Wireless Information and Power Transfer: A Dynamic Power Splitting Approach

By Liang Liu, Rui Zhang, Kee Chaing Chua. 2013

574 citations recorded by the source corpus.

Energy harvesting is a promising solution to prolong the operation time of energy-constrained wireless networks. In particular, scavenging energy from ambient radio signals, namely wireless energy harvesting (WEH), has recently drawn significant attention. In this paper, we consider a point-to-point wireless link over the flat-fading channel, where the receiver has no fixed power supplies and thus needs to replenish energy via WEH from the signals sent by the transmitter. We first consider a SISO (single-input single-output) system where the single-antenna receiver cannot decode information and harvest energy independently from the same signal received. Under this practical constraint, we propose a dynamic power splitting (DPS) scheme, where the received signal is split into two streams with adjustable power levels for information decoding and energy harvesting separately based on the instantaneous channel condition that is assumed to be known at the receiver. We derive the optimal power splitting rule at the receiver to achieve various trade-offs between the maximum ergodic capacity for information transfer and the maximum average harvested energy for power transfer, which are characterized by the boundary of a so-called "rate-energy (R-E)" region. Moreover, for the case when the channel state information is also known at the transmitter, we investigate the joint optimization of transmitter power control and receiver power splitting. The achievable R-E region by the proposed DPS scheme is also compared against that by the existing time switching scheme as well as a performance upper bound by ignoring the practical receiver constraint. Finally, we extend the result for optimal DPS to the SIMO (single-input multiple-output) system where the receiver is equipped with multiple antennas. In particular, we investigate a low-complexity power splitting scheme, namely antenna switching, which achieves the near-optimal rate-energy trade-offs as compared to the optimal DPS.

Subfields: Electrical and Electronic Engineering

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Citations in the corpus

Deep Learning for Distributed Optimization: Applications to Wireless Resource Management (2019, background): “Special cases of (P) have been widely studied in various network conﬁgurations such as multi-antenna multi-user systems [23], CR networks [24], wireless power transfer communications [26], and proactive eavesdropping applications [27].”
Fundamentals of Wireless Information and Power Transfer: From RF Energy Harvester Models to Signal and System Designs (2018, methodology): “Since then, SWIPT has attracted signiﬁcant interests in the communication literature with works covering a wide range of topics, among others MIMO broad-casting [25], [26], architecture [27], [28], interference channel [29]–[31], broadband system [32]–[34], relaying [35], [36].”
Optimal Resource Allocation in Full-Duplex Wireless-Powered Communication Network (2014, background): “, the point-to-point additive white Gaussian noise (AWGN) channel [3], [4], the fading AWGN channel [5], [6] the multi-antenna channel [7]–[9], the relay channel [10], [11], and the multi-carrier based broadcast channel [12]–[14].”
Joint Transmit Beamforming and Receive Power Splitting for MISO SWIPT Systems (2013, background): “The TS and PS schemes have also been investigated for SWIPT over fading channels to exploit opportunistic information and energy transmissions [3], [4].”
Multi-Antenna Wireless Powered Communication With Energy Beamforming (2013, background): “, [1]–[6]), where the achievable information versus energy transmission trade-offs were characterized under different channel setups.”
Wireless Information and Power Transfer in Multiuser OFDM Systems (2013, background): “SWIPT that exploits flatfading channel variations was studied in [7], [8], where the receiver performs dynamic time switching (DTS) [7] or dynamic power splitting (DPS) [8] to coordinate between EH and ID.”
Power Allocation Strategies in Energy Harvesting Wireless Cooperative Networks (2013, unknown): “The impact of power splitting on the tradeoff between the achievable information transfer rate and the harvested energy is characterized in [8], and the performance difference between power splitting and time sharing is studied in broadcasting scenarios in [9].”
Wireless powered communication: opportunities and challenges (2014, background): “The rate-energy region of AS approaches that of a PS receiver whe n the number of receive antennas is large enough [10].”
Wireless Networks With RF Energy Harvesting: A Contemporary Survey (2014, background): “Liu et al [156] Power-splitting Point-to-point SISO/MISO channel Flat fading channel Information and energy tradeoff With and without CSI at transmitter L.”
Wireless Information and Power Transfer With Full Duplex Relaying (2014, background): “More recently, sophistic ated architectures improving the rate-energy region were propo sed in [7, 8].”