本文選題：伽瑪分布 + 無線電頻譜　； 參考：《系統(tǒng)仿真學(xué)報》2017年10期

【摘要】：在認(rèn)知無線電網(wǎng)絡(luò)中,頻譜感知過程的能量消耗是研究熱點(diǎn)。提出一種基于泊松過程可用于統(tǒng)計干擾受限下的能量消耗進(jìn)行建模,獲得頻譜感知能量消耗。頻譜感知能量作為認(rèn)知無線電網(wǎng)絡(luò)的次要用戶數(shù)量、空間密度和跳數(shù)的函數(shù),可以建模為伽瑪截斷分布。將該模型用于時域感知、空域感知以及時域-空域聯(lián)合感知在頻譜感知過程中認(rèn)知用戶的能量消耗統(tǒng)計分析,仿真及分析結(jié)果表明了該模型的科學(xué)合理性。
[Abstract]:In cognitive radio networks, the energy consumption of spectrum sensing is a hot topic. In this paper, a Poisson process can be used to model the energy consumption under statistical interference constraints, and the spectrum sensing energy consumption can be obtained. Spectral sensing energy, as a function of the number of secondary users, spatial density and hops of cognitive radio networks, can be modeled as a gamma truncated distribution. The model is applied to the statistical analysis of energy consumption of cognitive users in time domain perception, spatial domain perception and joint time domain spatial perception. The simulation and analysis results show that the model is scientific and reasonable.
【作者單位】： 昆明理工大學(xué)信息工程與自動化學(xué)院;
【基金】：云南省科技廳基金(KKS0201403016) 云南省食品安全研究院項目(KKSTJ201303008)
【分類號】：TN925
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本文編號：1851433