CAJ | 학술논문

绿色通信是未来无线通信发展的必然趋势，为了提高认知无线网络频谱感知算法的能量效率以及算法稳定性，实现低功耗绿色通信，该文在噪声不确定的环境下分析了基于特征值的最大最小特征值（MME，Maximum-Minimum Eigenvalue）频谱感知算法的能量效率，并利用黄金分割优化算法获得了使能量效率最大化的最优感知时间。理论分析和仿真结果表明，在噪声不确定的情况下，基于特征值的MME感知算法的能量效率要明显优于传统的能量（ED）检测算法，且MME感知算法不受噪声不确定性的影响，在低信噪比下具有更稳定的感知性能。
록색통신시미래무선통신발전적필연추세，위료제고인지무선망락빈보감지산법적능량효솔이급산법은정성，실현저공모록색통신，해문재조성불학정적배경하분석료기우특정치적최대최소특정치（MME，Maximum-Minimum Eigenvalue）빈보감지산법적능량효솔，병이용황금분할우화산법획득료사능량효솔최대화적최우감지시간。이론분석화방진결과표명，재조성불학정적정황하，기우특정치적MME감지산법적능량효솔요명현우우전통적능량（ED）검측산법，차MME감지산법불수조성불학정성적영향，재저신조비하구유경은정적감지성능。
Green Communications is an inevitable trend of future development of wireless communication.In order to en-hance the stability and efficiency of spectrum sensing algorithm and promote low-power Green Communications,the energy efficiency of eigenvalue-based MME (Maximum-Minimum Eigenvalue)algorithm under noise uncertainty is analyzed in this paper and the optimal sensing time through the golden algorithm is found.Theoretical analysis and computer simulation re-sults show that eigenvalue-based MME detection algorithm is obviously better than energy detection(ED)with the noise un-certainty and has a more stable sensing performance at low signal to noise ratio.Meanwhile,the results also indicate that noise uncertainty almost has no effect on MME.