Noncoherent Detection for Ambient Backscatter Communications Over OFDM Signals

Darsena, Donatella

doi:10.1109/access.2019.2950601

Cited by 37 publications

(23 citation statements)

References 39 publications

(67 reference statements)

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“…In addition, the system performance improves with an increasing number of antennas on the UR and an increasing number of IDs. In future work, we will consider issues related to sensitive and nonlinear EH models [ 70 , 71 ], joint maximum likelihood (ML) decoding [ 72 , 73 ] and imperfect SIC [ 74 , 75 ] for NOMA in IoT systems, including consideration of multihop URs to improve the OP and throughput performance for IoT applications.…”

Section: Discussionmentioning

confidence: 99%

System Performance Analysis for an Energy Harvesting IoT System Using a DF/AF UAV-Enabled Relay with Downlink NOMA under Nakagami-m Fading

Nguyen

So-In

et al. 2021

Sensors

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This paper investigates system performance in the Internet of Things (IoT) with an energy harvesting (EH) unmanned aerial vehicle (UAV)-enabled relay under Nakagami-m fading, where the time switching (TS) and adaptive power splitting (APS) protocols are applied for the UAV. Our proposed system model consists of a base station (BS), two IoT device (ID) clusters (i.e., a far cluster and a near cluster), and a multiantenna UAV-enabled relay (UR). We adopt a UR-aided TS and APS (U-TSAPS) protocol, in which the UR can dynamically optimize the respective power splitting ratio (PSR) according to the channel conditions. To improve the throughput, the nonorthogonal multiple access (NOMA) technique is applied in the transmission of both hops (i.e., from the BS to the UR and from the UR to the ID clusters). The U-TSAPS protocol is divided into two phases. In the first phase, the BS transmits a signal to the UR. The UR then splits the received signal into two streams for information processing and EH using the APS scheme. In the second phase, the selected antenna of the UR forwards the received signal to the best far ID (BFID) in the far cluster and the best near ID (BNID) in the near cluster using the decode-and-forward (DF) or amplify-and-forward (AF) NOMA scheme. We derive closed-form expressions for the outage probabilities (OPs) at the BFID and BNID with the APS ratio under imperfect channel state information (ICSI) to evaluate the system performance. Based on these derivations, the throughputs of the considered system are also evaluated. Moreover, we propose an algorithm for determining the nearly optimal EH time for the system to minimize the OP. In addition, Monte Carlo simulation results are presented to confirm the accuracy of our analysis based on simulations of the system performance under various system parameters, such as the EH time, the height and position of the UR, the number of UR antennas, and the number of IDs in each cluster.

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Section: Discussionmentioning

confidence: 99%

System Performance Analysis for an Energy Harvesting IoT System Using a DF/AF UAV-Enabled Relay with Downlink NOMA under Nakagami-m Fading

Nguyen

So-In

et al. 2021

Sensors

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“…As mentioned earlier, the relay needs to collect energy from the received signals, which is then used to forward the information to the destination. For practical energy harvest-ing circuits, the relationship between harvested power and input RF power is non-linear; moreover, for input power below harvesting circuit power sensitivity threshold, the harvested power is zero [25]- [29]. However, in this paper, similar to existing works such as [10] and [29], we assume a linear relationship for simplicity between the harvested power and the input power.…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

“…For practical energy harvest-ing circuits, the relationship between harvested power and input RF power is non-linear; moreover, for input power below harvesting circuit power sensitivity threshold, the harvested power is zero [25]- [29]. However, in this paper, similar to existing works such as [10] and [29], we assume a linear relationship for simplicity between the harvested power and the input power. Let η denote the power conversion efficiency, and then the harvested power at the relay is [30]…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

Joint Precoder Design for SWIPT-Enabled MIMO Relay Networks With Finite-Alphabet Inputs

Chen

Zhu

2020

IEEE Access

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In this paper, the problem of mutual information maximization in a two-hop multiple-input multiple-output (MIMO) relay network with simultaneous wireless information and power transfer (SWIPT) is investigated, where the relay node, without constant power supply, harvests the energy for information forwarding. The goal is to maximize the mutual information by using the joint design of source and relay precoders, which is formulated as an optimization problem under the constraints of transmit power and harvested energy. Two scenarios with practical energy harvesting schemes employed at the relay, i.e., power splitting (PS) and time switching (TS) schemes, are considered. Although the formulated optimization problems in the two scenarios are both nondeterministic polynomial-time (NP)-hard, by exploiting the structure of the optimization problems and analyzing the characteristics of precoders, we develop near optimal joint source and relay precoding algorithms for them. Additionally, we analyze the feasible regions of PS and TS ratios, respectively, and propose a backtracking line search based method to find near optimal PS and TS ratios. The main contributions of this paper are as follows: 1) Unlike existing works based on the assumption of ideal Gaussian signals, this paper supposes the inputs to the network are finite-alphabet signals, which is a more practical scenario. 2) The high complexity of mutual information with finitealphabet signals leads to an intractable optimization problem; however, an efficient solving framework based on semidefinite relaxation (SDR) and Karush-Kuhn-Tucker (KKT) theorem is proposed. Finally, simulation results verify the efficacy of the proposed joint precoding designs. INDEX TERMS Finite-alphabet inputs, joint precoding design, simultaneous wireless information and power transfer (SWIPT), multiple-input multiple-output (MIMO), relay network.

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“…1 It is shown [31]- [34] that in practice the energy harvesting efficiency is a function of input power, and for input power below the harvesting circuit power sensitivity threshold, the harvested power can be zero. In this paper, similar to [1], [22], [35], we assume a simplified linear energy harvesting model with a constant η. Note that the algorithms proposed in this paper can be applied to any given η.…”

Section: System Modelmentioning

confidence: 99%

Transceiver Design for SWIPT MIMO Relay Systems With Hybridized Power-Time Splitting-Based Relaying Protocol

et al. 2020

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In this paper, we investigate a dual-hop simultaneous wireless information and power transfer (SWIPT) based amplifying-and-forward (AF) multiple-input multiple-output (MIMO) relay communication system where the relay node harvests energy based on radio frequency (RF) signals transmitted from the source node through the hybridized power-time splitting-based relaying (HPTSR) protocol to forward information to the destination node. The joint optimization of the time-switching (TS) factor, source and relay precoding matrices, and the power-splitting (PS) ratio vector is proposed to maximize the mutual information (MI) between the source and destination nodes. We derive the optimal structure for the source and relay precoding matrices to simplify the transceiver optimization problem. Two algorithms based on the upper bound and lower bound of the objective function are proposed to efficiently solve the optimization problem with low computational complexity. Numerical examples demonstrate that the proposed algorithms provide a better MI performance compared with TS based and PS based energy harvesting (EH) relay systems. INDEX TERMS Amplify-and-forward (AF) relay, energy harvesting, hybridized power-time switching relaying (HPTSR), multiple-input multiple-output (MIMO) relay, simultaneous wireless information and power transfer (SWIPT)

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Noncoherent Detection for Ambient Backscatter Communications Over OFDM Signals

Cited by 37 publications

References 39 publications

System Performance Analysis for an Energy Harvesting IoT System Using a DF/AF UAV-Enabled Relay with Downlink NOMA under Nakagami-m Fading

System Performance Analysis for an Energy Harvesting IoT System Using a DF/AF UAV-Enabled Relay with Downlink NOMA under Nakagami-m Fading

Joint Precoder Design for SWIPT-Enabled MIMO Relay Networks With Finite-Alphabet Inputs

Transceiver Design for SWIPT MIMO Relay Systems With Hybridized Power-Time Splitting-Based Relaying Protocol

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