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基于干擾效率多蜂窩異構(gòu)無線網(wǎng)絡(luò)最優(yōu)基站選擇及功率分配算法

李國權(quán) 徐勇軍 陳前斌

李國權(quán), 徐勇軍, 陳前斌. 基于干擾效率多蜂窩異構(gòu)無線網(wǎng)絡(luò)最優(yōu)基站選擇及功率分配算法[J]. 電子與信息學(xué)報(bào), 2020, 42(4): 957-964. doi: 10.11999/JEIT190419
引用本文: 李國權(quán), 徐勇軍, 陳前斌. 基于干擾效率多蜂窩異構(gòu)無線網(wǎng)絡(luò)最優(yōu)基站選擇及功率分配算法[J]. 電子與信息學(xué)報(bào), 2020, 42(4): 957-964. doi: 10.11999/JEIT190419
Guoquan LI, Yongjun XU, Qianbin CHEN. Interference Efficiency-based Base Station Selection and Power Allocation Algorithm for Multi-cell Heterogeneous Wireless Networks[J]. Journal of Electronics & Information Technology, 2020, 42(4): 957-964. doi: 10.11999/JEIT190419
Citation: Guoquan LI, Yongjun XU, Qianbin CHEN. Interference Efficiency-based Base Station Selection and Power Allocation Algorithm for Multi-cell Heterogeneous Wireless Networks[J]. Journal of Electronics & Information Technology, 2020, 42(4): 957-964. doi: 10.11999/JEIT190419

基于干擾效率多蜂窩異構(gòu)無線網(wǎng)絡(luò)最優(yōu)基站選擇及功率分配算法

doi: 10.11999/JEIT190419
基金項(xiàng)目: 國家自然科學(xué)基金(61601071),重慶市教委科學(xué)技術(shù)研究計(jì)劃項(xiàng)目(KJQN201800606),重慶市基礎(chǔ)研究與前沿探索專項(xiàng)面上項(xiàng)目(cstc2019jcyj -msxmX0666, cstc2019jcyj-xfkxX0002), 重慶市科技創(chuàng)新領(lǐng)軍人才項(xiàng)目(CSTCCXLJRC201908),山東省無線通信技術(shù)重點(diǎn)實(shí)驗(yàn)室開放課題(SDKLWCT-2019-04)
詳細(xì)信息
    作者簡介:

    李國權(quán):男,1980年生,副教授,碩士生導(dǎo)師,研究方向?yàn)槎喾涓C網(wǎng)絡(luò)性能分析

    徐勇軍:男,1986年生,副教授,碩士生導(dǎo)師,研究方向?yàn)楫悩?gòu)無線網(wǎng)絡(luò)資源分配

    陳前斌:男,1967年生,教授,博士生導(dǎo)師,研究方向?yàn)橄乱淮苿?dòng)通信

    通訊作者:

    徐勇軍 xuyj@cqupt.edu.cn

  • 中圖分類號(hào): TN929.5

Interference Efficiency-based Base Station Selection and Power Allocation Algorithm for Multi-cell Heterogeneous Wireless Networks

Funds: The National Natural Science Foundation of China (61601071), The Science and Technology Research Program of Chongqing Municipal Education Commission (KJQN201800606), The Natural Science Foundation of Chongqing (cstc2019jcyj-msxmX0666, cstc2019jcyj-xfkxX0002), The Chongqing Science and Technology Innovation Leading Talent Support Program (CSTCCXLJRC201908), The Open Research Fund from Shandong Provincial Key Laboratory of Wireless Communication Technologies (SDKLWCT-2019-04)
  • 摘要:

    針對(duì)多蜂窩多用戶異構(gòu)無線網(wǎng)絡(luò)干擾管理和效率提升問題,該文研究了基于干擾效率最大的下行鏈路基站(BS)-用戶匹配和功率分配問題。首先,考慮宏用戶和微蜂窩用戶的服務(wù)質(zhì)量,將問題建模為多變量混合整數(shù)非線性規(guī)劃問題。其次將原問題分解為基站選擇和功率分配兩個(gè)子問題。針對(duì)基站選擇問題,利用凸優(yōu)化問題獲得最優(yōu)基站選擇策略;針對(duì)功率分配問題,利用二次變換法和Dinkelbach輔助變量法,將功率分配問題轉(zhuǎn)換為凸優(yōu)化問題求解。仿真結(jié)果表明,與現(xiàn)有算法對(duì)比,該算法具有較好的干擾效率和干擾控制性能。

  • 圖  1  多蜂窩異構(gòu)無線網(wǎng)絡(luò)下行系統(tǒng)模型

    圖  2  算法收斂性能圖

    圖  3  最大干擾門限對(duì)干擾效率的影響

    圖  4  最大干擾門限對(duì)能量效率的影響

    圖  5  發(fā)射功率門限對(duì)干擾效率的影響

    圖  6  發(fā)射功率門限對(duì)能量效率的影響

    圖  7  發(fā)射功率門限對(duì)宏用戶接收機(jī)處干擾的影響

    表  1  基站-用戶匹配選擇算法

     初始化微蜂窩網(wǎng)絡(luò)能服務(wù)的最大用戶數(shù)${K^n}$,最小用戶速率需求門限$R_{n,k}^{\min }$和發(fā)射功率${p_n}(t) = {p_0}$;
     初始化拉格朗日乘子${\beta _k}(0) = {\beta _{k,0}}$, ${\chi _n}(0) = {\chi _{n,0}}$和${\lambda _{n,k}}(0) = {\lambda _{n,k,0}}$;初始化網(wǎng)絡(luò)用戶數(shù)量和基站用戶數(shù)$M,N$和$K$;初始化
     步長${s_1}(t),{s_2}(t)$和${s_3}(t)$。初始化第$n$個(gè)微蜂窩所接入用戶數(shù)量集合為${U_n} = \varnothing $, $\left| {{U_n}} \right|$為集合中有多少個(gè)元素。
     While $t \le {T^{\max } }$或者${\left\| { {\varphi }(t + 1) - {\varphi }(t)} \right\|_2} \le \varepsilon $;其中${T^{\max }}$為最大迭代次數(shù);$\varepsilon $為拉格朗日乘子收斂精度;${\varphi }(t) = {[{\beta _k}(t),{\chi _n}(t),{\lambda _{n,k} }(t)]^{\rm{T} } }$。
     For k=1:1:K
       For n=1:1:N
        if $\left| { {U_n} } \right| \le {K^n}$
       根據(jù)式(9)計(jì)算${n^*}$,從而根據(jù)式(8)計(jì)算${\alpha _{n,k}}$;根據(jù)式(10)—式(12)更新拉格朗日乘子。
       Else
         Break;
       End if
       End For
      將用戶編號(hào)$k$存儲(chǔ)在${U_n}$中。
     End For
     End while
    下載: 導(dǎo)出CSV

    表  2  最優(yōu)功率分配算法

     初始化微蜂窩網(wǎng)絡(luò)能服務(wù)的最大用戶數(shù)${K^n}$,最小用戶速率需求門限$R_{n,k}^{\min }$和發(fā)射功率${p_n}(t) = {p_0}$;
     初始化拉格朗日乘子,網(wǎng)絡(luò)用戶數(shù)量和基站用戶數(shù),初始化步長和干擾效率。
     While $j \le J$ 或者$\left| {\dfrac{ {\displaystyle\sum\nolimits_{n = 1}^N {\displaystyle\sum\nolimits_{k = 1}^K { {\alpha _{n,k} }{R_{n,k} }(j)} } } }{ {\displaystyle\sum\nolimits_{m = 1}^M {\displaystyle\sum\nolimits_{n = 1}^N { {p_n}(j){h_{n,m} } } } } } - \eta (j - 1)} \right| > \varepsilon $;其中${T^{\max }}$為最大迭代次數(shù);$\varepsilon $為收斂精度;
     For m=1:1:M
       For k=1:1:K
         For n=1:1:N
           根據(jù)式(21)、式(22)計(jì)算變量${x_{n,k}}$和最優(yōu)功率${p_n}$;
           根據(jù)式(23)—式(25)更新拉格朗日乘子${\theta _n},{\mu _m},\lambda _{n,m}^{{p} }$。
         End For
       End For
     End For
     Until $t = {T_{\max }}$或收斂。
    更新 $j = j + 1$和$\eta (j) = \frac{ {\displaystyle\sum\nolimits_{n = 1}^N {\displaystyle\sum\nolimits_{k = 1}^K { {\alpha _{n,k} }{R_{n,k} }(j - 1)} } } }{ {\displaystyle\sum\nolimits_{m = 1}^M {\sum\nolimits_{n = 1}^N { {p_n}(j - 1){h_{n,m} } } } } }$。
    End while
    下載: 導(dǎo)出CSV
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  • 收稿日期:  2019-06-07
  • 修回日期:  2020-01-18
  • 網(wǎng)絡(luò)出版日期:  2020-02-20
  • 刊出日期:  2020-06-04

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