A new scheme of dynamic power allocation in wireless powered communication

Abstract In this article, we propose a new generalized selection transmit scheme (GSTS) for wireless powered communication (WPC), where data access point (DAP) is powered by energy access point (EAP) to communicate with wireless device (WD). Theoretically speaking, allocating all harvesting energy to the antenna with the best channel gain will achieve the optimal performance. While the harvesting energy is dynamic and may exceed the power limitation of single antenna, we should allocate the harvesting energy to the best antennas subset with the minimum number of antennas. That is GSTS. For GSTS, we derive the new closed-form probability density function (PDF) of signal to noise ratio (SNR). According to the derived PDF, the approximate outage probability is derived. In order to depict the trend of outage probability at high SNR area, the diversity order is derived. It is determined by the minimum one of the transmit antenna number of EAP and that of DAP. Besides, the influence of line-of-sight (LOS) component in wireless power transfer (WPT) is also discussed.

[1]  A. Robert Calderbank,et al.  Space-Time Codes for High Data Rate Wireless Communications : Performance criterion and Code Construction , 1998, IEEE Trans. Inf. Theory.

[2]  Kaibin Huang,et al.  Enabling Wireless Power Transfer in Cellular Networks: Architecture, Modeling and Deployment , 2012, IEEE Transactions on Wireless Communications.

[3]  George A. F. Seber.  The non-central chi-squared and beta distributions , 1963 .

[4]  Victor C. M. Leung,et al.  Opportunistic communications in interference alignment networks with wireless power transfer , 2015, IEEE Wireless Communications.

[5]  Peter Grant,et al.  DIGITAL COMMUNICATIONS , 2022 .

[6]  Rui Zhang,et al.  Wireless Power Meets Energy Harvesting: A Joint Energy Allocation Approach in OFDM-Based System , 2014, IEEE Transactions on Wireless Communications.

[7]  Li Chen,et al.  Active Base Station Set Optimization for Minimal Energy Consumption in Green Cellular Networks , 2015, IEEE Transactions on Vehicular Technology.

[8]  Mohamed-Slim Alouini,et al.  Order Statistics in Wireless Communications: Diversity, Adaptation, and Scheduling in MIMO and OFDM Systems , 2011 .

[9]  Xuan Li,et al.  Joint Beamforming Design and Time Allocation for Wireless Powered Communication Networks , 2014, IEEE Communications Letters.

[10]  Yu-Ming Chu,et al.  On approximating the modified Bessel function of the second kind , 2017, Journal of Inequalities and Applications.

[11]  Xiaohui Chen,et al.  Performance analysis of multi-antennas combining and selection schemes for wireless-powered communication , 2017, Journal of Communications and Networks.

[12]  Xianfu Chen,et al.  Energy-Efficient Optimization for Wireless Information and Power Transfer in Large-Scale MIMO Systems Employing Energy Beamforming , 2013, IEEE Wireless Communications Letters.

[13]  Victor C. M. Leung,et al.  Wireless energy harvesting in interference alignment networks , 2015, IEEE Communications Magazine.

[14]  Kee Chaing Chua,et al.  Multi-Antenna Wireless Powered Communication With Energy Beamforming , 2013, IEEE Transactions on Communications.

[15]  Hyungsik Ju,et al.  Optimal Resource Allocation in Full-Duplex Wireless-Powered Communication Network , 2014, IEEE Transactions on Communications.

[16]  H. O. Lancaster,et al.  Chi-Square Distribution , 2005 .

[17]  Li Chen,et al.  Stochastic Wireless Powered Communication Networks With Truncated Cluster Point Process , 2017, IEEE Transactions on Vehicular Technology.

[18]  Hyungsik Ju,et al.  Throughput Maximization in Wireless Powered Communication Networks , 2013, IEEE Trans. Wirel. Commun..

[19]  Mohamed-Slim Alouini,et al.  Wireless Energy Harvesting Using Signals From Multiple Fading Channels , 2017, IEEE Transactions on Communications.

[20]  Rui Zhang,et al.  Node Placement Optimization in Wireless Powered Communication Networks , 2014, 2015 IEEE Global Communications Conference (GLOBECOM).

[21]  Lawrence Leemis,et al.  Computing the distribution of the product of two continuous random variables , 2004, Comput. Stat. Data Anal..

[22]  George K. Karagiannidis,et al.  Secure Multiple Amplify-and-Forward Relaying Over Correlated Fading Channels , 2017, IEEE Transactions on Communications.

[23]  Zhu Han,et al.  Wireless Charging Technologies: Fundamentals, Standards, and Network Applications , 2015, IEEE Communications Surveys & Tutorials.

[24]  Rui Zhang,et al.  Wireless powered communication networks: an overview , 2015, IEEE Wireless Communications.

[25]  Georgios B. Giannakis,et al.  A simple and general parameterization quantifying performance in fading channels , 2003, IEEE Trans. Commun..

[26]  Daniel Benevides da Costa,et al.  Cooperative Dual-Hop Relaying Systems with Beamforming over Nakagami-m Fading Channels , 2009, IEEE Trans. Wirel. Commun..

[27]  Cong Ling,et al.  MIMO broadcasting for simultaneous wireless information and power transfer: Weighted MMSE approaches , 2014, 2014 IEEE Globecom Workshops (GC Wkshps).

[28]  Xiaoming Chen,et al.  Wireless Energy and Information Transfer Tradeoff for Limited-Feedback Multiantenna Systems With Energy Beamforming , 2013, IEEE Transactions on Vehicular Technology.

[29]  Zhu Han,et al.  Wireless Networks With RF Energy Harvesting: A Contemporary Survey , 2014, IEEE Communications Surveys & Tutorials.

[30]  Yong Liang Guan,et al.  Utility maximization for wirelessly powered multiple-antenna systems , 2014, 2014 Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking Workshops (SECON Workshops).

[31]  George K. Karagiannidis,et al.  Secure Multiple Amplify-and-Forward Relaying With Cochannel Interference , 2016, IEEE Journal of Selected Topics in Signal Processing.

[32]  I. S. Gradshteyn,et al.  Table of Integrals, Series, and Products , 1976 .

[33]  Rui Zhang,et al.  Wireless powered communication: opportunities and challenges , 2014, IEEE Communications Magazine.