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This article proposes a new method to optimize the overall performance in cooperative spectrum sensing in cognitive radio (CR) networks. An efficient recursive least square (ERLS)-based approach is proposed in order to optimize the overall performance to monitor the primary user active or inactive stage with use of secondary user while receiving data. An energy detector (ED) and multi-taper (MTM) spectrum sensing techniques are examined as local spectrum sensing techniques. Finally, a genetic algorithm is compared with the proposed system to show the system effectiveness.<\/jats:p>","DOI":"10.4018\/ijbdcn.2019070101","type":"journal-article","created":{"date-parts":[[2019,5,14]],"date-time":"2019-05-14T18:00:58Z","timestamp":1557856858000},"page":"1-14","source":"Crossref","is-referenced-by-count":0,"title":["Efficient Recursive Least Square Technique for Spectrum Sensing in Cognitive Radio Networks"],"prefix":"10.4018","volume":"15","author":[{"given":"Bommidi","family":"Sridhar","sequence":"first","affiliation":[{"name":"JNTUH, Hyderabad, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Srinivasulu","family":"Tadisetty","sequence":"additional","affiliation":[{"name":"Kakatiya University, Warangal, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"2432","reference":[{"key":"IJBDCN.2019070101-0","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2016.2631080"},{"key":"IJBDCN.2019070101-1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2017.01.001"},{"key":"IJBDCN.2019070101-2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDECOM.2011.5738461"},{"key":"IJBDCN.2019070101-3","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2016.03.088"},{"key":"IJBDCN.2019070101-4","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2016.03.088"},{"key":"IJBDCN.2019070101-5","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2016.03.088"},{"key":"IJBDCN.2019070101-6","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2016.09.002"},{"key":"IJBDCN.2019070101-7","unstructured":"Cheng, Z., Wang, S., Wang, D., & Yan, S. 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