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Khatami, N., Majidi, M.. (1401). Resource Allocation for Full-Duplex Wireless Information and Power Transfer in Wireless Body Area Network. فناوری آموزش, 10(2), 329-340. doi: 10.22061/jecei.2021.8112.485
N. Khatami; M. Majidi. "Resource Allocation for Full-Duplex Wireless Information and Power Transfer in Wireless Body Area Network". فناوری آموزش, 10, 2, 1401, 329-340. doi: 10.22061/jecei.2021.8112.485
Khatami, N., Majidi, M.. (1401). 'Resource Allocation for Full-Duplex Wireless Information and Power Transfer in Wireless Body Area Network', فناوری آموزش, 10(2), pp. 329-340. doi: 10.22061/jecei.2021.8112.485
Khatami, N., Majidi, M.. Resource Allocation for Full-Duplex Wireless Information and Power Transfer in Wireless Body Area Network. فناوری آموزش, 1401; 10(2): 329-340. doi: 10.22061/jecei.2021.8112.485

Resource Allocation for Full-Duplex Wireless Information and Power Transfer in Wireless Body Area Network

Journal of Electrical and Computer Engineering Innovations (JECEI)
مقاله 6، دوره 10، شماره 2، مهر 2022، صفحه 329-340    اصل مقاله (943.91 K)
نوع مقاله: Original Research Paper
شناسه دیجیتال (DOI): 10.22061/jecei.2021.8112.485
نویسندگان
N. Khatami؛ M. Majidi*
Department of Electrical and Computer Engineering, University of Kashan, Kashan, Iran.
تاریخ دریافت: 19 مرداد 1400،  تاریخ بازنگری: 02 آذر 1400،  تاریخ پذیرش: 07 آذر 1400 
چکیده
Background and Objectives: The purpose of a wireless body area network (WBAN) is to collect and send vital body signals to the physician to make timely decisions, improve the efficiency of medical informatics systems, and save costs. The sensors of the WBAN network have limited size and energy, and hence, to extend the lifetime of these sensors, they can be powered wirelessly. Our focus in this paper is on a two-tier full-duplex (FD) cooperative WBAN in which sensors, in addition to transmitting physiological information, harvest energy from radio frequency (RF) coordinator signals and body sources. Our goal is to maximize average weighted sum throughput (AWST) under the constraints of each sensor, including meeting the minimum data rate, delay limitation, energy and transmission power constraints.
Methods: The resources allocated to solve this optimization problem are the time slots, the transmission rates of the sensors and coordinator, and the transmission powers of sensors in each time slot. The time scheduling problem in the first step is modeled in the form of a mixed-integer linear programming (MILP) problem and the second step problem is convex. Also, Karush–Kuhn–Tucker (KKT) conditions are presented for power and rate allocation.
Results: In the optimal allocation (OA) mode, contrary to the equal time allocation (ETA) one, with increasing the relay power, the AWST increases despite increasing self-interference (SI). Energy harvesting from the body, nevertheless the power consumption for transmission, makes positive the slope of the instantaneous energy curve for the motion sensor and reduces the corresponding slope for the electrocardiogram (ECG) one. Comparison of the proposed method with previous methods shows that the proposed method has better control over the information flow of sensors, and also in allocating rate to users, fairness is satisfied.
Conclusion: According to the simulation results in our method, the system showed better performance than the equal time allocation mode. We also used the FD technique and with the help of the optimal time scheduling index, we were able to control the SI.
کلیدواژه‌ها
Wireless Body Area Network؛ Simultaneous Wireless Information and Power Transfer؛ Full-duplex؛ Resource Allocation؛ Body Energy Harvesting
مراجع

[1] S. Li, F. Hu, Z. Mao, Z. Ling, Y. Zou, “Sum-throughput maximization by power allocation in WBAN with relay cooperation,” IEEE Access, 7: 124727–124736, 2019.

[2] S. Movassaghi, M. Abolhasan, J. Lipman, D. Smith, A. Jamalipour, “Wireless body area networks : A survey,” IEEE Commun. Surv. Tutorials, 16(3): 1658–1686, 2014.

[3] S. Dehghanpour, M. Majidi, "Simultaneous wireless information and power transfer in a network of on-body and implantable sensors with temperature constraint and intelligent channel prediction," Comput. Intell. Electr. Eng., 2021.

[4] A. Razavi, M. Jahed, “Capacity-outage joint analysis and optimal power allocation for wireless body area networks,” IEEE Syst. J., 13(1): 635–646, 2019.

[5] X. Liu, F. Hu, M. Shao, D. Sui, G. He, “Power allocation for energy harvesting in wireless body area networks,” China Commun., 14(6): 22–31, 2017.

[6] A. Vyas, S. Pal, B.K. Saha, “Relay-based communications in WBANs : A comprehensive survey,” ACM Comput. Surv. (CSUR), 54(1): 1-34, 2020.

[7] M. Boumaiz, M. El Ghazi, S. Mazer, M. Fattah, A. Bouayad,
M.E.l Bekkali, Y. Balboul, ‘‘Energy harvesting based WBANs: EH optimization methods,’’ Procedia Comput. Sci., 151: 1040–1045, 2019.

[8] Z. Liu, B. Liu, C. Chen, C.W. Chen, “Energy-efficient resource allocation with QoS support in wireless body area networks,” presented at the  2015 IEEE Global Communications Conference (GLOBECOM), San Diego, USA, 2015.

[9] H. Yektamoghadam, A. Nikoofard, “Fault detection in thermoelectric energy harvesting of human body,” J. Electr. Comput. Eng. Innov., 9(1): 57–66, 2021.

[10] F. Akhtar, M.H. Rehmani, P. Design, “Energy harvesting for self-sustainable wireless body area networks,” IT Prof., 19(2): 32–40, 2017.

[11] J.C. Kwan, A.O. Fapojuwo, “Radio frequency energy harvesting and data rate optimization in wireless information and power transfer sensor networks,” IEEE Sens. J., 17(15): 4862–4874, 2017.

[12] L. Wang, F. Hu, Z. Ling, B. Wang, “Wireless information and power transfer to maximize information throughput in WBAN,” IEEE Internet Things J., 4(5): 1663–1670, 2017.

[13] H. Gu, Z. Li, L. Wang, Z. Ling, “Resource allocation for wireless information and power transfer based on WBAN,” Phys. Commun., 37, 2019.

[14] M. Mohammadkhani Razlighi, N. Zlatanov, “Buffer-aided relaying for the two-hop full-duplex relay channel with self-interference,” IEEE Trans. Wirel. Commun., 17(1): 477–491, 2018.

[15] S. Shen, J. Qian, D. Cheng, K. Yang, G. Zhang, “A Sum-utility maximization approach for fairness resource allocation in wireless powered body area networks,” IEEE Access, 7: 20014–20022, 2019.

[16] S. Li, F. Hu, J. Yu, Z. Huang, “Optimal power allocation with a cooperative relay in multi-point WBAN,” presented at the IEEE/CIC International Conference on Communications in China (ICCC), Changchun,  China, 2019.

[17] S. Li, F. Hu, Z. Xu, Z. Mao, Z. Ling, H. Liu, “Joint power allocation in classified WBANs with wireless information and power transfer,” IEEE Internet Things J., 8(2): 989–1000, 2021.

[18] H. Liu, F. Hu, S. Qu, Z. Li, D. Li, “Multipoint wireless information and power transfer to maximize sum-throughput in WBAN with energy harvesting,” IEEE Internet Things J., 6(4): 7069–7078, 2019.

[19] X. Zhang, K. Liu, L. Tao, “A cooperative communication scheme for full-duplex simultaneous wireless information and power transfer wireless body area networks,” IEEE Sensors Lett., 2(4): 1–4, 2018.

[20] Z. Huang, Y. Cong, Z. Ling, Z. Mao, F. Hu, “Optimal dynamic resource allocation for multi-point communication in WBAN,” IEEE Access, 8: 114153–114161, 2020.

[21] Y.H. Xu, G. Yu, Y.T. Yong, “Deep reinforcement learning-based resource scheduling strategy for reliability-oriented wireless body area networks,” IEEE Sensors Lett., 5(1): 3–6, 2021

[22] Z. Liu, B. Liu, C. W. Chen, “Buffer-aware resource allocation scheme with energy efficiency and QoS effectiveness in wireless body area networks,” IEEE Access, 5: 20763–20776, 2017.

[23] S. Boyd, L. Vandenberghe, Convex Optimization, United Kingdom: Cambridge, 2004.

[24] H. Zhang, S. Huang, C. Jiang, K. Long, V.C.M. Leung, H.V. Poor, “Energy-efficient user association and power allocation in millimeter-wave-based ultra-dense networks with energy harvesting base stations,” IEEE J. Sel. Areas Commun., 35(9): 1936–1947, 2017.

[25] A.K. Shukla, P.K. Upadhyay, A. Srivastava, J.M. Moualeu, “Enabling co-existence of cognitive sensor nodes with energy harvesting in body,” IEEE Sens. J., 21(9): 11213–11223, 2021.

[26] D. Sui, F. Hu, W. Zhou, M. Shao, M. Chen, “Relay selection for radio frequency energy-harvesting wireless body area network with buffer,” IEEE Internet Things J., 5(2): 1100–1107, 2018.

[27] IEEE standard for local and metropolitan area networks part 15.6: Wireless body area networks, 2012.

[28] S. van Roy, F. Quitin, L. Liu, C. Oestges, F.Horlin, J.M. Dricot, P. De Doncker, “Dynamic channel modeling for multi-sensor body area networks,” IEEE Trans. Antennas Propag., 61(4): 2200–2208, 2013.

[29] D. Cavalheiro, A.C. Silva, S. Valtchev, J.P. Teixeira, V. Vassilenko, “Energy harvested from the respiratory effort,” presented at the 5th International Joint Conference on Biomedical Engineering Systems and Technology- BIOSTEC, Vilamoura, Portugal, 2012.

[30] E. Romero Ramirez, “Energy harvesting from body motion using rotational micro-generation,” Ph.D. dissertation, Dept. Mech. Eng., Univ. Michigan Tech, 2010.

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