能信协同超材料(Collaborative Power and Information Metamaterials,CPIM)是将电磁超材料与无线能量传输(Wireless Power Transfer,WPT)、无线能量收集(Wireless Energy Harvesting,WEH)和无线信息传输(Wireless Information Transfer...能信协同超材料(Collaborative Power and Information Metamaterials,CPIM)是将电磁超材料与无线能量传输(Wireless Power Transfer,WPT)、无线能量收集(Wireless Energy Harvesting,WEH)和无线信息传输(Wireless Information Transfer,WIT)有机融合的前沿领域,旨在实现能量与信息的高效协同传输和控制。CPIM器件凭借其灵活调控电磁波的能力和低成本、低能耗、低重量的优点可以有效解决大量低功耗设备的供能问题,同时保证高质量的通信传输。将能量与信息的多重功能融合于可操控的超材料器件中,以实现更紧凑、高效的能信协同传输效应。针对CPIM的工作基本原理和广泛实用性的应用场景,文章围绕WPT、WEH、WIT三大核心部分进行深入讨论和分析,并阐述了CPIM器件的工作原理和设计方法。最后给出了CPIM在未来的潜在研究和应用方向。文章旨在为研究人员提供基于超材料的能信协同传输技术的趋势和应用分析,推动无线通信和能源系统向更高效、智能化的方向发展。展开更多
研究了基于下行无线信息和能量协同传输(simultaneous wireless-information and power-transfer,SWIPT)大规模多输入单输出(multiple-input and single-output,MISO)系统的吞吐率优化问题.该系统为时分双工(time division duplex,TDD)...研究了基于下行无线信息和能量协同传输(simultaneous wireless-information and power-transfer,SWIPT)大规模多输入单输出(multiple-input and single-output,MISO)系统的吞吐率优化问题.该系统为时分双工(time division duplex,TDD)模式,同时移动站采用先收集后传输的协议.在下行信噪比(signal-to-noise ratio,SNR)和移动站的传输功率约束下,为实现上行吞吐率的最大化,对功率分配系数和下行传输时间进行了联合优化,由于该问题为非凸优化问题,采用基于拉格朗日乘子的梯度算法进行优化.最后,通过与单独优化下行传输时间算法的比较,验证了该联合优化算法的优越性.展开更多
在5G时代,无线信息与能量协同传输(Simultaneous Wireless Information and Power Transfer,SWIPT)通信受到人们的广泛关注。研究基于SWIPT技术的半双工中继协作系统,分析了由一个源、多个射频能量收集中继和多个目的地所组成的两跳协...在5G时代,无线信息与能量协同传输(Simultaneous Wireless Information and Power Transfer,SWIPT)通信受到人们的广泛关注。研究基于SWIPT技术的半双工中继协作系统,分析了由一个源、多个射频能量收集中继和多个目的地所组成的两跳协作网络下行系统性能。为兼顾传输性能与实现复杂度,设计了一种基于门限选择算法的链路选择方案,并探索不同的系统关键参数对SWIPT系统性能的影响。在功率分割(PS)协议下,考虑解码转发(DF)和放大转发(AF)两种中继策略,对选择方案进行传输容量和中断概率的性能分析,给出了功率分配因子对传输容量和中断性能的影响,数值仿真结果表明,将最佳功率分配因子设置在0.3,能够较好地兼顾系统中断概率和传输容量。同时还与传统的单中继通信场景进行了比较分析,以验证所设计的链路选择方案的有效性。展开更多
It is extensively approved that Channel State Information(CSI) plays an important role for synergetic transmission and interference management. However, pilot overhead to obtain CSI with enough precision is a signific...It is extensively approved that Channel State Information(CSI) plays an important role for synergetic transmission and interference management. However, pilot overhead to obtain CSI with enough precision is a significant issue for wireless communication networks with massive antennas and ultra-dense cell. This paper proposes a learning- based channel model, which can estimate, refine, and manage CSI for a synergetic transmission system. It decomposes the channel impulse response into multiple paths, and uses a learning-based algorithm to estimate paths' parameters without notable degradation caused by sparse pilots. Both indoor measurement and outdoor measurement are conducted to verify the feasibility of the proposed channel model preliminarily.展开更多
文摘能信协同超材料(Collaborative Power and Information Metamaterials,CPIM)是将电磁超材料与无线能量传输(Wireless Power Transfer,WPT)、无线能量收集(Wireless Energy Harvesting,WEH)和无线信息传输(Wireless Information Transfer,WIT)有机融合的前沿领域,旨在实现能量与信息的高效协同传输和控制。CPIM器件凭借其灵活调控电磁波的能力和低成本、低能耗、低重量的优点可以有效解决大量低功耗设备的供能问题,同时保证高质量的通信传输。将能量与信息的多重功能融合于可操控的超材料器件中,以实现更紧凑、高效的能信协同传输效应。针对CPIM的工作基本原理和广泛实用性的应用场景,文章围绕WPT、WEH、WIT三大核心部分进行深入讨论和分析,并阐述了CPIM器件的工作原理和设计方法。最后给出了CPIM在未来的潜在研究和应用方向。文章旨在为研究人员提供基于超材料的能信协同传输技术的趋势和应用分析,推动无线通信和能源系统向更高效、智能化的方向发展。
文摘研究了基于下行无线信息和能量协同传输(simultaneous wireless-information and power-transfer,SWIPT)大规模多输入单输出(multiple-input and single-output,MISO)系统的吞吐率优化问题.该系统为时分双工(time division duplex,TDD)模式,同时移动站采用先收集后传输的协议.在下行信噪比(signal-to-noise ratio,SNR)和移动站的传输功率约束下,为实现上行吞吐率的最大化,对功率分配系数和下行传输时间进行了联合优化,由于该问题为非凸优化问题,采用基于拉格朗日乘子的梯度算法进行优化.最后,通过与单独优化下行传输时间算法的比较,验证了该联合优化算法的优越性.
文摘在5G时代,无线信息与能量协同传输(Simultaneous Wireless Information and Power Transfer,SWIPT)通信受到人们的广泛关注。研究基于SWIPT技术的半双工中继协作系统,分析了由一个源、多个射频能量收集中继和多个目的地所组成的两跳协作网络下行系统性能。为兼顾传输性能与实现复杂度,设计了一种基于门限选择算法的链路选择方案,并探索不同的系统关键参数对SWIPT系统性能的影响。在功率分割(PS)协议下,考虑解码转发(DF)和放大转发(AF)两种中继策略,对选择方案进行传输容量和中断概率的性能分析,给出了功率分配因子对传输容量和中断性能的影响,数值仿真结果表明,将最佳功率分配因子设置在0.3,能够较好地兼顾系统中断概率和传输容量。同时还与传统的单中继通信场景进行了比较分析,以验证所设计的链路选择方案的有效性。
基金supported by National Basic Research Program of China (NO 2012CB316002)China’s 863 Project (NO 2014AA01A703)+2 种基金National Major Projec (NO. 2014ZX03003002-002)Program for New Century Excellent Talents in University (NCET-13-0321)Tsinghua University Initiative Scientific Research Program (2011THZ02-2)
文摘It is extensively approved that Channel State Information(CSI) plays an important role for synergetic transmission and interference management. However, pilot overhead to obtain CSI with enough precision is a significant issue for wireless communication networks with massive antennas and ultra-dense cell. This paper proposes a learning- based channel model, which can estimate, refine, and manage CSI for a synergetic transmission system. It decomposes the channel impulse response into multiple paths, and uses a learning-based algorithm to estimate paths' parameters without notable degradation caused by sparse pilots. Both indoor measurement and outdoor measurement are conducted to verify the feasibility of the proposed channel model preliminarily.