Efficient, Fair, and QoS-Aware Policies for Wirelessly Powered Communication Networks

Rezaei, Roohollah; Omidvar, Naeimeh; Movahednasab, Mohammad; Pakravan, Mohammad Reza; Sun, Sumei; Guan, Yong Liang

doi:10.1109/tcomm.2020.3002584

Cited by 3 publications

(3 citation statements)

References 26 publications

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“…Then, letting L → ∞ (46) is simplified to (6) for the cases with asymptotically long codewords. Note that replacing (6) with the modified rate function (46), the results in Theorem 1 are still applicable and our data admission policy remains optimal. However, Algorithm 1 is an approximate solution for data link scheduling Problem (19) with the modified rate function (46).…”

Section: A Finite Blocklength Analysis Of the Proposed Schemementioning

confidence: 95%

“…Note that replacing (6) with the modified rate function (46), the results in Theorem 1 are still applicable and our data admission policy remains optimal. However, Algorithm 1 is an approximate solution for data link scheduling Problem (19) with the modified rate function (46). the sensitivity to the error probability decreases.…”

Section: A Finite Blocklength Analysis Of the Proposed Schemementioning

confidence: 95%

“…which approximates the achievable rate with the finite length codewords. In (46), L denotes the packet length, Q −1 (.) is the inverse Q-function and ψ is the maximum codeword error probability of the decoder.…”

Section: A Finite Blocklength Analysis Of the Proposed Schemementioning

confidence: 99%

See 2 more Smart Citations

On Energy Allocation and Data Scheduling in Backscatter Networks with Multi-antenna Readers

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et al. 2021

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In this paper, we study the throughput utility functions in buffer-equipped monostatic backscatter communication networks with multi-antenna Readers. In the considered model, the backscatter nodes (BNs) store the data in their buffers before transmission to the Reader. We investigate three utility functions, namely, the sum, the proportional and the common throughput. We design online admission policies, corresponding to each utility function, to determine how much data can be admitted in the buffers. Moreover, we propose an online data link control policy for jointly controlling the transmit and receive beamforming vectors as well as the reflection coefficients of the BNs. The proposed policies for data admission and data link control jointly optimize the throughput utility, while stabilizing the buffers.We adopt the min-drift-plus-penalty (MDPP) method in designing the control policies. Following the MDPP method, we cast the optimal data link control and the data admission policies as solutions of two independent optimization problems which should be solved in each time slot. The optimization problem corresponding to the data link control is non-convex and does not have a trivial solution. Using Lagrangian dual and quadratic transforms, we find a closed-form iterative solution. Finally, we use the results on the achievable rates of finite blocklength codes to study the system performance in the cases with short packets. As demonstrated, the proposed policies achieve optimal utility and stabilize the data buffers in the BNs.

show abstract

Section: A Finite Blocklength Analysis Of the Proposed Schemementioning

confidence: 95%

Section: A Finite Blocklength Analysis Of the Proposed Schemementioning

confidence: 95%

See 1 more Smart Citation

On Energy Allocation and Data Scheduling in Backscatter Networks with Multi-antenna Readers

Movahednasab¹,

Pakravan²,

Makki³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

On Energy Allocation and Data Scheduling in Backscatter Networks With Multi-Antenna Readers

Movahednasab

Pakravan

Makki

et al. 2021

IEEE Open J. Commun. Soc.

View full text Add to dashboard Cite

In this paper, we study the throughput utility functions in buffer-equipped monostatic backscatter communication networks with multi-antenna Readers. In the considered model, the backscatter nodes (BNs) store the data in their buffers before transmission to the Reader. We investigate three utility functions, namely, the sum, the proportional and the common throughput. We design online admission policies, corresponding to each utility function, to determine how much data can be admitted in the buffers. Moreover, we propose an online data link control policy for jointly controlling the transmit and receive beamforming vectors as well as the reflection coefficients of the BNs. The proposed policies for data admission and data link control jointly optimize the throughput utility, while stabilizing the buffers. We adopt the min-drift-plus-penalty (MDPP) method in designing the control policies. Following the MDPP method, we cast the optimal data link control and the data admission policies as solutions of two independent optimization problems which should be solved in each time slot. The optimization problem corresponding to the data link control is non-convex and does not have a trivial solution. Using Lagrangian dual and quadratic transforms, we find a closed-form iterative solution. Finally, we use the results on the achievable rates of finite blocklength codes to study the system performance in the cases with short packets. As demonstrated, the proposed policies achieve optimal utility and stabilize the data buffers in the BNs.

show abstract

Online Energy Consumption Optimization in WPCNs With Time-Varying Energy Storage Efficiency

Jin

et al. 2023

IEEE Trans. Commun.

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Efficient, Fair, and QoS-Aware Policies for Wirelessly Powered Communication Networks

Cited by 3 publications

References 26 publications

On Energy Allocation and Data Scheduling in Backscatter Networks with Multi-antenna Readers

On Energy Allocation and Data Scheduling in Backscatter Networks with Multi-antenna Readers

On Energy Allocation and Data Scheduling in Backscatter Networks With Multi-Antenna Readers

Online Energy Consumption Optimization in WPCNs With Time-Varying Energy Storage Efficiency

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