Matched-Filter-Based Backscatter Communication for IoT Devices Over Ambient OFDM Carrier

Abstract

In this paper, we study backscatter communication (BC) for power-limited devices that are connected to a network for the Internet of Things (IoT), where joint estimation and detection is carried out at a receiver to detect signals from a backscatter device (BD) with ambient orthogonal frequency division multiplexing (OFDM) carrier. In conventional BC, in order to avoid the difficulty of the carrier estimation, the energy detector is usually considered at a receiver at the cost of poor performance. To improve the performance, in this paper, we consider a novel approach that allows the carrier estimation at the receiver via joint estimation and detection. In particular, in the proposed approach, the matched-filtering at the BD (for the transmitter filter) is employed to impose a certain property that allows efficient and reliable carrier estimation via joint estimation and detection. Through the performance analysis and simulation results, we show that the matched-filtering at the BD in the proposed approach can improve the performance.

Backscatter Wireless Communications and Sensing in Green Internet of Things

“…In order to address this issue, coherent and non-coherent techniques have been developed. Authors in [128] proposed a receiver design that involves replacing simple envelope detectors with matched filters. The authors also proposed a coherent detection of BackCom signals with OFDM carrier at the receiver.…”

“…The authors proposed a technique that mines the energy levels of received signals and then uses the result of energy mining to determine the information sent (tag symbols). Further exploiting clustering at the receiver, authors in [130] EE estimation of UAV Use DRL for EE estimation of Achieved near optimal trajectory trajectory estimation performance [121] MAV state estimation in long Use RF tags attached to the Achieved high accuracy (34 cm and 4.99 0 ) range trajectory landing gears of MAV in localization and orientation estimation [122] Single-UAV assisted BackCom Design an optimal trajectory for UAV Achieved optimal trajectory and data collection and enable uplink multiple access high decoding of data at the UAV [123] Multiple-UAV assisted BackCom Design techniques for minimum Achieved shortest operation time when data collection operating time of UAV using DRL maximum (four) UAVs were deployed [124] UAV assisted throughput Design an operating protocol Achieved high throughput gain enhancement for UAV as a relay [125] D2D-relaying assisted throughput Design an optimal policy for setting Improved BackCom network improvement operating condition for relay nodes throughput [126] QoS guaranty in UAV-assisted Design techniques to ensure UAV relaying Achieved higher arrival rate from BackCom based IoT through BackCom and multiple access IoT nodes and higher number of to guaranty QoS connected IoT nodes [127] IRS assisted BackCom Jointly optimize phase shifts at Reduced transmitter power at the the IRS and transmitter beamforming source and enhanced the tag's range [128] Intelligent coherent signal Develop unsupervised learning algorithm Achieved coherent detection detection at receiver for joint signal estimation and decoding with a low-cost receiver [129] Intelligent signal detection Exploit the clustering phenomenon Achieved non-coherent signal at receiver…”

Backscatter Wireless Communications and Sensing in Green Internet of Things

“…Content may change prior to final publication. Citation information: DOI 10.1109/TGCN.2021.3095792, IEEE Transactions on Green Communications and Networking [122] Single-UAV assisted BackCom Design an optimal trajectory for UAV Achieved optimal trajectory and data collection and enable uplink multiple access high decoding of data at the UAV [123] Multiple-UAV assisted BackCom Design techniques for minimum Achieved shortest operation time when data collection operating time of UAV using DRL maximum (four) UAVs were deployed [124] UAV assisted throughput Design an operating protocol Achieved high throughput gain enhancement for UAV as a relay [125] D2D-relaying assisted throughput Design an optimal policy for setting Improved BackCom network improvement operating condition for relay nodes throughput [126] QoS guaranty in UAV-assisted Design techniques to ensure UAV relaying Achieved higher arrival rate from BackCom based IoT through BackCom and multiple access IoT nodes and higher number of to guaranty QoS connected IoT nodes [127] IRS assisted BackCom Jointly optimize phase shifts at Reduced transmitter power at the the IRS and transmitter beamforming source and enhanced the tag's range [128] Intelligent coherent signal Develop unsupervised learning algorithm Achieved coherent detection detection at receiver for joint signal estimation and decoding with a low-cost receiver [129] Intelligent signal detection Exploit the clustering phenomenon Achieved non-coherent signal at receiver…”

Short-Range Ambient Backscatter Communication Using Reconfigurable Intelligent Surfaces

“…OFDM waveform has a special spectrum structure which can provide a range of flexibility in terms of data rate. In [16]- [19], two different AmBC methods were proposed to transmit only one bit over one OFDM symbol (duration). In [16]- [18], an AmBC approach was investigated which exploits the cyclic prefix (CP) of OFDM signals to improve the performance of the system when the duration of the CP is greater than the maximum delay spread of multipath channels.…”

“…In [16]- [18], an AmBC approach was investigated which exploits the cyclic prefix (CP) of OFDM signals to improve the performance of the system when the duration of the CP is greater than the maximum delay spread of multipath channels. A method in [19] used matched-filtering at the tag to impose a certain property that improves the signal detection performance at the reader. Furthermore, in [20], [21], an AmBC method was evaluated to send data over null (i.e., guard-band) subcarriers of an OFDM signal.…”