallel algorithm can allocate idle spectrum to cognitive radars, but it often ignores the user\u2019s requirement. According to the graph theory, the topology of the network is divided into two different groups. In the process of distributing spectrum, each group summarizes the distributed information after completing a distribution. When a user\u2019s demand is satisfied, every group is informed to not allocate the spectrum for the user anymore and deletes it from the topology at the same time. As a result, by deleting the node which the user\u2019s requirement has already been met, the other nodes which are interfered with the node on the same channel can participate into spectrum allocation. The improved algorithm can ensure high spectrum utilization taking a little time that is spent on the spectrum allocation. The simulation result shows that the spectrum utilization of the improved algorithm is higher than that of the traditional parallel algorithm, and the user\u2019s satisfaction increases greatly. Therefore, this paper aims to attempt to explore an improved parallel algorithm to resolve the problem by considering user\u2019s requirement.<\/jats:p>","DOI":"10.1186\/s13638-015-0285-6","type":"journal-article","created":{"date-parts":[[2015,3,2]],"date-time":"2015-03-02T10:30:28Z","timestamp":1425292228000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Research on an improved parallel algorithm based on user\u2019s requirement in cognitive radar network"],"prefix":"10.1186","volume":"2015","author":[{"given":"Bingxin","family":"Yan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shubin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuanyuan","family":"Bao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,3,3]]},"reference":[{"key":"285_CR1","unstructured":"W Wang, X Liu, List coloring based channel allocation for open spectrum wireless networks, in IEEE 62nd Vehicular Technology Conference (Dallas, TX, USA, 2005)"},{"key":"285_CR2","doi-asserted-by":"crossref","unstructured":"L Qilian, Radar sensor wireless channel modeling in foliage environment: UWB versus narrowband. IEEE Sensors Journal. 1448\u20131457 (2011). doi:10.1109\/JSEN.2010.2097586","DOI":"10.1109\/JSEN.2010.2097586"},{"key":"285_CR3","doi-asserted-by":"crossref","unstructured":"L Jing, L Qilian, Design and analysis of distributed radar sensor networks. IEEE Trans on Parallel and Distributed Processing. 1926\u20131933 (2011). doi:10.1109\/TPDS.2011.45","DOI":"10.1109\/TPDS.2011.45"},{"key":"285_CR4","unstructured":"H Zheng, C Peng, Collaboration and Fairness in Opportunistic Spectrum Access, in the 2005 IEEE International Conference on Communications (Seoul, Korea, 2005)"},{"key":"285_CR5","doi-asserted-by":"crossref","unstructured":"C Peng, H Zheng, B Zhao, Utilization and fairness in spectrum assignment for opportunistic spectrum access. Mobile Netw. Appl. 555\u2013576 (2006). doi:10.1007\/s11036-006-7322-y","DOI":"10.1007\/s11036-006-7322-y"},{"key":"285_CR6","unstructured":"Y Liu, M Jiang, X Tan, Time Overhead and Fairness in Spectrum Allocation for Cognitive Radio, in 2011 the 6th International ICST Conference on Communications and Networking in China (Harbin, China, 2011)"},{"key":"285_CR7","unstructured":"JD Poston, WD Horne, Discontinuous OFDM considerations for dynamic spectrum access in Idle TV Channels, in the 1rd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (Baltimore, MD, USA, 2005)"},{"key":"285_CR8","first-page":"745","volume-title":"A Survey of Radio Resource Management for Spectrum Aggregation in LTE- Advanced, IEEE Communications Surveys & utorials","author":"H Lee","year":"2013","unstructured":"H Lee, S Vahid, K Moessner, A Survey of Radio Resource Management for Spectrum Aggregation in LTE- Advanced, IEEE Communications Surveys & utorials, 2013, pp. 745\u2013760. doi:10.1109\/SURV.2013.101813. 00275"},{"key":"285_CR9","doi-asserted-by":"crossref","unstructured":"F Sheng, L Ma, X Tan, C Yin, Y Yu, Spectrum Allocation Algorithm Aware Spectrum Aggregation in Cognitive Radio Networks, in 2013 the Third International Conference on Instrumentation, Measurement, Computer, Communication and Control (Shenyang, China, 2013)","DOI":"10.1109\/IMCCC.2013.24"},{"key":"285_CR10","doi-asserted-by":"crossref","unstructured":"C Zhao, M Zou, B Shen, B Kim, K Kwak, Cooperative spectrum allocation in centralized cognitive networks using bipartite matching, in the IEEE Global Telecommunications Conference (New Orleans, LO, USA, 2008)","DOI":"10.1109\/GLOCOM.2008.ECP.575"},{"key":"285_CR11","doi-asserted-by":"publisher","first-page":"1017","DOI":"10.1007\/978-3-642-03718-4_125","volume-title":"Software Engineering and Knowledge Engineering: Theory and Practice","author":"S Zhang","year":"2012","unstructured":"S Zhang, P Ren, C Zhang, in Software Engineering and Knowledge Engineering: Theory and Practice, ed. by W Yanwen (Springer, Berlin Heidelberg, 2012), p. 1017"},{"key":"285_CR12","doi-asserted-by":"crossref","unstructured":"L Yang, X Xie, Y Zheng, A Historical-information-based algorithm in dynamic spectrum allocation, in the IEEE International Conference on Communication Software and Networks (Macau, China, 2009)","DOI":"10.1109\/ICCSN.2009.18"},{"key":"285_CR13","doi-asserted-by":"crossref","unstructured":"Y Wang, Z Wei, H Du, L Sang, D Yang, A spectrum allocation algorithm based on bandwidth matching and interference avoidance in cognitive radio networks, in the IEEE 23rd International Symposium on Personal Indoor and Mobile Radio Communications (Sydney, Australia, 2012)","DOI":"10.1109\/PIMRC.2012.6362921"},{"key":"285_CR14","first-page":"1620","volume-title":"IEEE Transactions on Wireless Communications","author":"C Wang","year":"2009","unstructured":"C Wang, X Hong, H Chen, J Thompson, On capacity of cognitive radio networks with average interference power constraints, in IEEE Transactions on Wireless Communications, 2009, pp. 1620\u20131625. doi:10.1109\/ TWC.2009.071075"},{"key":"285_CR15","doi-asserted-by":"crossref","unstructured":"A Hoang, Y Liang, Maximizing spectrum utilization of cognitive radio networks using channel allocation and power control, in the IEEE 64th Vehicular Technology Conference (Montr\u00e9al, Qu\u00e9bec, Canada, 2006)","DOI":"10.1109\/VTCF.2006.257"},{"key":"285_CR16","doi-asserted-by":"crossref","unstructured":"H Gao, J Cao, Non-dominated sorting quantum particle swarm optimization and its application in cognitive radio spectrum allocation. Journal of Central South University. 1878\u20131888 (2013). doi:10.1007\/s11771-013-1686\u20135","DOI":"10.1007\/s11771-013-1686-5"},{"key":"285_CR17","doi-asserted-by":"crossref","unstructured":"AYS Lam, VOK Li, Chemical reaction optimization for cognitive radar spectrum allocation, in the IEEE Global Telecommunications Conference (Miami, Florida, USA, 2010)","DOI":"10.1109\/GLOCOM.2010.5684065"}],"container-title":["EURASIP Journal on Wireless Communications and Networking"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s13638-015-0285-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s13638-015-0285-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s13638-015-0285-6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13638-015-0285-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,2]],"date-time":"2021-09-02T08:50:17Z","timestamp":1630572617000},"score":1,"resource":{"primary":{"URL":"https:\/\/jwcn-eurasipjournals.springeropen.com\/articles\/10.1186\/s13638-015-0285-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,3,3]]},"references-count":17,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2015,12]]}},"alternative-id":["285"],"URL":"https:\/\/doi.org\/10.1186\/s13638-015-0285-6","relation":{},"ISSN":["1687-1499"],"issn-type":[{"value":"1687-1499","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,3,3]]},"assertion":[{"value":"21 August 2014","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 February 2015","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 March 2015","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"47"}}