The Capacity of Energy-Constrained Mobile Networks with Wireless Power Transfer

Ko, Seung-Woo; Yu, Seung Min; Kim, Seong-Lyun

doi:10.1109/lcomm.2013.020413.122729

Cited by 16 publications

(27 citation statements)

References 9 publications

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“…Some work [20][21][22] considered the use of one or multiple mobile charging vehicles to wirelessly provide energy to the nodes in the WPCNs. For example, He et al 8 studied how to deploy the minimal number of static energy transmitters in a network to make the nodes harvest sufficient energy.…”

Section: Related Workmentioning

confidence: 99%

“…For example, He et al 8 studied how to deploy the minimal number of static energy transmitters in a network to make the nodes harvest sufficient energy. Some work [20][21][22] considered the use of one or multiple mobile charging vehicles to wirelessly provide energy to the nodes in the WPCNs. Lee et al 23 studied the wirelessly powered cognitive radio network.…”

Section: Related Workmentioning

confidence: 99%

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Throughput maximization in wireless powered communication networks with minimum node throughput requirement

Chi

Wei

et al. 2018

Int J Communication

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This paper considers wireless powered communication network consisting of one hybrid access point and a set of one-hop nodes. Hybrid access point conducts wireless energy transfer (WET) in the downlink and nodes conduct wireless information transmissions (WITs) in the uplink based on the time division multiple access (TDMA) mode. Specifically, for the scenario where each node has its own minimum throughput requirement and different nodes' data have different levels of utility, we aim to achieve the minimum node throughput constrained weighted sum throughput maximization (MT-WSTM) by jointly optimizing the time allocations of the WET and the WITs. First, we formulate the MT-WSTM problem as a nonlinear optimization problem and further transform it into a more tractable form. Then, we prove the MT-WSTM problem is convex and develop an efficient algorithm utilizing the dual decomposition technique to obtain the optimal solution of this problem. Compared with two schemes which use the optimal WET time and allocate the surplus WIT time evenly to all nodes and solely to the best node, respectively, the weighted sum throughput of the MT-WSTM scheme is obviously larger in both homogeneous and heterogeneous scenarios. KEYWORDS convex optimization, minimum throughput requirement, time allocation, wireless powered communication network Int J Commun Syst. 2018;31:e3775.wileyonlinelibrary.com/journal/dac

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Throughput maximization in wireless powered communication networks with minimum node throughput requirement

Chi

Wei

et al. 2018

Int J Communication

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“…Emerging wearable and internet-of-things devices however may increase walking user traffic, leading to a weakening of the proposed algorithm's performance. Moreover, wirelessly powered [14] devices in the future will make walking users free from battery depletion, and hence consume more traffic, which may further degrade the proposed association. It is therefore necessary to keep an eye on the traffic pattern over velocity as in our field experiments for long-term period.…”

Section: Considerations and Future Challengesmentioning

confidence: 99%

Traffic convexity aware cellular networks: a vehicular heavy user perspective

Shim

Park

et al. 2016

IEEE Wireless Commun.

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“…The works in [6] and [12] study WPCN in a random-access-network and cellular network, respectively. Reference [14] examines a new type of WPCN, where wireless charging vehicles furnish wireless power to mobile nodes. The works in [16] and [17] manifest the user cooperation in WPCN, where the user nearer to HAP relays the data of the distant user to maximize the weighted sum-rate.…”

Section: Introductionmentioning

confidence: 99%

Resource Allocation and Fairness in Wireless Powered Cooperative Cognitive Radio Networks

Kalamkar

Jeyaraj

Banerjee

et al. 2016

IEEE Trans. Commun.

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Abstract-We integrate a wireless powered communication network with a cooperative cognitive radio network, where multiple secondary users (SUs) powered wirelessly by a hybrid access point (HAP) help a primary user relay the data. As a reward for the cooperation, the secondary network gains the spectrum access where SUs transmit to HAP using time division multiple access. To maximize the sum-throughput of SUs, we present a secondary sumthroughput optimal resource allocation (STORA) scheme. Under the constraint of meeting target primary rate, the STORA scheme chooses the optimal set of relaying SUs and jointly performs the time and energy allocation for SUs. Specifically, by exploiting the structure of the optimal solution, we find the order in which SUs are prioritized to relay primary data. Since the STORA scheme focuses on the sum-throughput, it becomes inconsiderate towards individual SU throughput, resulting in low fairness. To enhance fairness, we investigate three resource allocation schemes, which are (i) equal time allocation, (ii) minimum throughput maximization, and (iii) proportional time allocation. Simulation results reveal the trade-off between sum-throughput and fairness. The minimum throughput maximization scheme is the fairest one as each SU gets the same throughput, but yields the least SU sum-throughput.

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The Capacity of Energy-Constrained Mobile Networks with Wireless Power Transfer

Cited by 16 publications

References 9 publications

Throughput maximization in wireless powered communication networks with minimum node throughput requirement

Throughput maximization in wireless powered communication networks with minimum node throughput requirement

Traffic convexity aware cellular networks: a vehicular heavy user perspective

Resource Allocation and Fairness in Wireless Powered Cooperative Cognitive Radio Networks

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