Simultaneous Wireless Transfer of Power and Information in a Decode-and-Forward Two-Way Relaying Network

Phu, Thinh; Song, Iickho; Kim, Yun Hee

doi:10.1109/twc.2017.2648801

Cited by 86 publications

(66 citation statements)

References 40 publications

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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%

“…A source node selection method is devised for wireless power transfer in the AF-TWR protocol employing the TS-SWIPT [13]. In addition, the outage probability of the DF-TWR protocol with the PS-SWIPT and the TS-SWIPT is studied without resource allocation in cognitive radio environments [23] and with outage-optimal resource allocation in non-cognitive radio environment [25]. Some studies on the TWR with energy harvesting nodes are also observed in [14,20,22], but they are irrelevant since the SWIPT is not considered due to a different energy harvesting scenario [14] and an infrastructure relay transmitting the power is considered for the AF-TWR in [20,22].…”

Section: Related Workmentioning

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%

“…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%

See 4 more Smart Citations

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: 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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Performance analysis of two‐way wireless‐powered Amplify‐and‐Forward relaying in the presence of co‐channel interference

Soleimani‐Nasab

Javadi

2020

Int J Communication

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SummaryIn this paper, we investigate the performance assessment of a bidirectional relaying system using energy harvesting techniques. We assume independent and nonidentically distributed (i.n.i.d.) Nakagami‐m fading channels where the amplify‐and‐forward relay is subject to co‐channel interference (CCI) due to transmissions of other transmitters. Two different scenarios, namely, scenario I and scenario II are evaluated. In scenario I, both end‐sources provide the required energy for the relay, whereas the relay also harvests energy from the co‐channel interferes. Then, in the first phase of cooperation, both end‐sources send the information to the relay, and after amplifying the received signal, relay transfers information to the appropriate destination in the second time‐slot. In the scenario II, both end‐sources harvest energy from the relay. After that, the information cooperative transmission is done similar to the first scenario. For both considered scenarios, tight closed‐form expressions of outage probability, symbol error probability, ergodic capacity, and throughput are obtained at arbitrary signal‐to‐noise‐ratios (SNRs). To get more insights, simplified high SNR results for both scenarios are also deduced where the diversity orders are obtained. Monte Carlo simulation results are presented to validate the correctness of our proposed analysis. Our results explicitly demonstrate that the first scenario has a better performance than the second one in the medium and high SNR region, whereas the second scenario outperforms the first one in the low SNR regime.

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Performance evaluation of multiuser Internet of Things wireless‐powered relaying networks with transceiver hardware imperfections over Nakagami‐m fading channels

Kharwar

Yadav

Purohit

2022

Int J Communication

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Summary We investigate the performance of multiuser Internet of Things (IoT) relay networks in the presence of transceiver hardware impairments. In particular, K IoT users communicate with a destination via a simultaneous wireless information and power transfer (SWIPT) amplify‐and‐forward relay. We exploit both time‐switching (TS) and power‐splitting (PS) protocols at the SWIPT‐aided relay terminal. Specifically, we derive the exact outage probability (OP) expressions for both TS and PS schemes under transceiver hardware imperfections over Nakagami‐m fading channels. In addition, we derive the asymptotic OP expressions for both TS and PS schemes in the high signal‐to‐noise ratio regime. From which, the diversity order of KmSR can be achieved, where mSR denotes the fading severity parameter for the channel between K IoT users and relay. Furthermore, we present a tight upper bound for the ergodic capacity (EC) under both TS and PS schemes with transceiver hardware impairments over Nakagami‐m fading channels. Moreover, our results demonstrate the impact of number of IoT users, fading severity parameters, TS factor, PS factor, and energy conversion efficiency, on the system performance. We also validate our analytical findings via numerical and simulation results.

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Simultaneous Wireless Transfer of Power and Information in a Decode-and-Forward Two-Way Relaying Network

Cited by 86 publications

References 40 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

Performance analysis of two‐way wireless‐powered Amplify‐and‐Forward relaying in the presence of co‐channel interference

Performance evaluation of multiuser Internet of Things wireless‐powered relaying networks with transceiver hardware imperfections over Nakagami‐m fading channels

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