Wireless information and power transfer in two-way amplify-and-forward relaying channels

Chen, Zhiyong; Xia, Bin; Liu, Hui

doi:10.1109/globalsip.2014.7032100

Cited by 156 publications

(153 citation statements)

References 16 publications

(26 reference statements)

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“…These splitting methods are investigated in cooperative networks with one-way relaying (OWR) protocols [11,[16][17][18][19]24,26] and with two-way relaying (TWR) protocols [12,13,15,23,25]. Here, amplify-and-forward (AF) relays are adopted in [11][12][13]15,24] for a lower complexity with the simple relay operation amplifying the received signal without information decoding, while decode-and-forward (DF) relays are adopted in [16][17][18][19]23,25] for a better performance with the complicated relay operation regenerating the relay signal after decoding the received signal.…”

Section: Related Workmentioning

confidence: 99%

“…For the TWR protocol, the SWIPT methods are combined with the spectrally efficient two-phase protocols composed of multiple access (MAC) and broadcasting (BC) phases [12,13,23,25]; an exception is observed in [15], which incorporates the PS-SWIPT and the TS-SWIPT into the four-phase TWR for an easier modification in spite of a large loss in the spectral efficiency. As in the OWR protocol, the outage probability and ergodic capacity are analyzed for the AF-TWR protocol employing the PS-SWIPT [12].…”

Section: Related Workmentioning

confidence: 99%

“…Energy harvesting relays are as low in complexity as communicating devices and harvest the energy in helping the data exchange of the devices in general [11][12][13][14][15][16][17][18][19][23][24][25][26]. On the other hand, energy transmission relays are as highly complex as base stations so that the relays transfer the power and information to the communicating devices [20][21][22]; the relays even employ massive antennas to leverage the efficiency in the power and information transfer at a high cost in implementation [27,28].…”

Section: Introductionmentioning

confidence: 99%

“…In particular, various relaying protocols have been rebuilt to support energy harvesting devices in cooperative networks [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26], where relays can be categorized into either energy harvesting nodes or energy transmission nodes. Energy harvesting relays are as low in complexity as communicating devices and harvest the energy in helping the data exchange of the devices in general [11][12][13][14][15][16][17][18][19][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

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Rate Optimization of Two-Way Relaying with Wireless Information and Power Transfer

2017

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Abstract:We consider the simultaneous wireless information and power transfer in two-phase decode-and-forward two-way relaying networks, where a relay harvests the energy from the signal to be relayed through either power splitting or time splitting. Here, we formulate the resource allocation problems optimizing the time-phase and signal splitting ratios to maximize the sum rate of the two communicating devices. The joint optimization problems are shown to be convex for both the power splitting and time splitting approaches after some transformation if required to be solvable with an existing solver. To lower the computational complexity, we also present the suboptimal methods optimizing the splitting ratio for the fixed time-phase and derive a closed-form solution for the suboptimal method based on the power splitting. The results demonstrate that the power splitting approaches outperform their time splitting counterparts and the suboptimal power splitting approach provides a performance close to the optimal one while reducing the complexity significantly.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Rate Optimization of Two-Way Relaying with Wireless Information and Power Transfer

2017

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“…2) Outage Probability: Using Lemma 4, following (15), the outage probability of the SFS policy for MABC is given by…”

Section: ) End-to-end Snrmentioning

confidence: 99%

Two‐way relay networks with wireless power transfer: design and performance analysis

et al. 2016

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This paper considers amplify-and-forward (AF) two-way relay networks, where an energy constrained relay node harvests energy from the received radio-frequency signal. Based on time switching (TS) receiver, we separate the energy harvesting (EH) phase and the information processing (IP) phase in time. In the EH phase, three practical wireless power transfer policies are proposed: 1) dual-source (DS) power transfer, where both sources transfer power to the relay; 2) single-fixed-source (SFS) power transfer, where a fixed source transfers power to the relay; and 3) single-best-source (SBS) power transfer, where a source with strongest channel transfers power to the relay. In the IP phase, a new comparative framework of the proposed wireless power transfer policies is presented in two bi-directional relaying protocols, known as multiple access broadcast (MABC) and time division broadcast (TDBC).To characterize the performance of the proposed policies, new analytical expressions are derived for the outage probability, the throughput, and the system energy efficiency. Numerical results corroborate our analysis and show: 1) the DS policy performs the best in terms of both outage probability and throughput among the proposed policies, 2) the TDBC protocol achieves lower outage probability than the MABC protocol, and 3) there exits an optimal value of energy harvesting time fraction to maximize the throughput. A pivotal conclusion is reached that the SBS policy offers an optimal tradeoff between performance and power consumption since SBS consumes the least power but offers a comparable performance to that of DS. Index TermsMultiple access broadcast, time division broadcast, two-way relay networks, wireless power transfer.

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Distributed simultaneous wireless information and power transfer in multiuser amplify‐and‐forward ad hoc wireless networks

Baidas

Afghah

2017

Int J Communication

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SummaryThis paper studies the problem of stable node matching for distributed simultaneous wireless information and power transfer in multiuser amplifyand-forward ad hoc wireless networks. Particularly, each source node aims to be paired with another node that takes the role of an amplify-and-forward relay to forward its signal to the destination, such that the achievable rate is improved, in return of some payment made to the relaying node. Each relaying node splits its received signal from its respective source into two parts: one for information processing and the other for energy harvesting. In turn, a matching-theoretic solution based on the one-to-one stable marriage matching game is studied, and a distributed polynomial-time complexity algorithm is proposed to pair each source node with its best potential relaying node based on the power-splitting ratios, such that their utilities or payments are maximized while achieving network stability. For comparison purposes, an algorithm to enumerate all possible stable matchings is also devised to study the impact of different matchings on the source and relay utilities. Simulation results are presented to validate the proposed matching algorithm and illustrate that it yields sum-utility and sum-payment that are closely comparable to those of centralized power allocation and node pairing, with the added merits of low complexity, truth telling, and network stability.

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Wireless information and power transfer in two-way amplify-and-forward relaying channels

Cited by 156 publications

References 16 publications

Rate Optimization of Two-Way Relaying with Wireless Information and Power Transfer

Rate Optimization of Two-Way Relaying with Wireless Information and Power Transfer

Two‐way relay networks with wireless power transfer: design and performance analysis

Distributed simultaneous wireless information and power transfer in multiuser amplify‐and‐forward ad hoc wireless networks

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