本文選題：認(rèn)知無線電網(wǎng)絡(luò) + 連續(xù)時間馬爾科夫理論�。� 參考：《信號處理》2014年04期

【摘要】：為提高認(rèn)知無線電網(wǎng)絡(luò)中次用戶節(jié)點的能量有效性,該文基于連續(xù)時間馬爾科夫理論對次用戶的頻譜感知和接入過程進(jìn)行聯(lián)合建模,對影響次用戶傳輸能效的主要因素進(jìn)行了分析,提出了一種基于跨層設(shè)計的能量有效優(yōu)化算法。該算法可有效減小主用戶非時隙返回信道對次用戶能量有效性的影響,并通過聯(lián)合優(yōu)化感知時間和接入概率,使次用戶在感知性能和傳輸能效間實現(xiàn)了有效折衷。仿真結(jié)果表明,本文算法相對于僅考慮頻譜感知或接入策略的單層優(yōu)化算法,可使次用戶的能量有效性得到較大提高。
[Abstract]:In order to improve the energy efficiency of secondary users in cognitive radio networks, this paper models the spectrum sensing and access process of secondary users based on continuous time Markov theory. In this paper, the main factors affecting the energy efficiency of secondary users are analyzed, and an energy efficient optimization algorithm based on cross-layer design is proposed. The proposed algorithm can effectively reduce the influence of the primary non-slot return channel on the energy efficiency of the secondary user. By jointly optimizing the sensing time and the access probability, the secondary user can achieve an effective tradeoff between perceived performance and transmission energy efficiency. Simulation results show that the proposed algorithm can greatly improve the energy efficiency of secondary users compared with the single-layer optimization algorithm which only considers spectrum sensing or access strategy.
【作者單位】： 信息工程大學(xué)信息系統(tǒng)工程學(xué)院;65017部隊;
【基金】：國家高技術(shù)研究發(fā)展計劃(2012AA121606)
【分類號】：TN925

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本文編號：1968658