{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T16:45:36Z","timestamp":1781109936493,"version":"3.54.1"},"reference-count":20,"publisher":"IGI Global Scientific Publishing","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,7]]},"abstract":"<jats:p>In order to improve outage property of cooperative communication system, directional antenna technology could be introduced. The paper proposes single relay AF cooperative communication protocol based on directional antenna and deduces the outage probability of system in fully directional mode theoretically so as to deduce the lower bound. With the minimum system outage probability to be the target, the paper analyzes OPA (Optimum Power Allocation) and makes detailed analysis and comparison of the system property of the established model by combining with specific simulation value. The simulation result shows that on the condition of high SNR (Signal to Noise Ratio) or greater difference of channel coefficient between two terminals and relay, the lower bound and accurate value are approximated and the outage property of fully directional cooperative communication is superior to that of traditional mode. Under the situation of limited power, OPA can enhance the outage property of system effectively.<\/jats:p>","DOI":"10.4018\/ijbdcn.2017070105","type":"journal-article","created":{"date-parts":[[2017,5,3]],"date-time":"2017-05-03T12:20:31Z","timestamp":1493814031000},"page":"55-68","source":"Crossref","is-referenced-by-count":1,"title":["Directional AF Cooperative Communication System Based on Outage Probability"],"prefix":"10.4018","volume":"13","author":[{"given":"Ruilian","family":"Tan","sequence":"first","affiliation":[{"name":"Air Force Engineering University, Xi'an, China and Engineering University of the Armed Police Force, Xi'an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhe","family":"Li","sequence":"additional","affiliation":[{"name":"Air Force Engineering University, Xi'an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peng","family":"Bai","sequence":"additional","affiliation":[{"name":"Air Force Engineering University, Xi'an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kai","family":"Shi","sequence":"additional","affiliation":[{"name":"The Military Representative Office of PLA, Chengdu Aircraft Industrial Company, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Baoxiang","family":"Ren","sequence":"additional","affiliation":[{"name":"Air Force Engineering University, Xi'an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuhua","family":"Wang","sequence":"additional","affiliation":[{"name":"Air Force Engineering University, Xi'an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"ijbdcn.2017070105-0","doi-asserted-by":"publisher","DOI":"10.1504\/IJSSC.2015.069204"},{"issue":"3","key":"ijbdcn.2017070105-1","first-page":"122","article-title":"Using adaptive neural networks to provide self-healing autonomic software.","volume":"5","year":"2015","journal-title":"International Journal of Space-Based and Situated Computing"},{"key":"ijbdcn.2017070105-2","doi-asserted-by":"crossref","unstructured":"Annavajjala, R., Cosman, P. 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