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基于能效優(yōu)化的大規(guī)模MIMO FDD下行系統(tǒng)導(dǎo)頻和功率資源分配算法

王毅,  林艷,  李春國,  黃永明,  楊綠溪

王毅, 林艷, 李春國, 黃永明, 楊綠溪. 基于能效優(yōu)化的大規(guī)模MIMO FDD下行系統(tǒng)導(dǎo)頻和功率資源分配算法[J]. 電子與信息學(xué)報, 2017, 39(1): 16-23. doi: 10.11999/JEIT160226
引用本文: 王毅, 林艷, 李春國, 黃永明, 楊綠溪. 基于能效優(yōu)化的大規(guī)模MIMO FDD下行系統(tǒng)導(dǎo)頻和功率資源分配算法[J]. 電子與信息學(xué)報, 2017, 39(1): 16-23. doi: 10.11999/JEIT160226
WANG Yi, LIN Yan, LI Chunguo, HUANG Yongming, YANG Luxi. Energy-efficiency Optimization of Pilot Duration and Power Allocation for Downlink Massive MIMO FDD Systems[J]. Journal of Electronics & Information Technology, 2017, 39(1): 16-23. doi: 10.11999/JEIT160226
Citation: WANG Yi, LIN Yan, LI Chunguo, HUANG Yongming, YANG Luxi. Energy-efficiency Optimization of Pilot Duration and Power Allocation for Downlink Massive MIMO FDD Systems[J]. Journal of Electronics & Information Technology, 2017, 39(1): 16-23. doi: 10.11999/JEIT160226

基于能效優(yōu)化的大規(guī)模MIMO FDD下行系統(tǒng)導(dǎo)頻和功率資源分配算法

doi: 10.11999/JEIT160226 cstr: 32379.14.JEIT160226
基金項目: 

國家863計劃項目(2015AA01A703)，國家自然科學(xué)基金(61372101, 61271018, 61671144)，江蘇省科技計劃項目(BE2015156)，江蘇省高校自然科學(xué)研究面上項目(16KJB510008)

Energy-efficiency Optimization of Pilot Duration and Power Allocation for Downlink Massive MIMO FDD Systems

Funds: 

The National 863 Program of China (2015AA01A703), The National Natural Science Foundation of China (61372101, 61271018, 61671144), Research Project of Jiangsu Province (BE2015156), The Natural Science Research Project of Jiangsu Province for Colleges and Universities (16KJB510008)

  • 摘要: 該文針對大規(guī)模MIMO FDD下行系統(tǒng)，聯(lián)合考慮信道估計與數(shù)據(jù)傳輸兩個階段的資源分配問題，提出一種能效資源分配算法。該方法以最大化能效為目標(biāo)，以導(dǎo)頻時長、導(dǎo)頻功率和數(shù)據(jù)功率為參量，在指定發(fā)射功率和頻譜效率約束的條件下建立優(yōu)化模型。由于目標(biāo)函數(shù)無精確解析形式，借助確定性等價原理對其近似并求得閉合表達(dá)式。進(jìn)而，利用分?jǐn)?shù)規(guī)劃將原分式形式目標(biāo)函數(shù)等價轉(zhuǎn)換為減式形式，再利用目標(biāo)函數(shù)的下界將非凸優(yōu)化問題逐步釋放為相對容易求解的等效問題，最終獲得一種3層迭代能效資源優(yōu)化算法。仿真結(jié)果驗證了所提算法的有效性，且具有較快的收斂速度。
    Abstract: An energy-efficient resource allocation method is provided for the downlink massive Multiple-Input Multiple-Output (MIMO) Frequency Division Duplexing (FDD) system, which jointly evaluates the channel estimation stage and data transmission stage. The optimization problem is established based on the Energy Efficiency (EE) maximization by adjusting the pilot duration, pilot power and data power under the constraint of total transmit energy and spectral efficiency requirement. Since the analytical expression of the involved objective function is intractable, a closed-form expression is deduced using deterministic equivalent approximation technology. Based on this, the original non-convex fractional optimization problem is transformed into an equivalent problem in subtractive form by the means of fraction programming. Then, a lower bound of the transformed objective function is employed, which induces a relatively easy-to-solve equivalent problem. Finally, a three-layer iterative algorithm is developed. Numerical results validate the effectiveness and relatively fast convergence speed of the proposed algorithm.
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出版歷程
  • 收稿日期:  2016-03-11
  • 修回日期:  2016-07-28
  • 刊出日期:  2017-01-19

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