本文選題：認(rèn)知無線電網(wǎng)絡(luò)(CRN) + 協(xié)作頻譜感知　； 參考：《電子與信息學(xué)報(bào)》2014年07期

【摘要】：協(xié)作頻譜感知的認(rèn)知無線電網(wǎng)絡(luò)中,已有研究表明增加參與協(xié)作頻譜感知的次用戶數(shù)量能夠提高感知性能,進(jìn)而提高信道吞吐量。然而,由于信道容量的限制,不斷增加參與協(xié)作感知的次用戶數(shù)量并不會(huì)使信道吞吐量無限提高,反而會(huì)使次用戶平均可獲得的吞吐量不斷降低。針對上述問題,該文以次用戶平均吞吐量為優(yōu)化目標(biāo),證明多信道條件下,對于任意給定的融合參數(shù),次用戶的平均吞吐量是感知時(shí)間的凸函數(shù),并提出交叉迭代算法進(jìn)行2維優(yōu)化。仿真結(jié)果表明,當(dāng)信噪比為-10 dB時(shí),次用戶使用交叉迭代算法獲得的平均吞吐量較已有算法可提高20%以上。
[Abstract]:In cognitive radio networks with cooperative spectrum sensing, it has been shown that increasing the number of secondary users participating in cooperative spectrum sensing can improve the perception performance and thus improve the channel throughput. However, due to the limitation of channel capacity, increasing the number of secondary users participating in cooperative awareness will not increase the channel throughput infinitely, but decrease the average throughput of secondary users. Aiming at the above problems, this paper takes the average throughput of secondary users as the optimization objective, and proves that the average throughput of secondary users is a convex function of perceptual time for any given fusion parameter under multi-channel conditions. A cross-iteration algorithm is proposed for 2-D optimization. The simulation results show that when the SNR is -10 dB, the average throughput of the sub-user using the cross-iteration algorithm can be increased by more than 20% compared with the existing algorithm.
【作者單位】： 信息工程大學(xué)信息系統(tǒng)工程學(xué)院;65017部隊(duì);
【基金】：國家高技術(shù)研究發(fā)展計(jì)劃項(xiàng)目(2012AA121606)資助課題
【分類號】：TN925

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