Delay Minimization for Data Transmission in Wireless Power Transfer Systems

Shan, Feng; Luo, Junzhou; Wu, Weiwei; Shen, Xiaojun

doi:10.1109/jsac.2018.2872395

Cited by 22 publications

(6 citation statements)

References 28 publications

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“…The solution to the system consisting of (3b) and (3c) for fixed τ 0 is (7) and (8). By substituting (8) into (7) and solving it for τ 0 , we get τ 0 = β 1 as expected. If τ 0 < β 1 in (7), then η 1 > 1, and this corner point is not feasible any more; otherwise, the optimal solution is found.…”

Section: A Optimal Solutionsupporting

confidence: 54%

“…While increasing EH and IT lengths has a positive effect in the throughput performance, there exists a trade-off between the harvested energy, throughput, and delay [2]. In the context of tradeoff, when to switch between EH and IT [7], the coupling effect between EH of a user and ITs of the previously assigned users [8], the coupling between consecutively scheduled users in a chain model [9], and a half-duplex HTT network [10] are studied for total time minimization. Although the transmit power of a device is restricted by its hardware in practice, aforementioned works allowed the users to transmit at any power.…”

Section: Introductionmentioning

confidence: 99%

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Minimum Length Scheduling for Power Constrained Harvest-then-Transmit Communication Networks

Salik

Onalan

Coleri

2019

2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

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We consider a wireless powered, harvest-thentransmit communication network, which consists of a single antenna, energy and information access point (AP) and multiple, single antenna, batteryless users with energy harvesting capabilities. At the beginning of a time frame, the AP broadcasts energy in the downlink to the users. Then, users transmit their data to the AP in the uplink, using their harvested energy. We formulate the optimization problem with the objective of minimizing the total schedule length, subject to the constraints on the minimum amount of data to be sent to the AP, and unlike previous studies, the maximum transmit power for the information transmission. This problem is nonlinear and non-convex. The solution is based on bi-level optimization, consisting of optimizing the transmit power allocation of the nodes for a given energy harvesting time and searching over harvesting time allocation. We also propose a heuristic algorithm in which we incorporate the optimal solution of a single user network. Simulation results demonstrate that under appropriate network conditions, our proposed algorithms provide close-to-optimal results with a reasonable run time compared to another time minimization algorithm which does not integrate the uplink power constraint.

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Section: A Optimal Solutionsupporting

confidence: 54%

Section: Introductionmentioning

confidence: 99%

Minimum Length Scheduling for Power Constrained Harvest-then-Transmit Communication Networks

Salik

Onalan

Coleri

2019

2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

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show abstract

“…Harvest-then-transmit (HTT) is an often applied protocol in WPCNs, in which, users harvest energy at the beginning of a transmission frame in the downlink (DL), and then, the rest of the frame is allocated for information transmission (IT) in the uplink (UL). Packet scheduling is examined to minimize the delay of a pair of users transmitting packets to each other while switching between EH and IT [2]. Total time is minimized for full-duplex WPCNs for continuous [3] and discrete [4] rate assumptions.…”

Section: Introductionmentioning

confidence: 99%

Minimum Length Scheduling for Multi-Cell Wireless Powered Communication Networks

Salik

Onalan

Coleri

2020

2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications

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We consider a wireless powered, harvestthen-transmit communication network, which consists of multiple, single antenna, energy and information access points (APs) and multiple, single antenna users with energy harvesting capabilities and rechargeable batteries, and allows simultaneous information transmission. We formulate the joint power control and scheduling problem with the objective of minimizing the total schedule length, subject to the constraints on the minimum amount of data to be sent by the users to the APs, and the maximum transmit power for the information transmission. This problem is a nonlinear and non-convex, mixed integer programming problem for which there is no known polynomial time algorithm. The proposed heuristic algorithm is based on, first, finding the solution for a fixed energy harvesting time and then searching for the optimal energy harvesting time that minimizes the total schedule length. For the former, a scheduling problem is formulated as an integer programming problem, which we solve with Branch and Price based methods upon solving the power control problem separately. Simulation results demonstrate that the proposed algorithm outperforms previously proposed time minimization algorithms that do not consider simultaneous transmission scenarios up to 3.5% for larger AP power, 25.4% for tighter maximum transmit power limit, and 6.5% for greater number of users per AP.

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“…In [5], the TCTM for the uplink transmissions with multiple nodes was considered. In [6], the problem of deciding the time of harvesting energy and delivering data with a specific transmission rate for TCTM was studied. A non-orthogonal multiple-access environment was considered with the minimization of the offloading delay in [7].…”

Section: Introductionmentioning

confidence: 99%

“…An online policy for time-invariant channels was provided with a performance bound of the policy in [8]. The authors of [6] provided the online solution running on the wireless power transmission network with separate charging and transmission phases. In this paper, we assume the online scenario and consider the time-varying channels as well as the randomness of the energy arrivals.…”

Section: Introductionmentioning

confidence: 99%

RL-Based Transmission Completion Time Minimization with Energy Harvesting for Time-Varying Channels

Kim

Shin

Yang

et al. 2020

2020 IEEE International Conference on Communications Workshops (ICC Workshops)

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In this paper, we consider the problem of minimizing the transmission completion time in energy harvesting devices on time-varying channels with a reinforcement learning approach. Because of the randomness of energy arrival and fading channel in wireless communications, a reinforcement learning algorithm often converges to suboptimal points with a degraded performance. To solve this problem, we first prove that the expected discounted reward sum in the environment is an increasing function of negative time, amount of data sent, channel gain, harvested energy, and remaining battery. We leverage this proof to construct a partially monotonic network that efficiently approximates the optimal action-value function for learning. Experimental results show that our approach with the exploitation of the partial monotonicity of the desired function achieves better performance than existing power allocation policies. Further experiments show that the performance of our learning-based approach is close to the theoretical upper bound over rapidly time-varying channels. Index Terms-energy harvesting communications, transmission completion time minimization, reinforcement learning.

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Delay Minimization for Data Transmission in Wireless Power Transfer Systems

Cited by 22 publications

References 28 publications

Minimum Length Scheduling for Power Constrained Harvest-then-Transmit Communication Networks

Minimum Length Scheduling for Power Constrained Harvest-then-Transmit Communication Networks

Minimum Length Scheduling for Multi-Cell Wireless Powered Communication Networks

RL-Based Transmission Completion Time Minimization with Energy Harvesting for Time-Varying Channels

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