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Sökning: id:"swepub:oai:DiVA.org:kth-312596" > Joint Resource Allo...

Joint Resource Allocation for Full-Duplex Ambient Backscatter Communication : A Difference Convex Algorithm

Madavani, Fatemeh Kaveh (författare)
Soleimanpour-moghadam, Mohadeseh (författare)
Talebi, Siamak (författare)
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Chatzinotas, Symeon (författare)
Ottersten, Björn, 1961- (författare)
Centre for Security Reliability and Trust (SnT), University of Luxembourg, Luxembourg, L-1855 Luxembourg,Signal Processing
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 (creator_code:org_t)
Institute of Electrical and Electronics Engineers (IEEE), 2022
2022
Engelska.
Ingår i: IEEE Transactions on Wireless Communications. - : Institute of Electrical and Electronics Engineers (IEEE). - 1536-1276 .- 1558-2248. ; , s. 1-1
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • Nowadays, Ambient Backscatter Communication (AmBC) systems have emerged as a green communication technology to enable massive self-sustainable wireless networks by leveraging Radio Frequency (RF) Energy Harvesting (EH) capability. A Full-duplex Ambient Backscatter Communication (FAmBC) network with a Full-duplex Access Point (AP), a dedicated Legacy User (LU), and several Backscatter Devices (BDs) is considered in this study. The AP with two antennas transfers downlink Orthogonal Frequency Division Multiplexing (OFDM) information and energy to the dedicated LU and several BDs, respectively, while receiving uplink backscattered information from BDs at the same time. One of the key aims in AmBC networks is to ensure fairness among BDs. To address this, we propose the Multi-objective Lexicographical Optimization Problem (MLOP), which aims to maximize the minimum BD’s throughput while enhancing overall BDs’ throughput, subject to the AP’s subcarrier power, BDs’ reflection coefficients, and backscatter time allocation. Owe to the MLOP is non-convex, we propose Difference Convex Algorithm (DCA) using Exterior Penalty Function Method (EPFM)—an inventive non-convex optimization method— to reach the optimal solution. The most critical advantage of applying this proposed approach is finding the globally optimal solution. The effectiveness of the proposed method supported by theoretical analysis confirms its superiority compared to some of the investigated suboptimal algorithms with the same computational complexity.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)

Nyckelord

Ambient backscatter communication
Backscatter
Difference Convex Programming
Multi-objective optimization problem
Non-convex problem
Optimization
Radio frequency
Receivers
Resource allocation
Resource management
Throughput
Wireless communication
Wireless-driven IoT

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