非授權(quán)頻段下無(wú)人機(jī)輔助通信的軌跡與資源分配優(yōu)化

潘鈺; 胡航; 金虎; 雷迎科; 馮輝; 姜麗; 張孟伯

doi:10.11999/JEIT240275

非授權(quán)頻段下無(wú)人機(jī)輔助通信的軌跡與資源分配優(yōu)化

doi: 10.11999/JEIT240275

潘鈺¹,
胡航²,
金虎¹,
雷迎科¹,
馮輝¹,
姜麗^1, ,,
張孟伯¹

1.
國(guó)防科技大學(xué)電子對(duì)抗學(xué)院合肥 230031
2.
空軍工程大學(xué)信息與導(dǎo)航學(xué)院西安 710082

基金項(xiàng)目: 陜西省自然科學(xué)基礎(chǔ)研究計(jì)劃(2024JC-YBMS-514)

詳細(xì)信息

作者簡(jiǎn)介:
潘鈺：女，講師，研究方向?yàn)闊o(wú)人機(jī)通信

胡航：男，副教授，研究方向?yàn)闊o(wú)線移動(dòng)通信

金虎：男，教授，研究方向?yàn)闊o(wú)線移動(dòng)通信

雷迎科：男，教授，研究方向?yàn)闊o(wú)線移動(dòng)通信

馮輝：男，講師，研究方向?yàn)闊o(wú)線移動(dòng)通信

姜麗：女，副教授，研究方向?yàn)橥ㄐ趴垢蓴_

張孟伯：男，講師，研究方向?yàn)橥ㄐ趴垢蓴_

通訊作者:
姜麗　jiangli17@nudt.edu.cn

中圖分類(lèi)號(hào): TN915
計(jì)量
- 文章訪問(wèn)數(shù): 229
- HTML全文瀏覽量: 116
- PDF下載量: 34
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2024-04-15
- 修回日期: 2024-08-30
- 網(wǎng)絡(luò)出版日期: 2024-09-09
- 刊出日期: 2024-11-10

Trajectory and Resource Allocation Optimization for Unmanned Aerial Vehicles Assisted Communications in Unlicensed Bands

PAN Yu¹,
HU Hang²,
JIN Hu¹,
LEI Yingke¹,
FENG Hui¹,
JIANG Li^{1
, ,},
ZHANG Mengbo¹

1.
School of Electronic Countermeasures, National University of Defense Technology, Hefei 230031, China
2.
Information and Navigation College, Aire Force Engineering University, Xi’an 710082, China

Funds: Shaanxi Province Natural Science Basic Research Program (2024JC-YBMS-514)

摘要

摘要: 為解決無(wú)人機(jī)(UAV)在非授權(quán)頻段下頻譜資源受限的瓶頸問(wèn)題，針對(duì)城市環(huán)境中UAV輔助監(jiān)測(cè)的通信網(wǎng)絡(luò)，該文提出一種下墊式(Underlay)接入機(jī)制下的高譜效聯(lián)合優(yōu)化方案?；赨AV的高機(jī)動(dòng)性將空地信道建模為概率性視距(LoS)信道，考慮同信道干擾和UAV最大速度約束建立聯(lián)合功率分配-軌跡規(guī)劃的混合資源優(yōu)化模型，在主用戶占用頻譜情況下使UAV在給定任務(wù)時(shí)間內(nèi)實(shí)現(xiàn)監(jiān)測(cè)數(shù)據(jù)的快速傳輸。原始問(wèn)題為NP-hard的混合整數(shù)非凸問(wèn)題，首先將其解耦為雙層規(guī)劃問(wèn)題，采用松弛變量和逐次凸逼近(SCA)技術(shù)將軌跡問(wèn)題轉(zhuǎn)換為凸規(guī)劃問(wèn)題后實(shí)現(xiàn)有效求解。仿真驗(yàn)證了所提聯(lián)合優(yōu)化方案相比改進(jìn)粒子群優(yōu)化(PSO)方案能夠提升最高約19%的頻譜效率，且對(duì)于維度較高的軌跡規(guī)劃問(wèn)題，所提基于SCA的算法具有更低的算法復(fù)雜度和更快的收斂性。
- 無(wú)人機(jī)通信 /
- 頻譜共享 /
- 軌跡規(guī)劃 /
- 凸優(yōu)化
Abstract: To solve the bottleneck problem of constrained spectrum resource for Unmanned Aerial Vehicles (UAVs) in unlicensed bands, a co-optimization scheme high spectral efficiency in underlay mechanism is proposed for UAV-assisted monitoring communication networks in urban environment. Considering the high maneuverability of UAVs, the air-to-ground channel is modeled as a probabilistic Line-of-Sight (LoS) channel, and the co-channel interference and maximum speed constraints are adopted to formulate a hybrid resource optimization model for power allocation and trajectory planning, enabling UAVs to construct the fast transmission scheme for monitoring data with occupied spectrum within the given time. The original problem is an NP-hard and non-convex integer problem, which is first decomposed into a two-layer programming problem, and then solved by applying the slack variable and Successive Convex Approximation (SCA) technologies to transform the trajectory design problem into a convex programming problem. Compared with the Particle Swarm Optimization (PSO) algorithm, the proposed joint optimization scheme is verified to improve the spectral efficiency by up to about 19% in simulations. For high-dimensional trajectory planning problems, the SCA-based algorithm is proved to have lower complexity and faster convergence.
- Unmanned Aerial Vehicle (UAV) communication /
- Spectrum sharing /
- Trajectory planning /
- Convex optimization

HTML全文

圖 1 城市環(huán)境下基于Underlay機(jī)制的UAV通信網(wǎng)絡(luò)模型

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圖 2 不同主網(wǎng)絡(luò)位置下UAV的最優(yōu)軌跡

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圖 3 ${T_{{\text{tot}}}} = 55$ s時(shí)的最佳UAV-WD接入策略和發(fā)射功率

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圖 4 改進(jìn)的PSO算法下的UAV最優(yōu)軌跡

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圖 5 兩種算法的收斂性對(duì)比

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圖 6 任務(wù)時(shí)長(zhǎng)變化時(shí)不同方案的性能對(duì)比

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