非线性能量收集下的鲁棒性波束赋形
发布时间：2018-07-14 08:54
【摘要】：在无线信息能量同步传输系统中,考虑实际电路实现中的非线性能量收集模型,提出了一种具有鲁棒性的波束赋形设计方案。为了提升系统用户间的公平性,对最小的用户信干噪比进行优化,并构建了一个非凸的优化问题。针对问题的非凸特性以及引入信道估计误差带来的限制条件,基于S过程对问题进行变形,并通过半定松弛技术对问题进行凸化,提出了一种基于二分法的迭代波束赋形算法。仿真结果表明,相比于非鲁棒性算法,所提的算法能够获得25!到50!的性能增益。因此,所提算法更加适用于实际系统中的非理想信道环境。仿真结果还表明所提算法相比于线性能量收集模型或迫零波束赋形等方法,能够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.
【作者单位】： 北京邮电大学网络与交换技术国家重点实验室;
【基金】：国家自然科学基金(61471060);国家自然科学基金创新群体(61421061)
【分类号】：TN929.5
，
本文编号：2121129
[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.
【作者单位】： 北京邮电大学网络与交换技术国家重点实验室;
【基金】：国家自然科学基金(61471060);国家自然科学基金创新群体(61421061)
【分类号】：TN929.5
，
本文编号：2121129
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