面向多天线信息与能量同传系统的收发机设计方法研究

发布时间：2018-04-20 19:09

本文选题：波束成型 + 收发机设计　；参考：《浙江大学》2017年博士论文

【摘要】：近年来,基于能量收集的通信系统受到了学术界的广泛关注,这种系统可以利用无线电波同时进行信息与能量的传输。针对为无线通信系统提供高效持久的能量供应这一重要问题,该技术提供了一种有效的解决方案。因此,学术界对信息与能量同传技术展开了深入的研究,这也为无线传输方案以及策略的设计和分析带来了新的可能和挑战。本文论文主要结合全双工技术和云接入网技术研究了多种多天线信息与能量同传系统中的收发机设计算法。其中,全双工技术是下一代无线移动通信系统中的一种强大有效的技术,相比于传统的半双工传输技术,全双工技术可以使得结点能够同时同频进行信息的发送和接收,并以此获得更好的频谱效率。而云接入网是一种新型的网络架构,可以通过提升频谱和能量效率来满足用户对信息传输速率和传输质量的更高需求。首先,在多用户多输入单输出(Multiple-Input Single-Output,MISO)干扰系统中,论文结合信息与能量同传研究了相应的收发机设计算法。在该系统中,接收端收到的信号可以分成两部分,一部分用于信息解调,另一部分用于能量收集。本文的目标是在接收端信干噪比和能量收集约束下,通过联合设计发送波束成型向量和接收端功率分裂因子来最小化系统的总传输功率。大多数考虑此类问题的文章中均假设信道环境是理想的,但是在实际系统中信道误差是难以避免的。因此,论文考虑了该系统中的鲁棒收发机设计算法,并假设信道响应满足范数约束误差模型。论文中提出了三种算法来求解此优化问题,其中每种算法都有不同的性能和复杂度。仿真实验验证了所提出算法的鲁棒性和高效性。其次,在多用户MISO中继系统中,论文研究了面向信息能量同传的收发机设计算法。假设发送端和中继节点都配置有多根天线,而接收端只配置有一根天线,论文研究了该系统中的联合收发机设计问题。本论文的主要目标是在信干噪比和能量收集约束下,通过联合设计发送端波束成型向量,中继处理矩阵和接收端功率分裂因子来最小化发送端和中继的总发送功率。论文利用轮换寻优思想和交换中继思想分别提出了相应的非鲁棒算法和鲁棒算法。特别地,交换中继的主要思想是在中继处配置一个含有置换矩阵的码本,根据码本中的每个置换矩阵,都可以设计一组潜在收发机(包含发送波束成型向量,适当缩放的中继置换矩阵和接收端功率分裂因子)。在所有的潜在收发机中,可以选择其中总传输功率最小的一组作为最终的收发机。论文通过仿真实验验证了所提出算法的高效性。再次,在多输入多输出(Multiple-Input Multiple-Output,MIMO)干扰系统中,论文研究了结合全双工技术和信息能量同传技术的收发机设计算法。为了对系统中的复杂干扰信号进行缓解和利用,论文考虑了通信系统中两种重要的效用问题,即功率最小化问题和速率最大化问题。针对这两种优化问题,论文分别提出了相应的基于轮换寻优的算法和基于固定波束成型器(最大比传输波束成型器和最大信漏比波束成型器)的简化算法。论文用仿真实验验证了所提出算法的高效性。最后,论文研究了全双工云接入网系统中面向信息能量同传的收发机设计算法。在该系统中,一组工作在全双工模式的远端无线单元在接收上行链路用户信息的同时,也发送信息和能量给下行链路用户,其中下行链路用户配置有功率分裂接收机,可以实现信息与能量同传。论文的目标是在上下行服务质量和能量收集的约束下,最小化系统的总能耗。由于优化问题中发送端波束成型向量,上行链路发送功率和下行链路功率分裂因子都耦合在一起,因此非常难解。论文提供了三种不同的途径来求解该联合收发机设计问题,并得到了相应的算法。具体地,在第一种算法中,论文提出了一种基于轮换寻优的算法,且利用问题的特殊结构,论文证明了尽管优化变量耦合在约束中,但是该算法还是能够收敛到原问题的卡罗需-库恩-塔克(Karush-Kuhn-Tucker,KKT)解。在第二种算法中,论文利用凹凸规划的思想用凸约束来逼近原非凸约束,这样在算法的每次迭代中只需要求解一个子问题即可。然后,论文提出了两种启发式算法,它们可以在较低复杂度的情况下达到相当不错的性能。最后,论文通过仿真验证了所提出的全双工算法性能相对于半双工算法有很大的优势。
[Abstract]:In recent years, the communication system based on energy collection has received extensive attention from the academic community. This system can use radio waves to transmit information and energy simultaneously. The technology provides an effective solution for providing efficient and durable energy supply for wireless communication systems. This paper has brought new possibilities and challenges for the design and analysis of wireless transmission schemes and strategies. This paper mainly combines full duplex technology and cloud access network technology to study the transceiver design algorithm in a variety of multi antenna information and energy transmission systems. In this paper, full duplex technology is used. It is a powerful and effective technology in the next generation wireless mobile communication system. Compared with the traditional semi duplex transmission technology, full duplex technology can enable nodes to transmit and receive information at the same time and obtain better spectral efficiency. And cloud access network is a new network architecture, which can be enhanced by increasing the spectrum. And energy efficiency to satisfy the user's higher demand for information transmission rate and transmission quality. First, in the Multiple-Input Single-Output (MISO) interference system, the paper studies the corresponding transceiver design algorithm combined with the information and energy transmission. In this system, the received signals can be divided into two Part, part of it is used for information demodulation, and the other is used for energy collection. The aim of this paper is to minimize the total transmission power by sending beam forming vectors and receiving end power split factors by joint design of signal to noise ratio and energy collection constraints. In most of the articles considering such problems, the channel rings are assumed to be assumed. The boundary is ideal, but the channel error in the actual system is difficult to avoid. Therefore, the paper considers the robust transceiver design algorithm in the system, and assumes that the channel response satisfies the norm constraint error model. Three algorithms are proposed to solve the optimization problem, and each of the algorithms has different performance and complexity. True experiments verify the robustness and efficiency of the proposed algorithm. Secondly, in the multiuser MISO relay system, the paper studies the design algorithm of the transceiver oriented to information energy transmission. It is assumed that both the transmitter and the relay nodes are configured with multiple antennas, while the receiver is only equipped with a sky line. The paper studies the joint transceiver in the system. The main goal of this paper is to minimize the total transmission power of the sending end and relay by combining the design of the transmitting end beamforming vector, the relay processing matrix and the receiver power split factor by combining the signal to noise ratio and the energy collection constraints. In particular, the main idea of switching relay is to configure a codebook containing a permutation matrix in the relay. According to each permutation matrix in the codebook, a set of potential transceivers (including a transmission beam forming vector, a proper scaling relaying permutation matrix and a receiver power split factor) can be designed. In some potential transceivers, a group of the smallest total transmission power can be selected as the final transceiver. The effectiveness of the proposed algorithm is verified by simulation experiments. Again, in the multiple input multiple output (Multiple-Input Multiple-Output, MIMO) interference system, the paper studies the combination of full duplex technology and information energy transmission. In order to alleviate and utilize the complex interference signals in the system, the paper considers two important utility problems in the communication system, namely, the power minimization problem and the rate maximization problem. For these two optimization problems, the paper proposes the corresponding algorithm based on rotation optimization and the fixation based on the fixation. A simplified algorithm for beamforming (maximum ratio transmission beamformer and maximum leaking ratio beamformer). This paper uses simulation experiments to verify the efficiency of the proposed algorithm. Finally, a design algorithm for a transceiver for information energy sharing in full duplex network system is studied. In this system, one group works in full duplex mode. The remote wireless unit also sends information and energy to the downlink user while receiving the uplink user information. The downlink user is configured with a power split receiver and can achieve the simultaneous transmission of information and energy. The goal of the paper is to minimize the total energy consumption of the system under the constraints of the quality of service and energy collection. Because of the transmitting end beamforming vector in the optimization problem, both the uplink transmission power and the downlink power split factor are coupled together, so it is very difficult to solve the problem. This paper provides three different ways to solve the design problem of the joint transceiver and get the corresponding algorithm. Based on the algorithm of rotation optimization, and using the special structure of the problem, the paper proves that although the optimization variable is coupled in the constraint, the algorithm is still able to converge to the original problem Carol Kuhn Tucker (Karush-Kuhn-Tucker, KKT) solution. In the second algorithms, the paper uses the convex constraint to approximate the original non convex algorithm. In this way, we only need to solve a sub problem in each iteration of the algorithm. Then, the paper proposes two heuristic algorithms, which can achieve fairly good performance in the case of low complexity. Finally, the simulation results show that the performance of the proposed full duplex algorithm is superior to the semi duplex algorithm. Potential.

【学位授予单位】：浙江大学
【学位级别】：博士
【学位授予年份】：2017
【分类号】：TN859

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