Wireless Information Transfer with Opportunistic Energy Harvesting

By Liang Liu, Rui Zhang, Kee Chaing Chua. IEEE Transactions on Wireless Communications, 2012

503 citations recorded by the source corpus.

Energy harvesting is a promising solution to prolong the operation 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 narrowband flat-fading channel subject to time-varying co-channel interference. It is assumed that the receiver has no fixed power supplies and thus needs to replenish energy opportunistically via WEH from the unintended interference and/or the intended signal sent by the transmitter. We further assume a single-antenna receiver that can only decode information or harvest energy at any time due to the practical circuit limitation. Therefore, it is important to investigate when the receiver should switch between the two modes of information decoding (ID) and energy harvesting (EH), based on the instantaneous channel and interference condition. In this paper, we derive the optimal mode switching rule at the receiver to achieve various trade-offs between wireless information transfer and energy harvesting. Specifically, we determine the minimum transmission outage probability for delay-limited information transfer and the maximum ergodic capacity for no-delay-limited information transfer versus the maximum average energy harvested at the receiver, which are characterized by the boundary of so-called "outage-energy" region and "rate-energy" region, respectively. Moreover, for the case when the channel state information (CSI) is known at the transmitter, we investigate the joint optimization of transmit power control, information and energy transfer scheduling, and the receiver's mode switching. The effects of circuit energy consumption at the receiver on the achievable rate-energy trade-offs are also characterized. Our results provide useful guidelines for the efficient design of emerging wireless communication systems powered by opportunistic WEH.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/f1b926235ddfe96ffcb5920b1007dc229e6f9034

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Citations in the corpus

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.”
Energy Efficient User Association and Power Allocation in Millimeter-Wave-Based Ultra Dense Networks With Energy Harvesting Base Stations (2017, background): “Chunxiao Jiang is with Tsinghu Space Center, Tsinghua University, Beijing 100084, P. R. China (e-mail: chx.jiang@gmail.com).”
Wireless Networks With RF Energy Harvesting: A Contemporary Survey (2014, background): “Liu et al [158] Time-switching Point-to-point SISO interference channel Flat fading channel Information and energy tradeoff, outage probability and energy tradeoff With and without CSI at transmitter”
Fundamentals of Wireless Information and Power Transfer: From RF Energy Harvester Models to Signal and System Designs (2018, background): “Unlike traditional wireless communications where the interference is treated as an undesired phenomenon for WIT, it can be exploited for wireless energy harvesting [29], [113], which reveals an interesting new research on interference management in WIPT systems.”
Energy Harvesting Wireless Communications: A Review of Recent Advances (2015, background): “The simultaneous energy and information transfer literature has been extended to MIMO broadcast [96], fading [97], MIMO”
Wireless Information and Power Transfer: Energy Efficiency Optimization in OFDMA Systems (2013, methodology): “As a compromise solution, three different types of receivers, namely power splitting, separated, and time-switching receivers, were proposed in [12], [13].”
Energy-efficient dynamic offloading and resource scheduling in mobile cloud computing (2016, methodology): “Thus, similar to the relaxation method in [20]–[24], we first relax the binary computation offloading decision variable am,n to a real number between 0 and 1, i.”
Wireless powered communication: opportunities and challenges (2014, background): “EH and ID performance, the receiver could adapt its strategy o the channel conditions and interference level [9].”
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].”
Throughput Optimization for Massive MIMO Systems Powered by Wireless Energy Transfer (2014, background): “SWIPT has also been studied in fading channels [5], and orthogonal frequency division multiplexing (OFDM) systems [6]–[9], and other multiuser channel setups such as broadcast channels [10], [11], relay channels [12], [13], and interference channels [14], [15].”
Secrecy wireless information and power transfer with MISO beamforming (2013, methodology): “, −60dBm for IRs versus −10dBm for ERs), a receiver-location-based scheduling for information and energy transmission has been proposed in [2], [3], where ERs need to be in more proximity to the transmitter than IRs.”
Wireless Information and Power Transfer: A Dynamic Power Splitting Approach (2013, methodology): “Note that for the SISO fading channel case, antenna switching reduces to time switching, which has been studied in our previous work [5].”
Relaying Protocols for Wireless Energy Harvesting and Information Processing (2012, methodology): “Moreover, we consider two different transmission modes, i) delay-limited and ii) delay-tolerant, which refer to the applicability of different length of the code-words [11].”
Joint Transmit Beamforming and Receive Power Splitting for MISO SWIPT Systems (2013, background): “, −60dBm for the information receiver versus −10dBm for the energy receiver) [1], [3], a “nearfar” or receiver-location based scheduling for a MISO SWIPT system was proposed in [7], where receivers that are close to the transmitter are scheduled for energy transmission, while others that are more di”
Multiuser MISO Beamforming for Simultaneous Wireless Information and Power Transfer (2013, background): “The authors in [4] studied SWIPT for fading AWGN channels subject to time-varying co-channel interference, and proposed a new principle term ed “opportunistic energy harvesting” where the receiver swit ches between harvesting energy and decoding information based o n the wireless channel condition a”
Advances in Energy Harvesting Communications: Past, Present, and Future Challenges (2016, background): “In [61], the authors investigate a point-to-point wireless link, in which the receiver decodes information and harvests energy from the transmitter with a fixed power supply at the same time.”
Opportunistic Wireless Energy Harvesting in Cognitive Radio Networks (2013, background): “have studied “opportunistic” RF energy harvesting where the receiver opportunistically harvests RF energy or decodes information subject to time-varying co-channel interference [16].”
Power Allocation Strategies in Energy Harvesting Wireless Cooperative Networks (2013, unknown): “In [5] the authors study energy harvesting for communication s cenarios with co-channel interference, where such interfere nce is identified as a potential energy source.”
Cognitive and Energy Harvesting-Based D2D Communication in Cellular Networks: Stochastic Geometry Modeling and Analysis (2014, background): “In [13], for a point-to-point wireless link, the authors assume that the receiver can either harvest energy from ambient RF signals or decode information at any point of time.”
Communications and Signals Design for Wireless Power Transmission (2016, background): “For example, for co-located energy/information receivers, time switching and power splitting are two prominent strategies to achieve both energy and information receptions at the same node [40], [194]–[196].”