Transmit power allocation of energy transmitters for throughput maximisation in wireless powered communication networks

Yu, Zhanwei; Chi, Kaikai; Zheng, Kechen; Li, Yanjun; Cheng, Zhen

doi:10.1049/iet-com.2018.6045

Cited by 8 publications

(8 citation statements)

References 40 publications

(63 reference statements)

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“…We introduce a BP Based Heuristic Algorithm for EH Networks (BP-EH) to solve the intractable scheduling problem given in Eq. (7). BP-EH uses CGM to solve the LP relaxation of this IP problem at each node of the Branch and Bound tree.…”

Section: A Solutionmentioning

confidence: 99%

“…Deploying multiple APs and having a multi-cell like structure is, therefore, inevitable. Optimal transmit power allocation subject to a power budget for a multiple user and multiple RF energy transmitter network working with orthogonal frequency division multiplexing protocol is studied for the sum and common throughput maximization [7]. Sum-throughput is maximized by jointly optimizing intra-cell time allocation and inter-cell load balancing for a multi-cell WPCN which adopts a fixed inter-cell interference at APs [8].…”

Section: Introductionmentioning

confidence: 99%

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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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Section: A Solutionmentioning

confidence: 99%

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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“…However, to enhance the performance of systems, the received signals as well as channel state information can be shared among H‐sinks. In [22], we maximised sum‐throughput and common‐throughput by optimising the transmit power allocation of ETs subject to a total power budget. Liang et al .…”

Section: Related Workmentioning

confidence: 99%

“…One direction is about the simultaneous wireless information and power transfer (SWIPT), which conducts wireless energy transfer (WET) and wireless information transmission (WIT) simultaneously in the same signal [9–12]. The other direction aims at a new type of wireless network termed wireless powered communication network (WPCN), where the WET and WIT are conducted separately [13–29], i.e. the nodes do not retrieve the information and obtain the energy from the same RF signal.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, it is necessary to investigate the design of large‐scale WPCNs. Up to now, very few research works have been carried out on the large‐scale WPCNs, which mainly focus on the nodes' throughput maximisation by optimising the transmit power of nodes or time allocation [20–23] and the placement of ETs and sinks to minimise the deployment expenditure [24].…”

Section: Introductionmentioning

confidence: 99%

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Energy provision minimisation in large‐scale wireless powered communication networks with throughput demand

Chi

et al. 2020

IET Communications

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A novel model to eliminate the doubly near‐far problem in wireless powered communication network

et al. 2021

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In this paper, the newly emerging wireless powered communication network is studied. In doing so, the performance of the global controller (GC) is evaluated, which coordinates the wireless energy transmissions between two sensor nodes. Both the sensors have the same harvested energy for uplink (UL) transmission of information through time‐division‐multiple‐access. Afterwards, the information transmission time is optimised to maximise the common throughput of both the sensors with a total time constraint based on the user's UL channels along with the same harvested energy value. Further, due to the “doubly near‐far” phenomenon, a remote sensor from the GC, which has poor channel conditions than a nearer user, has to transmit more time in the UL for maximum common throughput. To overcome this problem, the energy exchange (EEx) model is proposed where both sensors first harvest the same amount of wireless energy and then exchange energy to nullify the different channel conditions between sensors and GC to send their independent information in the UL. Simulation results demonstrate the EEx Model's effectiveness over without energy exchange (WEEx) model in eliminating the doubly near‐far problem in wireless powered communication network but at the cost of maximum sum‐throughput. The maximum sum‐throughput of the proposed EEx model is 35% lower than the WEEx model. However, the average BER in the proposed EEx model is 74.6% lower than the WEEx model, which increases the reliability of the model.

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Transmit power allocation of energy transmitters for throughput maximisation in wireless powered communication networks

Cited by 8 publications

References 40 publications

Minimum Length Scheduling for Multi-Cell Wireless Powered Communication Networks

Minimum Length Scheduling for Multi-Cell Wireless Powered Communication Networks

Energy provision minimisation in large‐scale wireless powered communication networks with throughput demand

A novel model to eliminate the doubly near‐far problem in wireless powered communication network

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