论文总字数:35988字
摘 要
无线携能通信近年来引起了广泛的研究热潮,其通过无线信息和能量的并行传输,有效解决了无线网络系统中终端设备能量供应不足问题。本文首先研究了现有单小区SWIPT系统中无信道误差时的波束成形设计,仿真实现了两种现有的优化算法,并对这些算法进行了性能仿真和比较。其次,在上述基础上进一步提出了单小区SWIPT系统中有信道误差时的鲁棒波束成形设计,该方案初始是一个有无穷约束的非凸问题,先将其变成一个有有限约束但仍非凸的较简单问题,再应用SDR技术,将其变为了一个能有效解决的SDP问题,之后又仿真实现了所提最优算法性能,得到了初始问题的最优解。最后,基于单小区方案研究了蜂窝多小区多用户场景下SWIPT系统无信道误差时的协调波束成形设计,针对所描述的多小区SWIPT系统模型,提出了最优算法和基于ZF的次优算法两种优化算法,并对这两种算法进行了性能仿真比较。仿真表明,最优方案性能优于次优方案,且采用最优算法后可有效利用其他小区发射波束干扰,降低其造成的危害,减少网络成本。
关键词: 无线携能通信(SWIPT),波束成形,半定松弛,信道状态信息,
多小区
A NOVEL TRANSMISSION SCHEME FOR
SWIPT SYSTEMS
04011407 Zhang Shan
Supervised by Yang Luxi
Abstract
Recently, there has been an upsurge of research interests in simultaneous wireless information and power transfer (SWIPT), where energy and information are jointly transmitted using the same radio waveform. It’s a promising new solution to provide convenient and perpetual energy supplies to wireless networks. This paper first studies the design of transmit beamforming in a single cell SWIPT system with perfect CSI. And we compare the performance of the proposed optimal and ZF-based suboptimal solutions by simulations. Next, on this basis, we further propose a robust beamforming design problem when the perfect CSI is not available at the transmitter. The initial problem is a nonconvex with infinite number of constraints. Applying certain transformation techniques, we first convert it into an easier problem with finite constraints, which is still nonconvex. Using the SDR technique, we obtain a relaxed SDP problem which can be solved efficiently. Then simulation results are demonstrated to assess the performance advantages of the proposed robust design scheme. Finally, a multicell coordinated beamforming design scheme in the multiuser MISO SWIPT broadcast system with perfect CSI is proposed. Based on this SWIPT system model, We consider two optimization algorithms, and compare their performance by simulations. Simulation results show that the performance of the proposed optimal scheme is better than the ZF-based suboptimal scheme. Also we can efficiently make use of the interference from other cells and reduce the cost of the network by the optimal scheme.
Key words: simultaneous wireless information and power transfer (SWIPT), beamforming,
semidefinite relaxation(SDR), channel state information(CSI), multicell
符号说明
的单位矩阵 | |
矩阵或矢量的共轭转置 | |
矩阵或矢量的转置 | |
矢量或标量的共轭 | |
矩阵的迹 | |
矩阵的秩 | |
| ,的l-2范数 |
| ,的Frobenius范数 |
| 为Hermitian正定矩阵 |
| 维复向量空间 |
均值为,方差为的循环对称复高斯分布 | |
定义为 |
英文缩略词表
WSN | Wireless Sensor Network |
WET | Wireless Energy Transfer |
RF | Radio Frequency |
MIMO | Multiple-Input Multiple-Output |
MISO | Multiple-Input Single-Output |
RFID | Radio Frequency Identification |
SWIPT | Simultaneous Wireless Information and Power Transfer |
TS | Time Switching |
PS | Power Splitting |
ID | Information Decoding |
EH | Energy Harvesting |
RF-EHN | RF Energy Harvesting Network |
QCQP | Quadratically Constrained Quadratic Programming |
SDP | Semidefinite Program |
SDR | Semidefinite Relaxation |
ZF | Zero Forcing |
MRT | Maximum Ratio Transmission |
CSI | Channel State Information |
SINR | Signal to Interference plus Noise ratio |
R-E | Rate-Energy |
QoS | Quality of Service |
TDMA | Time Division Multiple Access |
BS | Base Station |
MS | Mobile Station |
JBPS | Joint Beamforming Power |
EVD | Eigenvalue Decomposition |
CSCG | Circularly Symmetric Complex Gaussian |
SVD | Singular Value Decomposition |
目 录
摘 要 I
Abstract II
符号说明 III
英文缩略词表 IV
目 录 VI
表格目录 VIII
插图目录 IX
第一章 无线携能通信系统概述 1
1.1 SWIPT系统接收机结构 1
1.2 SWIPT系统中的波束成形技术 4
1.2.1 无安全通信约束的SWIPT系统波束成形优化 5
1.2.2 有安全通信约束的SWIPT系统波束成形 7
1.2.3 能量波束成形 8
1.3本文工作和章节安排 9
第二章 已知全局CSI时单小区SWIPT系统波束成形设计 11
2.1 系统模型与问题描述 11
2.2 JBPS问题何时可行 13
2.3 最优解 14
2.4 次优解 16
2.5 仿真结果 17
2.6 本章总结 20
第三章 已知部分CSI时单小区SWIPT系统波束成形设计 21
3.1系统模型与问题描述 21
3.2最优解 23
3.3仿真结果 25
3.4本章总结 28
第四章 已知全局CSI时多小区SWIPT系统波束成形设计 29
4.1系统模型与问题描述 29
4.2最优解 31
4.3 次优解 32
4.4仿真结果 33
4.5本章总结 35
第五章 总结与展望 36
5.1全文总结 36
5.2 后续工作 36
附录 37
附录A 37
附录B 37
附录C 38
附录D 40
参考文献 42
致 谢 45
表格目录
表格 2‑1 算法1:问题(2-7)最优算法 15
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