【摘要】：在無線信息能量同步傳輸系統(tǒng)中,考慮實(shí)際電路實(shí)現(xiàn)中的非線性能量收集模型,提出了一種具有魯棒性的波束賦形設(shè)計(jì)方案。為了提升系統(tǒng)用戶間的公平性,對最小的用戶信干噪比進(jìn)行優(yōu)化,并構(gòu)建了一個(gè)非凸的優(yōu)化問題。針對問題的非凸特性以及引入信道估計(jì)誤差帶來的限制條件,基于S過程對問題進(jìn)行變形,并通過半定松弛技術(shù)對問題進(jìn)行凸化,提出了一種基于二分法的迭代波束賦形算法。仿真結(jié)果表明,相比于非魯棒性算法,所提的算法能夠獲得25!到50!的性能增益。因此,所提算法更加適用于實(shí)際系統(tǒng)中的非理想信道環(huán)境。仿真結(jié)果還表明所提算法相比于線性能量收集模型或迫零波束賦形等方法,能夠取得更好的公平性能。
[Abstract]:In the wireless information energy synchronous transmission system, a robust beamforming design scheme is proposed considering the nonlinear energy collection model in practical circuit implementation. In order to improve the fairness between users, the minimum signal-to-noise ratio of users is optimized, and a non-convex optimization problem is constructed. Aiming at the non-convex characteristic of the problem and the limited condition caused by the channel estimation error, this paper presents an iterative beamforming algorithm based on dichotomy, which deforms the problem based on S process and convexes the problem by semi-definite relaxation technique. Simulation results show that compared with the non-robust algorithm, the proposed algorithm can get 25! To 50! Performance gain. Therefore, the proposed algorithm is more suitable for the non-ideal channel environment in practical systems. The simulation results also show that the proposed algorithm can achieve better fairness than the linear energy collection model or the zero-forcing beamforming method.
【作者單位】： 北京郵電大學(xué)網(wǎng)絡(luò)與交換技術(shù)國家重點(diǎn)實(shí)驗(yàn)室;
【基金】：國家自然科學(xué)基金(61471060);國家自然科學(xué)基金創(chuàng)新群體(61421061)
【分類號(hào)】：TN929.5
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本文編號(hào)：2121129