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Reliability-Oriented Resource Allocation in Short-Packet Backscatter Communications
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DOI：10.1109/TVT.2024.3472093.png)
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Abstract
En 中文
In this paper, we investigate a short-packet backscatter communication (BackCom) network, where multiple Internet of Things (IoT) nodes (INs) subsequently backscatter their short-packet data to the information receiver via BackCom. In order to improve the reliability of the investigated network, we formulate an optimization problem to minimize the maximum error probability (EP) among all INs by jointly optimizing the transmit power (TP) of the dedicated energy source (ES), the short-packet blocklength and power reflection coefficient (PRC) at each IN. The problem is formulated as a mixed-integer non-linear programming problem. To tackle it, we first derive the close-form expressions for both the optimal TP at the ES and the optimal PRC at each IN, resulting in two subproblems where the optimal TP and PRC are utilized. Then the optimal solution to the original problem (OP) corresponds to that of the subproblem with the lower EP at the worst IN. After replacing integer variables with continuous ones, the convexities of the two subproblems are demonstrated. Consequently, the solution to the OP can be achieved by addressing the two subproblems via convex tools and utilizing an integer conversion method. Simulation results show the superiority of the proposed scheme in terms of the EP by comparing with several benchmark schemes.
Keywords:
Reliability
Optimization
Backscatter
Resource management
Signal to noise ratio
Receivers
Internet of Things
Channel estimation
Autonomous aerial vehicles
Throughput
Backscatter communications
short-packet communications
resource allocation
reliability
Journal
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7.1
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1.8W
Citations:
6.6W