Throughput maximization in wireless powered communication networks
By Hyungsik Ju, Rui Zhang. Global Communications Conference, 2013
1,346 citations recorded by the source corpus.
This paper studies the newly emerging wireless powered communication network in which one hybrid access point (H-AP) with a constant power supply coordinates the wireless energy/information transmissions to/from a set of distributed users that do not have fixed energy sources. A “harvest-then-transmit” protocol is proposed where all users first harvest the wireless energy broadcast by the H-AP in the downlink (DL) and then send their independent information to the H-AP in the uplink (UL) by time-division-multiple-access (TDMA). First, we study the sum-throughput maximization of all users by jointly optimizing the time allocated to the DL wireless power transfer and the UL information transmissions given a total time constraint based on the users' DL and UL channels as well as their average harvested energy values. Our result reveals an interesting “doubly near-far” phenomenon due to both the DL and UL distance-dependent signal attenuation, where a far user from the H-AP, which receives less wireless energy than the nearer users in the DL, has to transmit with more power in the UL for reliable communication. As a result, the sum-throughput maximization solution allocates substantially more time to the near users than the far users, thus resulting in unfair rate allocation among users. To overcome this problem, we furthermore propose to maximize a new metric so-called common-throughput with an additional constraint that all users should be allocated with equal rates regardless of their distances to the H-AP. Simulation results demonstrate the effectiveness of the common-throughput approach for solving the uniquely new doubly near-far problem in wireless powered communication networks.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/37cb7bcf5df01d2a31cb7d1b38cfa0fd08b54653
How researchers see this paper
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In Electrical and Electronic Engineering
- Rui Zhang
- Robert Schober
- H. Vincent Poor
- Jie Xu
- Yong Zeng
- Changsheng You
- Derrick Wing Kwan Ng
- Dong In Kim
Citations in the corpus
- Wireless powered communication networks: an overview (2015, background): “This energy near-far effect can cause severe performance unfairness among WDs in different locations [4].”
- Wireless powered communication: opportunities and challenges (2014, methodology): “ontrollable energy source, a wireless powered communication network (WPCN) could be efficiently built to power multiple communic ation devices of different physical conditions and service requirements [3]. Besides, with RF-enabled WET, information could also be jointly transmitted with energy using t”
- Harvest-Then-Cooperate: Wireless-Powered Cooperative Communications (2014, methodology): “A classic multi-user WPCN was first investigated in [9].”
- Throughput Maximization for UAV-Enabled Wireless Powered Communication Networks (2018, methodology): “Next, the conventional WPCN suffers from the so-called “doubly near-far” problem [8], i.e., far-apart WDs from the AP receive lower RF energy in the downlink WPT, but they need to use higher transmit power in the uplink WIT to achieve the same rate as nearby WDs.”
- Wireless Networks With RF Energy Harvesting: A Contemporary Survey (2014, methodology): “The study in [17] extends [143] by considering the case with a multi-antenna access point.”
- A Survey on Mobile Edge Computing: The Communication Perspective (2017, background): “• Moreover, wireless power transfer (WPT), which charges mobile devices using RF wave [209], [210], is a newlyemerged solution that enables wireless charging and extends the battery life.”
- Computation Rate Maximization for Wireless Powered Mobile-Edge Computing With Binary Computation Offloading (2017, methodology): “, [9], [10], we do not assume a maximum transmit power constraint for the WDs because of the small amount energy harvested from WPT in practice.”
- Throughput Optimization for Massive MIMO Systems Powered by Wireless Energy Transfer (2014, methodology): “Some commercial products on WPCN are currently available [20].”
- Advances in Energy Harvesting Communications: Past, Present, and Future Challenges (2016, methodology): “Some works consider an issue that multiple access users are replenished by the downlink RF signals from transmitters [166], [167].”
- Incentive Mechanism Design for Wireless Energy Harvesting-Based Internet of Things (2017, methodology): “This battery-free design can reduce the complexity and costs of the sensors, which is particularly suitable for the considered IoT sensing applications and has been adopted by other applications [33], [34].”
- Robust Resource Allocation for MIMO Wireless Powered Communication Networks Based on a Non-Linear EH Model (2016, methodology): “However, the schemes in [14] and [19] may lead to a performance degradation in practical WPCNs, since their design was based on the linear EH model.”
- Fundamentals of Wireless Information and Power Transfer: From RF Energy Harvester Models to Signal and System Designs (2018, background): “In parallel, much attention has been drawn to WPCN [37], [38] and WPBC [39], [40].”
- A Survey of In-Band Full-Duplex Transmission: From the Perspective of PHY and MAC Layers (2015, background): “Another line of research is designing a wireless-powered communication network (WPCN) in which nodes communicate with the BS using energy harvested from wireless power transfer [208].”
- Cutting the last wires for mobile communications by microwave power transfer (2014, background): “The signal power received at the BS originates from the BS radiated power, and its closed-loop propagation (downlink+uplink) incurs double attenuation [5].”
- Ambient Backscatter Communications: A Contemporary Survey (2017, methodology): “In the first phase, the H-AP uses the downlink to transfer wireless energy to the backscatter transmitters.”
- Communications and Signals Design for Wireless Power Transmission (2016, background): “There are mainly two lines of research under this paradigm, namely SWIPT (see [106]–[109] and the references therein), where information and power are transmitted concurrently using the same RF waveform, and wireless powered communications (see [41]–[46] and the references therein), where the energy”
- Multi-Antenna Wireless Powered Communication With Energy Beamforming (2013, background): “1 [1], where an access point (AP) with constant power supply coordinates the downlink (DL) wireless information and energy L. Liu is with the Department of Electrical and Computer Engineering, National University of Singapore (e-mail:liu liang@nus.edu.sg).”
- Optimal Resource Allocation in Full-Duplex Wireless-Powered Communication Network (2014, methodology): “Furthermore, in our previous work [21] we have studied one particular WPCN model, as shown in Fig.”