基于Ricean因子的無人機(jī)自適應(yīng)MIMO通信方案
發(fā)布時(shí)間:2019-06-09 17:30
【摘要】:為了進(jìn)一步提升無人機(jī)的通信容量,針對(duì)無人機(jī)信道的特點(diǎn),提出了一種基于Ricean因子的無人機(jī)自適應(yīng)MIMO通信方案.該方案利用了波束賦形(beamforming,BF)和空分復(fù)用(spatial multiplexing,SM)兩種MIMO技術(shù),通過Ricean因子實(shí)現(xiàn)BF與SM的自適應(yīng)切換,并推導(dǎo)出了切換門限值的閉式表達(dá)式.相較于傳統(tǒng)的無人機(jī)通信,該方案獲得了更大的通信容量,且在高信噪比時(shí)容量提升顯著.而與最優(yōu)MIMO方案相比,所提出的自適應(yīng)MIMO方案降低了計(jì)算復(fù)雜度.仿真表明,所提出的自適應(yīng)通信方案可以進(jìn)一步提高無人機(jī)通信容量.
[Abstract]:In order to further improve the communication capacity of UAV, an adaptive MIMO communication scheme based on Ricean factor is proposed according to the characteristics of UAV channel. In this scheme, beamforming (beamforming,BF) and space division multiplexing (spatial multiplexing,SM) are used to realize the adaptive switching between BF and SM by Ricean factor, and the closed expression of switching threshold value is derived. Compared with the traditional UAV communication, this scheme obtains larger communication capacity, and the capacity increases significantly at high signal-to-noise ratio (SNR). Compared with the optimal MIMO scheme, the proposed adaptive MIMO scheme reduces the computational complexity. Simulation results show that the proposed adaptive communication scheme can further improve the communication capacity of UAV.
【作者單位】: 西安電子科技大學(xué)綜合業(yè)務(wù)網(wǎng)理論及關(guān)鍵技術(shù)國家重點(diǎn)實(shí)驗(yàn)室;
【基金】:國家自然科學(xué)基金資助項(xiàng)目(編號(hào):61401330,61371127) 國家111計(jì)劃資助項(xiàng)目(編號(hào):B08038) 中央高校基本科研業(yè)務(wù)經(jīng)費(fèi)資助項(xiàng)目(編號(hào):7214603701)
【分類號(hào)】:TN919.3;V279
,
本文編號(hào):2495741
[Abstract]:In order to further improve the communication capacity of UAV, an adaptive MIMO communication scheme based on Ricean factor is proposed according to the characteristics of UAV channel. In this scheme, beamforming (beamforming,BF) and space division multiplexing (spatial multiplexing,SM) are used to realize the adaptive switching between BF and SM by Ricean factor, and the closed expression of switching threshold value is derived. Compared with the traditional UAV communication, this scheme obtains larger communication capacity, and the capacity increases significantly at high signal-to-noise ratio (SNR). Compared with the optimal MIMO scheme, the proposed adaptive MIMO scheme reduces the computational complexity. Simulation results show that the proposed adaptive communication scheme can further improve the communication capacity of UAV.
【作者單位】: 西安電子科技大學(xué)綜合業(yè)務(wù)網(wǎng)理論及關(guān)鍵技術(shù)國家重點(diǎn)實(shí)驗(yàn)室;
【基金】:國家自然科學(xué)基金資助項(xiàng)目(編號(hào):61401330,61371127) 國家111計(jì)劃資助項(xiàng)目(編號(hào):B08038) 中央高校基本科研業(yè)務(wù)經(jīng)費(fèi)資助項(xiàng)目(編號(hào):7214603701)
【分類號(hào)】:TN919.3;V279
,
本文編號(hào):2495741
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