Simultaneous wireless information and power transfer with fixed and adaptive modulation

Activating Wireless Power Transfer (WPT) in Radio-Frequency (RF) to provide on-demand energy supply to widely deployed Internet of Everything devices is a key to the next-generation energy self-sustainable 6G network. However, Simultaneous Wireless Information and Power Transfer (SWIPT) in the same RF bands is challenging. The majority of previous studies compared SWIPT performance to Gaussian signaling with an infinite alphabet, which is impossible to implement in any realistic communication system. In contrast, we study the SWIPT system in a well-known Nakagami-m wireless fading channel using practical modulation techniques with finite alphabet. The attainable rate-energy-reliability tradeoff and the corresponding rationale are revealed for fixed modulation schemes. Furthermore, an adaptive modulation-based transceiver is provided for further expanding the attainable rate-energy-reliability region based on various SWIPT performances of different modulation schemes. The modulation switching thresholds and transmit power allocation at the SWIPT transmitter and the power splitting ratios at the SWIPT receiver are jointly optimized to maximize the attainable spectrum efficiency of wireless information transfer while satisfying the WPT requirement and the instantaneous and average BER constraints. Numerical results demonstrate the SWIPT performance of various fixed modulation schemes in different fading conditions. The advantage of the adaptive modulation-based SWIPT transceiver is validated.     

最小化具有无线携能通信的全双工中继系统发射功率和

考虑在无线网络中采用信息与能量同步传输来提高无线中继系统的性能,提出了基于无线射频网络中采用无线携能通信（SWIPT）技术的具有自能量回收的双向传输全双工中继系统。SWIPT应用在双向全双工中继系统中是一个新的尝试,其中能量受限的目的节点使用从中继和环路信道捕获的能量来发送反馈信息,并给出了全双工中继系统工作的逻辑结构和能量受限的目的节点的物理结构。然后,以最小化系统发射功率和作为优化目标来描述系统的性能,采用功率分配方案进行信息解码和能量捕获,应用半定规划、秩松弛和拉格朗日方法将原始非凸优化方程转化为可解凸优化问题并求解,且联合优化了中继发射功率、发射波束成形向量和功率分配比率。最后,实验仿真对比了所提的新系统与传统双向传输中继系统,结果验证了利用自能量回收不仅可以消除自干扰,而且可以显著优化系统发射功率和,且由于SWIPT技术与全双工中继系统的结合,使得所提出的系统比传统的双向传输系统具有更高的性能增益。     

认知无线携能通信的关键技术及其研究进展

认知无线电（CR）与无线携能通信（SWIPT）的结合已经成为当今高能效认知无线通信的研究热点之一。首先阐述了SWIPT与认知SWIPT网络,而后介绍了SWIPT网络中两种接收机结构并给出相应的能量收集公式。然后,给出了认知SWIPT系统模型及其与协作中继技术、MIMO技术相结合进行系统建模的研究进展,并对认知SWIPT网络关键技术的未来研究方向进行了展望。最后,总结了近年来对认知SWIPT网络关键技术的研究成果,为高能效的安全认知SWIPT通信理论研究与未来应用提供了一定的借鉴意义。     

Real-time implementation of distributed beamforming for simultaneous wireless information and power transfer in interference channels

In this paper, we propose one-bit feedback-based distributed beamforming (DBF) techniques for simultaneous wireless information and power transfer in interference channels where the information transfer and power transfer networks coexist in the same frequency spectrum band. In a power transfer network, multiple distributed energy transmission nodes transmit their energy signals to a single energy receiving node capable of harvesting wireless radio frequency energy. Here, by considering the Internet-of-Things sensor network, the energy harvesting/information decoding receivers (ERx/IRx) can report their status (which may include the received signal strength, interference, and channel state information) through one-bit feedback channels. To maximize the amount of energy transferred to the ERx and simultaneously minimize the interference to the IRx, we developed a DBF technique based on one-bit feedback from the ERx/IRx without sharing the information among distributed transmit nodes. Finally, the proposed DBF algorithm in the interference channel is verified through the simulations and also implemented in real time by using GNU radio and universal software radio peripheral.     

面向无线传感器网络的无线携能通信研究

能量受限是无线传感器网络应用的瓶颈问题,为了使无线传感器网络获得稳定持续的能量来源,提出将无线携能通信（ SWIPT）技术应用到无线传感器网络中。基于时分多址（ TDMA）的通信方式建立了适应于无线传感器网络的无线携能通信系统新优化模型。通过凸优化问题的求解得到该优化模型的最优分配策略。利用仿真实验对无线携能通信在无线传感器网络中应用的可行性进行了分析,对方法的有效性进行了验证。     

无线携能OFDM中继系统的联合资源分配研究

在能量受限的中继系统中,无线携能通信技术是一种有效地延长其使用寿命的方法. 本文研究具有大规模天线阵列结构的正交频分复用（OFDM）解码转发中继系统的无线携能通信,其发送端配备了大规模天线阵列. 传输过程分为3个时隙,在第一个时隙,发送端运用基于最大比传输的波束成形向中继传输能量;在第二个时隙,发送端向中继发送信息;在第三个时隙,中继使用之前收获的能量向接收端转发信息. 讨论了信息和能量传输的功率在各子载波间的分配以及3个时隙的时长分配问题,提出了一种最大化传输信息速率的时间和功率联合分配最优算法. 仿真结果表明,该算法明显优于已有功率和时间分配算法.     

协作SWIPT-NOMA系统的物理层安全性研究

针对协作非正交多址接入(Non-orthogonal Multiple Access,NOMA)系统中用户充当中继并存在窃听者的场景,提出了一种新型协作干扰传输方案,以提高该系统的安全性.在第一时隙,基站将混合信号进行广播,同时为了干扰窃听者,信道条件较差的用户采用全双工的工作模式,发出协作干扰信号对窃听者进行干扰.在...     

双IRS辅助的NOMA无线携能通信网络优化

无线携能传输（simultaneous wireless information and power transfer,SWIPT）能够有效解决通信终端的能源受限问题,而智能反射面（intelligent reflecting surface,IRS）能够辅助增强SWIPT的效率。为了克服单个IRS覆盖范围有限的缺点,以及进一步提高SWIPT的时间和频谱资源利用率,考虑了一个双IRS辅助基于非正交多址接入技术（non-orthogonal multiple access,NOMA）的无线携能通信系统,其中发送端的波束成形矢量、每个IRS的相移以及接收端的功率分割系数将进行联合优化以最大化系统的最小用户速率。为解决上述有着高度耦合优化变量的非凸优化问题,提出一个基于半正定松弛技术（semidefinite relaxation,SDR）和连续凸逼近技术（successive convex approximation,SCA）的交替优化（alternative optimization,AO）算法来高效求解该问题。仿真结果表明,双IRS辅助的系统比传统的单IRS辅助的系统能够实现更高的最小速率,揭示了部署双IRS的优异性、所提算法的有效性以及联合优化IRS相移及功率分割系数在提升用户速率性能方面的重要性。     

无线携能网络中一种非线性能量收集与信息传输均衡策略

在无线携能(SWIPT)网络中,节点通常采用非线性能量收集。论文首先建立了非线性能量收集模型,提出了时隙切换与静态功率分割相结合的智能协同SWIPT传输方案(CoTP),推导了该传输方案的速率-能量(R-E)域,研究了接收端存在电路功耗情况下CoTP方案的速率-能量(R-E)均衡策略。同时,论文将所提的CoTP策略与动态功率分割(DPS)、开-关功率分割(OPS)、静态功率分割(SPS)与时隙切换策略(TS)的R-E域性能进行了比较,仿真分析了噪声以及接收端电路功耗对R-E域性能的影响。数值结果表明,与其他方案相比,若不考虑电路功耗情况,所提CoTP策略在每比特收集能量为0.6 mJ~2。4 mJ时具有较高的可达速率。若考虑电路功耗情况,所提CoTP策略在每比特收集能量为0 mJ~15 mJ时具有较高的可达速率,可以实现能量收集与信息传输的均衡。      

An Adaptive Power Allocation Scheme for Performance Improvement of Cooperative SWIPT NOMA Wireless Networks

Future wireless networks demand high spectral efficiency, energy efficiency and reliability. Cooperative non-orthogonal multiple access (NOMA) with simultaneous wireless information and power transfer (SWIPT) is considered as one of the novel techniques to meet this demand. In this work, an adaptive power allocation scheme called SWIPT based adaptive power allocation (SWIPT-APA-NOMA) is proposed for a power domain NOMA network. The proposed scheme considers the receiver sensitivity of the end users while calculating the power allocation coefficients in order to prevent wastage of power allocated to user in outage and by offering priority to any one of the users to use maximum harvested power. A detailed analysis on the bit error rate (BER) performance of the proposed scheme is done and closed form expression is obtained. Simulations have been carried out with various parameters that influence the receiver sensitivity and the results show that the network achieves better outage and BER performance using the proposed scheme. It is found that the proposed scheme leads to a ten-fold decrease in transmit power for the same error performance of a fixed power allocation scheme. Further, it offers 96.06% improvement in the capacity for a cumulative noise figure and fading margin of 10 dB.