{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,5]],"date-time":"2026-04-05T21:36:19Z","timestamp":1775424979436,"version":"3.50.1"},"reference-count":28,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2018,2,6]],"date-time":"2018-02-06T00:00:00Z","timestamp":1517875200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Guangdong Province Dong guan Social Science and Technology Development Project of China","award":["No.2016108101020"],"award-info":[{"award-number":["No.2016108101020"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Spectrum sensing remains a challenge in the context of cognitive radio networks (CRNs). Compared with traditional single-user sensing, cooperative spectrum sensing (CSS) exploits multiuser diversity to overcome channel fading, shadowing, and hidden terminal problems, which can effectively enhance the sensing performance and protect licensed users from harmful interference. However, for a large number of sensing nodes that need high bandwidth of the control channel for data transmitting, CSS increases cooperative overhead. To address this problem, we investigated the soft decision fusion strategy under a limited bandwidth of the control channel and proposed a simple quantization-based multibit data soft fusion rule for CSS for its simple structure and easily implementation. Under the quantization-based sensing strategy, each cooperative secondary user (SU) adopts an energy detector for local spectrum sensing. Each SU transmits quantized multibit data that sends local sensing information, instead of forwarding local one-bit hard decision results or original observation statistics, to the fusion center (FC). Furthermore, the closed-form expressions of the quantization levels and the quantization thresholds are analytically derived. Simulation results indicate that the detection performance of the proposed method approaches that of the conventional soft fusion rule with less cooperative overhead and outperforms the hard decision rules. Extensive simulations also show that multibit quantization fusion achieves a desirable tradeoff between the sensing performance and the control channel overhead for CSS.<\/jats:p>","DOI":"10.3390\/s18020473","type":"journal-article","created":{"date-parts":[[2018,2,6]],"date-time":"2018-02-06T15:18:05Z","timestamp":1517930285000},"page":"473","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["A Quantization-Based Multibit Data Fusion Scheme for Cooperative Spectrum Sensing in Cognitive Radio Networks"],"prefix":"10.3390","volume":"18","author":[{"given":"Yuanhua","family":"Fu","sequence":"first","affiliation":[{"name":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8768-9450","authenticated-orcid":false,"given":"Fan","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiming","family":"He","sequence":"additional","affiliation":[{"name":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China"},{"name":"Institute of Electronic and Information Engineering of University of Electronic Science and Technology of China in Guangdong, Dongguan 523808, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,2,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Ejaz, W., Hattab, G., and Attia, T. (2016). Joint quantization and confidence-based generalized combining scheme for cooperative spectrum sensing. IEEE Syst. J., 1\u201312.","DOI":"10.1109\/JSYST.2016.2615019"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1109\/TPDS.2014.2307951","article-title":"Distributed Consensus-based Weight Design for Cooperative Spectrum Sensing","volume":"26","author":"Zhang","year":"2014","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1016\/j.phycom.2010.12.003","article-title":"Cooperative spectrum sensing in cognitive radio networks: A survey","volume":"4","author":"Akyildiz","year":"2011","journal-title":"Phys. Commun."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1109\/JSTSP.2010.2055537","article-title":"Optimization of linear cooperative spectrum sensing for cognitive radio networks","volume":"5","author":"Taricco","year":"2011","journal-title":"IEEE J. Sel. Top. Signal Process."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1399","DOI":"10.1007\/s11276-013-0683-9","article-title":"Cooperative spectrum sensing under unreliable reporting channels","volume":"20","author":"Paula","year":"2014","journal-title":"Wirel. Netw."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1007\/s11277-013-1013-3","article-title":"Sensing confidence level-based joint spectrum and power allocation in cognitive radio networks","volume":"72","author":"Ding","year":"2013","journal-title":"Wirel. Pers. Commun."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1761","DOI":"10.1109\/TVT.2015.2405538","article-title":"Interference-limited resource optimization in cognitive femtocells with fairness and imperfect spectrum sensing","volume":"65","author":"Zhang","year":"2016","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Zhao, Y., Pradhan, J., Wang, G., and Huang, J. (2016, January 4\u20138). Experimental approach: Two-stage spectrum sensing using GNU radio and USRP to detect primary user\u2019s signal. Proceedings of the 2016 Annual ACM Symposiumon Applied Computing (SAC), Pisa, Italy.","DOI":"10.1145\/2851613.2851824"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Zhao, Y., Hong, Z., Wang, G., and Huang, J. (2016, January 1\u20134). High-order hidden bivariate Markov model: A novel approach on spectrum prediction. Proceedings of the 2016 International Conference on Computer Communication and Networks (ICCCN), Waikoloa, HI, USA.","DOI":"10.1109\/ICCCN.2016.7568528"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"878","DOI":"10.1109\/JPROC.2009.2015716","article-title":"Cooperative communications for cognitive radio networks","volume":"97","author":"Letaief","year":"2009","journal-title":"Proc. IEEE"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1109\/TSP.2011.2170978","article-title":"Cooperative Sensing with Imperfect Reporting Channels: Hard Decisions or Soft Decisions?","volume":"60","author":"Chaudhari","year":"2012","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"2253","DOI":"10.1007\/s11276-016-1285-0","article-title":"On the decision fusion for cooperative spectrum sensing in cognitive radio networks","volume":"23","author":"Verma","year":"2017","journal-title":"Wirel. Netw."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1459","DOI":"10.1002\/dac.2408","article-title":"Novel quantization-based spectrum sensing scheme under imperfect reporting channel and false reports","volume":"27","author":"Yilmaz","year":"2014","journal-title":"Int. J. Commun. Syst."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"721","DOI":"10.1109\/TSP.2016.2626251","article-title":"Cooperative spectrum sensing with quantization combining over imperfect feedback channels","volume":"65","author":"Hwang","year":"2016","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_15","first-page":"536","article-title":"Optimum Local Decision Space Partitioning for Distributed Detection","volume":"25","author":"Lee","year":"1989","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1109\/LCOMM.2011.012511.102306","article-title":"Log-Likelihood Ratio Optimal Quantizer for Cooperative Spectrum Sensing in Cognitive Radio","volume":"15","author":"Nhan","year":"2011","journal-title":"IEEE Commun. Lett."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"25207","DOI":"10.1109\/ACCESS.2017.2767101","article-title":"Multibit-Quantization-Based Collaborative Spectrum Sensing Scheme for Cognitive Sensor Networks","volume":"5","author":"Wu","year":"2017","journal-title":"IEEE Access."},{"key":"ref_18","first-page":"461","article-title":"A novel cluster-based cooperative spectrum sensing with double adaptive energy thresholds and multi-bit local decision in cognitive radio","volume":"3","author":"Van","year":"2009","journal-title":"KSII Trans. Internet Inf. Syst."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Ma, J., Zhao, G., and Li, Y. (2007, January 26\u201330). Soft combination and detection for cooperative spectrum sensing in cognitive radio networks. Proceedings of the IEEE Global Telecommunications Conference, Washington, DC, USA.","DOI":"10.1109\/GLOCOM.2007.594"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"4502","DOI":"10.1109\/T-WC.2008.070941","article-title":"Soft combination and detection for cooperative spectrum sensing in cognitive radio networks","volume":"7","author":"Ma","year":"2008","journal-title":"IEEE Trans. Wirel. Commun."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"4349","DOI":"10.1109\/TSP.2014.2330803","article-title":"Joint local quantization and linear cooperation in spectrum sensing for cognitive radio networks","volume":"62","author":"Abdi","year":"2014","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1109\/LWC.2015.2437879","article-title":"How Many Bits Should Be Reported In Quantized Cooperative Spectrum Sensing?","volume":"4","author":"Ciblat","year":"2015","journal-title":"IEEE Wirel. Commun. Lett."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Tani, Y., and Saba, T. (2010, January 6\u201310). Quantization scheme for energy detector of soft decision cooperative spectrum sensing in cognitive radio. Proceedings of the IEEE GLOBECOM Workshops, Miami, FL, USA.","DOI":"10.1109\/GLOCOMW.2010.5700411"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"384","DOI":"10.1109\/TVT.2012.2217160","article-title":"A Practical Multibit Data Combining Strategy for Cooperative Spectrum Sensing","volume":"62","author":"Bastami","year":"2013","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1341","DOI":"10.1016\/j.comcom.2013.05.002","article-title":"Distributed cooperative spectrum sensing in cognitive radio for ad hoc networks","volume":"36","author":"Ejaz","year":"2013","journal-title":"Comput. Commun."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1326","DOI":"10.1109\/TWC.2008.060869","article-title":"Sensing-throughput tradeoff for cognitive radio networks","volume":"7","author":"Liang","year":"2008","journal-title":"IEEE Trans. Wirel. Commun."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1109\/SURV.2009.090109","article-title":"A survey of spectrum sensing algorithms for cognitive radio applications","volume":"11","author":"Yucek","year":"2009","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1342","DOI":"10.1109\/COMST.2015.2422735","article-title":"Byzantine attack and defense in cognitive radio networks: A Survey","volume":"17","author":"Zhang","year":"2015","journal-title":"IEEE Commun. Surv. 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