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非理想信道狀態(tài)信息的認(rèn)知無線網(wǎng)絡(luò)下行功率分配和波束賦形方法

季中恒 季新生 黃開枝

季中恒, 季新生, 黃開枝. 非理想信道狀態(tài)信息的認(rèn)知無線網(wǎng)絡(luò)下行功率分配和波束賦形方法[J]. 電子與信息學(xué)報, 2018, 40(9): 2072-2079. doi: 10.11999/JEIT171135
引用本文: 季中恒, 季新生, 黃開枝. 非理想信道狀態(tài)信息的認(rèn)知無線網(wǎng)絡(luò)下行功率分配和波束賦形方法[J]. 電子與信息學(xué)報, 2018, 40(9): 2072-2079. doi: 10.11999/JEIT171135
Zhongheng JI, Xinsheng JI, Kaizhi HUANG. Cognitive Radio Network Downlink Power Allocation and Beamforming Method with Imperfect Channel State Information[J]. Journal of Electronics & Information Technology, 2018, 40(9): 2072-2079. doi: 10.11999/JEIT171135
Citation: Zhongheng JI, Xinsheng JI, Kaizhi HUANG. Cognitive Radio Network Downlink Power Allocation and Beamforming Method with Imperfect Channel State Information[J]. Journal of Electronics & Information Technology, 2018, 40(9): 2072-2079. doi: 10.11999/JEIT171135

非理想信道狀態(tài)信息的認(rèn)知無線網(wǎng)絡(luò)下行功率分配和波束賦形方法

doi: 10.11999/JEIT171135
基金項(xiàng)目: 國家863計劃(SS2015AA011306),國家自然科學(xué)基金(61379006, 61521003)
詳細(xì)信息
    作者簡介:

    季中恒:男,1971 年生,副研究員,研究方向?yàn)闊o線通信理論及技術(shù)應(yīng)用

    季新生:男,1968 年生,教授,博士生導(dǎo)師,研究方向?yàn)闊o線通信理論和信息安全

    黃開枝:女,1973 年生,教授,博士生導(dǎo)師,研究方向?yàn)橐苿油ㄐ藕臀锢韺影踩?/p>

    通訊作者:

    季中恒 ? 13526611780@qq.com

  • 中圖分類號: TN92

Cognitive Radio Network Downlink Power Allocation and Beamforming Method with Imperfect Channel State Information

Funds: The National 863 Program of China (SS2015AA011306), The National Natural Science Foundation of China (61379006, 61521003)
  • 摘要: 針對非理想信道狀態(tài)信息(CSI)條件下工作于underlay模式的認(rèn)知無線網(wǎng)絡(luò)(CRN)多用戶下行功率分配和波束賦形研究中普遍存在的問題,包括忽略主網(wǎng)絡(luò)(PN)對認(rèn)知用戶(SU)的干擾、傳統(tǒng)的凸優(yōu)化SDR方法對約束條件的近似要求以及實(shí)現(xiàn)算法復(fù)雜、實(shí)用性受限等,首先建立CRN模型,增添PN對SU的干擾項(xiàng),而后在非理想CSI的最差條件下形成優(yōu)化問題。再通過Lagrange對偶對問題的約束條件進(jìn)行變換,并基于變換后的問題形式,利用上行和下行的對偶特性,引入虛擬功率,將優(yōu)化問題轉(zhuǎn)換為上行功率分配和波束賦形問題,進(jìn)一步得到簡便、快速和實(shí)用的迭代算法。數(shù)值仿真顯示,算法收斂很快。并且發(fā)現(xiàn)非理想CSI引起的誤差不僅對下行功率影響明顯而且還改變優(yōu)化問題的可行解區(qū)域;PN基站(PBS)的發(fā)送功率的變化對可行解區(qū)域有顯著的影響。
  • 圖  1  CRN網(wǎng)絡(luò)模型

    圖  2  誤差項(xiàng)與下行功率的關(guān)系

    圖  3  誤差項(xiàng)與可行解區(qū)域的關(guān)系

    圖  4  PBS發(fā)送功率與可行解區(qū)域的關(guān)系

    圖  5  迭代算法和SDR算法的能量效率

    圖  6  迭代算法和SDR算法的可行解區(qū)域

    表  1  不同收斂門限下的迭代次數(shù)

    序號 1 2 3 4 5
    收斂門限 $\delta $ 10–3 10–4 10–5 10–6 10–7
    迭代次數(shù) $N$ 11 17 25 47 67
    下載: 導(dǎo)出CSV
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出版歷程
  • 收稿日期:  2017-12-04
  • 修回日期:  2018-05-08
  • 網(wǎng)絡(luò)出版日期:  2018-07-12
  • 刊出日期:  2018-09-01

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