Energy Efficiency Maximization for Symbiotic Radio Networks With Multiple Backscatter Devices

Yang, Haohang; Ye, Yinghui; Liang, Kai; Chu, Xiaoli

doi:10.1109/ojcoms.2021.3090836

“…In the TDMA mode, SBDs take turns in transmitting their information in equal time slots in time frames [39]. If the amount of information sent in an SBD is large, it is necessary to allocate more slots to those SBDs.…”

Section: Comparison Of T-sr and Tdma Modesmentioning

confidence: 99%

Multi-BD Symbiotic Radio-Aided 6G IoT Network: Energy Consumption Optimization with QoS Constraint Approach

Saadat¹

2023

Preprint

0

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<p>Symbiotic radio (SR) is a novel paradigm in cognitive ambient backscatter communication, which makes the connection of devices without the need to reallocation of the frequency spectrum and complex energy infrastructure and so, can turn a 6G network into a green communication. In the system model of this paper, the base stations (BSs) with the active antennas, symbiotic backscatter devices (SBDs) and symbiotic user equipment (SUE) are considered. The main purpose is to minimize the energy consumption (EC) in the SR network and increase energy efficiency (EE) by taking into account to fulfillment of the minimum required throughput for SBDs. To this end, we introduce a new scheduling system called Timing SR (T-SR) to optimal resource allocation between SBDs. In this system, SBDs harvest energy from ambient signals and then send their information without interfering with each other, even in simultaneous transmission, to SUE by using the carrier of its signal. The main optimization problem has non-convex objective functions and constraints. To solve it, we use the novel mathematical methods called conic quadratic representation (CQR) and sequential quadratic (SQ) techniques. Finally, simulation results demonstrate the superiority of the proposed method compared to other outlined schemes in reducing the EC.</p>

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“…It is not difficult to see that with any given p, the optimal beamforming direction v * to problem (10) is obtained by solving the following optimization problem…”

Section: Maximum Individual Ee Of Pt and Bdmentioning

confidence: 99%

“…By substituting the SINR ( 13) into (10), the optimization problem reduces to finding the optimal transmit power p * as:…”

Section: Maximum Individual Ee Of Pt and Bdmentioning

confidence: 99%

“…However, there are very limited works on EE study for SR systems. In [10], the authors propose a Dinkelbach-based iterative algorithm to maximize the EE of a single-input single-output (SISO) SR system. In [11], the EE of a multiple-input singleoutput (MISO) SR system with finite-block-length channel codes is studied.…”

Section: Introduction Symbiotic Radio (Sr) Communication Has Been Rec...mentioning

confidence: 99%

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Characterizing the Energy-Efficiency Region of Symbiotic Radio Communications

Wang¹,

Xu²,

Zeng³

2022

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0

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Symbiotic radio (SR) communication is a promising technology to achieve spectrum-and energy-efficient wireless communication, by enabling passive backscatter devices (BDs) reuse not only the spectrum, but also the power of active primary transmitters (PTs). In this paper, we aim to characterize the energy-efficiency (EE) region of multiple-input single-output (MISO) SR systems, which is defined as all the achievable EE pairs by the active PT and passive BD. To this end, we first derive the maximum individual EE of the PT and BD, respectively, and show that there exists a non-trivial trade-off between these two EEs. To characterize such a trade-off, an optimization problem is formulated to find the Pareto boundary of the EE region by optimizing the transmit beamforming and power allocation. The formulated problem is non-convex and difficult to be directly solved. An efficient algorithm based on successive convex approximation (SCA) is proposed to find a Karush-Kuhn-Tucker (KKT) solution. Simulation results are provided to show that the proposed algorithm is able to effectively characterize the EE region of SR communication systems.

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“…In [38], authors tried to reach the maximum EE with efficient resource allocation among BD with considering the guarantee of the quality of service (QoS) for users in NOMA-backscatter communication (BC) networks. To overcome the drawbacks of the BC systems, the SR system has been considered in paper [39]. In this paper, the authors consider the EE maximization problem of SR system with multiple BDs, which enables to harvesting of energy from the ambient signal.…”

Section: B Related Workmentioning

confidence: 99%

Energy Consumption in Multi-BD Symbiotic Radio System assisted 6G Network: A QoS Constraint Approach

Saadat¹

2022

Preprint

1

0

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<p>Symbiotic radio (SR) is a novel paradigm in cognitive ambient backscatter communication, which makes the connection of devices without the need to reallocation of the frequency spectrum and complex energy infrastructure and so, can turn a 6G network into a green communication. In the system model of this paper, the base stations (BSs) with the active antennas, symbiotic backscatter devices (SBDs) and symbiotic user equipment (SUE) are considered. The main purpose is to minimize the energy consumption (EC) in the SR network and increase energy efficiency (EE) by taking into account to fulfillment of the minimum required throughput for SBDs. To this end, we introduce a new scheduling system called Timing SR (T-SR) to optimal resource allocation between SBDs. In this system, SBDs harvest energy from ambient signals and then send their information without interfering with each other, even in simultaneous transmission, to SUE by using the carrier of its signal. The main optimization problem has non-convex objective functions and constraints. To solve it, we use the novel mathematical methods called conic quadratic representation (CQR) and sequential quadratic (SQ) techniques. Finally, simulation results demonstrate the superiority of the proposed method compared to other outlined schemes in reducing the EC.</p>

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Energy Efficiency Maximization for Symbiotic Radio Networks With Multiple Backscatter Devices

Cited by 36 publications

References 32 publications

Multi-BD Symbiotic Radio-Aided 6G IoT Network: Energy Consumption Optimization with QoS Constraint Approach

Multi-BD Symbiotic Radio-Aided 6G IoT Network: Energy Consumption Optimization with QoS Constraint Approach

Characterizing the Energy-Efficiency Region of Symbiotic Radio Communications

Energy Consumption in Multi-BD Symbiotic Radio System assisted 6G Network: A QoS Constraint Approach

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