User cooperation for enhanced throughput fairness in wireless powered communication networks

Zhong, Mingquan; Bi, Suzhi; Lin, Xiaohui

doi:10.1109/ict.2016.7500446

Cited by 14 publications

(20 citation statements)

References 24 publications

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“…Remark 1: Given a fixed sampling rate R s , a larger R b leads to a smaller N , thus higher BER in (10). Consider an extreme case that R b → ∞, we have N → 0 and → 0.5.…”

Section: B Phase Ii: Backscatter Information Transmissionmentioning

confidence: 99%

“…For example, a two-user cooperation WPCN was presented in [9], where the near user with more abundant energy helps relay the far user's information to the HAP. Besides, [10] allowed two cooperating users to form a distributed virtual antenna array and transmit jointly to the information access point. [11] considered optimal transceiver design and relay selection for simultaneous wireless information and power transfer (SWIPT) in a two-hop cooperative network with energy harvesting constraints at the receiver.…”

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confidence: 99%

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Reusing wireless power transfer for backscatter-assisted relaying in WPCNs

Zheng

Lin

et al. 2020

Computer Networks

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User cooperation is an effective technique to tackle the severe near-far user unfairness problem in wireless powered communication networks (WPCNs). In this paper, we consider a WPCN where two collaborating wireless devices (WDs) first harvest wireless energy from a hybrid access point (HAP) and then transmit their information to the HAP. The WD with the stronger WD-to-HAP channel helps relay the message of the other weaker user. In particular, we exploit the use of ambient backscatter communication during the wireless energy transfer phase, where the weaker user backscatters the received energy signal to transmit its information to the relay user in a passive manner. By doing so, the relay user can reuse the energy signal for simultaneous energy harvesting and information decoding (e.g., using an energy detector). Compared to active information transmission in conventional WPCNs, the proposed method effectively saves the energy and time consumed by the weaker user on information transmission during cooperation. With the proposed backscatter-assisted relaying scheme, we jointly optimize the time and power allocations on wireless energy and information transmissions to maximize the common throughput. Specifically, we derive the semi-closed-form expressions of the optimal solution and propose a low-complexity optimal algorithm to solve the joint optimization problem. By comparing with some representative benchmark methods, we simulate under extensive network setups and demonstrate that the proposed cooperation method effectively improves the throughput performance in WPCNs.Index Terms-Wireless powered communication networks, ambient backscatter, wireless resource allocation. I. INTRODUCTIONThe limited battery lifetime is a crucial factor affecting the performance of wireless communications. Wireless devices (WDs) need to replace/recharge battery when the energy is exhausted, which leads to frequent interruption to normal communication process and severe degradation of the quality of communication service. Alternatively, thanks to the recent advance of radio frequency (RF) based wireless energy transfer (WET) technology, the WDs can continuously harvest energy without interrupting their normal operation. The newly emerged wireless powered communication network (WPCN) integrates WET into conventional wireless communication system [1]- [7], which has shown its advantages in lowering the operating cost and improving the robustness of communication service in low power applications, such as sensing devices in internet of things (IoT) networks. There have been extensive studies on the design and optimization in WPCN. For instance, [3] presented a harvest-then-transmit strategy in WPCN, where This work has been presented WD 1 WD 2 HAP Energy transfer Backscatter communication Active information transmission WD2 HAP Relay WD1 WD1 HAP,WD2 CE t 0 t 1 t 2 t 3 t 41 t 42 WD2 HAP WD1,WD2 WD1 WD2 Backscatter HAP WD1,WD2 h 2 h 1 h 12 WET WITFig. 1. The network structure and transmission strategy of the proposed cooperation scheme....

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“…Remark 1: Given a fixed sampling rate R s , a larger R b leads to a smaller N , thus higher BER in (10). Consider an extreme case that R b → ∞, we have N → 0 and → 0.5.…”

Section: B Phase Ii: Backscatter Information Transmissionmentioning

confidence: 99%

mentioning

confidence: 99%

Reusing wireless power transfer for backscatter-assisted relaying in WPCNs

Zheng

Lin

et al. 2020

Computer Networks

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“…However, such design may lead to a doubly near-far unfairness problem that WDs far-away from HAP achieve low throughput because they harvest less energy and consume more to transmit information. To improve throughput fairness, different user cooperation methods are proposed [7,8,10,11]. For instance, [10] proposes a two-user cooperation, where the nearby user acts as a relay to forward the transmission of far-away user to the HAP.…”

Section: Introductionmentioning

confidence: 99%

“…Alternatively, dedicated wireless power transfer (WPT) technology can provide continuous and sustainable microwave energy over air to the WDs. The use of WPT can reduce the battery replacement/recharging cost, and also improve the communication quality by reducing their energy outages [1][2][3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

“…For instance, [10] proposes a two-user cooperation, where the nearby user acts as a relay to forward the transmission of far-away user to the HAP. [7] and [8] allow the two users to exchange their information and form a distributed antenna system to transmit their information jointly. [11] further considers a general multiple user scenario, where a far-away user's transmission is assisted by multiple WDs.…”

Section: Introductionmentioning

confidence: 99%

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Multi-antenna Enabled Cluster-based Cooperation in Wireless Powered Communication Network

Yuan¹,

Bi²,

Zhong³

et al. 2017

Proceedings of the International Conference on Computer Networks and Communication Technology (CNCT 2016)

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Abstract. In this paper, we consider a wireless powered communication network (WPCN) consisting of a multi-antenna hybrid access point (HAP) that transfers wireless energy in the downlink to wireless devices (WDs), and receives the information transmissions from the WDs in the uplink. To enhance the throughput performance of some far-away WDs, we allow one of the WDs acting as the cluster head that helps relay the information transmitted by the other cluster members. This cluster-based cooperation can effectively enhance the throughput performance of some far-away WDs. However, its performance is also limited by the high energy consumption of the cluster head. To tackle this energy imbalance issue, we propose in this paper to exploit the capability of multi-antenna energy beamforming technique at the HAP, which focuses more transferred power to the cluster head to balance the energy consumption of all the WDs. Specifically, we derive the throughput performance of the proposed scheme and demonstrate through simulations that the proposed multi-antenna enabled cluster-based cooperation can effectively improve the throughput fairness performance of the WPCNs.

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Reusing Wireless Power Transfer for Backscatter-Assisted Cooperation in WPCN

Lin

et al. 2018

Machine Learning and Intelligent Communications

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This paper studies a novel user cooperation method in a wireless powered communication network (WPCN), where a pair of closely located devices first harvest wireless energy from an energy node (EN) and then use the harvested energy to transmit information to an access point (AP). In particular, we consider the two energy-harvesting users exchanging their messages and then transmitting cooperatively to the AP using space-time block codes. Interestingly, we exploit the short distance between the two users and allow the information exchange to be achieved by energy-conserving backscatter technique. Meanwhile the considered backscatter-assisted method can effectively reuse wireless power transfer for simultaneous information exchange during the energy harvesting phase. Specifically, we maximize the common throughput through optimizing the time allocation on energy and information transmission. Simulation results show that the proposed user cooperation scheme can effectively improve the throughput fairness compared to some representative benchmark methods.

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User cooperation for enhanced throughput fairness in wireless powered communication networks

Cited by 14 publications

References 24 publications

Reusing wireless power transfer for backscatter-assisted relaying in WPCNs

Reusing wireless power transfer for backscatter-assisted relaying in WPCNs

Multi-antenna Enabled Cluster-based Cooperation in Wireless Powered Communication Network

Reusing Wireless Power Transfer for Backscatter-Assisted Cooperation in WPCN

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