Preliminary evaluation of simultaneous data and power transmission in the same frequency channel

Yamazaki, Keita; Sugiyama, Yusuke; Kawahara, Yoshihiro; Saruwatari, Shunsuke; Watanabe, Takashi

doi:10.1109/wcnc.2015.7127646

Cited by 13 publications

(9 citation statements)

References 12 publications

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“…Unfortunately, the current WPSN solutions which are developed based on time-multiplexing are confronted with a number of issues when there are no efficient strategies in place [36]. Such issues range from unfairness in EH time allocation, interference problems caused by energy transmission in the context of multiple IPS, to unequal information communication rates within the sensors in a network [41,42]. A multi-class, multiple-intended-source (MCMIS) WPSN system is proposed for monitoring the quality of water in water stations, to address the above-mentioned issues.…”

Section: Related Literaturementioning

confidence: 99%

Efficient energy resource utilization in a wireless sensor system for monitoring water quality

Olatinwo

Joubert

2019

J Wireless Com Network

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In this paper, a new approach to energy harvesting and data transmission optimization in a heterogeneous-based multi-class and multiple resource wireless transmission wireless sensor network system that focus on monitoring water and its quality is presented. Currently, energy is a scarce resource in wireless sensor networks due to the limited energy budget of batteries, which are typically employed for powering sensors. Once the available energy of a particular sensor node battery is depleted, such sensor node becomes inactive in a network. As a consequence, such node may not be able to participate in the transmission of the application signal in the uplink stage of the network, resulting in a lack of ability to communicate vital signals in a timely manner. Energy scarcity has been a long standing problem in wireless sensor network applications. To address this problem, energy harvesting from intended radiofrequency power source is considered in this work. However, wirelessly powered wireless sensor network systems are confronted by unfairness in resource allocation problem, as well as interference problem in multiple energy resource transmissions. These problems adversely impact the performance of the system in the context of the harvested energy by the sensor nodes, sensors information transmission rates, and the overall system throughput rate. These problems are tackled in this paper by formulating a sum-throughput maximization problem to reduce system energy consumption and enhance the system overall throughput rate. The throughput optimization problem is formulated as a non-convex function. Through the exploitation of the problem structure, it is converted to a convex function. The mathematical models of the optimization problem are validated through numerical simulations. The simulation results reveal that the proposed wireless powered sensor network system outperforms an existing wireless powered sensor network system, by comparison of the numerical simulations of this work to the numerical simulations of the existing WPSN system, regardless of the distances of the sensor nodes to the IPS and the base station. Also, the newly proposed method performs efficiently using parameters that include path-loss exponent impact, performance comparison of systems, convergence based on iteration, comparison based on unequal network distances to the BS, transmission power impact on the attainable throughput and on fraction of energy consumed on information transmissions, and influence of different number of nodes in the network classes.

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Section: Related Literaturementioning

confidence: 99%

Efficient energy resource utilization in a wireless sensor system for monitoring water quality

Olatinwo

Joubert

2019

J Wireless Com Network

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“…Concurrent multiple RF source transmission reported in some literatures (e.g., [20,21]) will increase total interference. A harvest-then-transmit protocol allows a receiver to first harvest energy from the downlink broadcast signals and then use the harvested energy to send independent uplink information to the MBS or SBS based on Time Division Multiple Access (TDMA).…”

Section: Related Workmentioning

confidence: 99%

“…Send ( , , , ) to the MBS (8) While (true) do (9) If receive , from the MBS then (10) If ( , − , \ , − ) > then (11) = ( , − , \ , − ) (12) , = , − ; , = max − , (13) Else if ( , + , \ , + ) > then (14) = ( , + , \ , + ) (15) , = , + ; , = max − , (16) End if (17) Send ( , , , ) to the MBS (18) End if (19) If receive "end" from the MBS then (20) Send ( , , , ) and , to the VAP and return (21) End if (22) End while (23) End if Algorithm 4: ETR-level game.…”

Section: Mbs Etrs Vapsmentioning

confidence: 99%

Enhancing Cellular Coverage Quality by Virtual Access Point and Wireless Power Transfer

Gui

Hui

Xiong

2018

Wireless Communications and Mobile Computing

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The ultradensification deploying for cellular networks is a direct and effective method for the improvement of network capacity. However, the benefit is achieved at the cost of network infrastructure investment and operating overheads, especially when there is big gap between peak-hour Internet traffic and average one. Therefore, we put forward the concept of virtual cellular coverage area, where wireless terminals with high-end configuration are motivated to enhance cellular coverage quality by both providing RF energy compensation and rewarding free traffic access to Internet. This problem is formulated as the Stackelberg game based on three-party circular decision, where a Macro BS (MBS) acts as the leader to offer a charging power to Energy Transferring Relays (ETRs), and the ETRs and their associating Virtual Access Points (VAPs) act as the followers to make their decisions, respectively. According to the feedback from the followers, the leader may readjust its strategy. The circular decision is repeated until the powers converge. Also, the better response algorithm for each game player is proposed to iteratively achieve the Stackelberg-Nash Equilibrium (SNE). Theoretical analysis proves the convergence of the proposed game scheme, and simulation results demonstrate its effectiveness.

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“…Inspired by the benefits of FD and wireless power transfer, some recent papers have investigated the performance of wireless-powered FD point-to-point [25], [26] and relay systems [27], [28]. In [25] a wireless network model with a hybrid FD access-point (AP) that broadcasts wireless energy to a set of downlink users and at the same time receives information from the users in the uplink has been considered.…”

Section: Introductionmentioning

confidence: 99%

Throughput Analysis and Optimization of Wireless-Powered Multiple Antenna Full-Duplex Relay Systems

Mohammadi

Chalise

Suraweera

et al. 2016

IEEE Trans. Commun.

143

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We consider a full-duplex (FD) decode-andforward system in which the time-switching protocol is employed by the multi-antenna relay to receive energy from the source and transmit information to the destination. The instantaneous throughput is maximized by optimizing receive and transmit beamformers at the relay and the time-split parameter. We study both optimum and suboptimum schemes. The reformulated problem in the optimum scheme achieves closed-form solutions in terms of transmit beamformer for some scenarios. In other scenarios, the optimization problem is formulated as a semi-definite relaxation problem and a rank-one optimum solution is always guaranteed. In the suboptimum schemes, the beamformers are obtained using maximum ratio combining, zero-forcing, and maximum ratio transmission. When beamformers have closed-form solutions, the achievable instantaneous and delay-constrained throughput are analytically characterized. Our results reveal that, beamforming increases both the energy harvesting and loop interference suppression capabilities at the FD relay. Moreover, simulation results demonstrate that the choice of the linear processing scheme as well as the time-split plays a critical role in determining the FD gains. Index Terms-Full-duplex, wireless power transfer, decodeand-forward relay, throughput, outage probability.Mohammadali Mohammadi is with the Faculty of Engineering, Shahrekord University, Shahrekord 115, Iran (email: m.a.mohammadi@eng.sku.ac.ir).Batu K. Chalise is with Cleveland State University,

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Preliminary evaluation of simultaneous data and power transmission in the same frequency channel

Cited by 13 publications

References 12 publications

Efficient energy resource utilization in a wireless sensor system for monitoring water quality

Efficient energy resource utilization in a wireless sensor system for monitoring water quality

Enhancing Cellular Coverage Quality by Virtual Access Point and Wireless Power Transfer

Throughput Analysis and Optimization of Wireless-Powered Multiple Antenna Full-Duplex Relay Systems

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