Multipoint Wireless Information and Power Transfer to Maximize Sum-Throughput in WBAN With Energy Harvesting

He, Liu; Hu, Fengye; Qu, Shengguan; Li, Zan; Dong, Li

doi:10.1109/jiot.2019.2914147

Cited by 34 publications

(11 citation statements)

References 31 publications

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“…Under these assumptions, our work actually characterizes the fairness performance limit of the considered IRS-aided SWIPT IoT network. 2 Specifically, by combining the signal received directly from the BS and that reflected by the IRS, the received signal at ID i I is then given by…”

Section: A An Irs-aided Mimo Swipt Systemmentioning

confidence: 99%

Beamforming Optimization for Intelligent Reflecting Surface-Aided SWIPT IoT Networks Relying on Discrete Phase Shifts

Gong

Yang

Xing

et al. 2021

IEEE Internet Things J.

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Intelligent reflecting surface (IRS) is capable of constructing the favorable wireless propagation environment by leveraging massive low-cost reconfigurable reflectarray elements. In this paper, we investigate the IRS-aided MIMO simultaneous wireless information and power transfer (SWIPT) for Internet of Things (IoT) networks, where the active base station (BS) transmit beamforming and the passive IRS reflection coefficients are jointly optimized for maximizing the minimum signal-tointerference-plus-noise ratio (SINR) among all information decoders (IDs), while maintaining the minimum total harvested energy at all energy receivers (ERs). Moreover, the IRS with practical discrete phase shifts is considered, and thereby the max-min SINR problem becomes a NP-hard combinatorial optimization problem with a strong coupling among optimization variables. To explore the insights and generality of this maxmin design, both the Single-ID Single-ER (SISE) scenario and the Multiple-IDs Multiple-ERs (MIME) scenario are studied. In the SISE scenario, the classical combinatorial optimization techniques, namely the special ordered set of type 1 (SOS1) and the reformulation-linearization (RL) technique, are applied to overcome the difficulty of this max-min design imposed by discrete optimization variables. Then the optimal branch-and-bound algorithm and suboptimal alternating optimization algorithm are respectively proposed. We further extend the idea of alternating optimization to the MIME scenario. Moreover, to reduce the iteration complexity, a two-stage scheme is considered aiming to separately optimize the BS transmit beamforming and the IRS reflection coefficients. Finally, numerical simulations demonstrate the superior performance of the proposed algorithms over the benchmarks in both the two scenarios.

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Section: A An Irs-aided Mimo Swipt Systemmentioning

confidence: 99%

Beamforming Optimization for Intelligent Reflecting Surface-Aided SWIPT IoT Networks Relying on Discrete Phase Shifts

Gong

Yang

Xing

et al. 2021

IEEE Internet Things J.

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“…According to (13), we solve the sum-throughput maximization problem in WBAN by using Lagrange dual function algorithm and Karush-Kuhn-Tucker (KKT) conditions [26], [27]. Then, as described by Fig.4, due to the unfair resources allocation, the throughput of S 2 is much lower than the throughput of S 1 for two-sensor MP-WBAN, i.e., K = 2.…”

Section: System Modelmentioning

confidence: 99%

Throughput Maximization by Time Switching in Multipoint WBAN With Fairness Consideration

Liu

Yang

et al. 2020

IEEE Access

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In this paper, the average throughput maximization challenge with resources fairness consideration is proposed. In a multipoint wireless body area network (MP-WBAN), the time switching (TS) strategy and fairness algorithm are studied to improve system resources allocation performance. Under extreme circumstances, the sensors transfer command signals to the access point (AP) requesting the radio frequency (RF) energy from the source node. On the other hand, the sensors attached to the body surface transmit the perceived physiological information to the AP node. Owing to distance-dependent signal attenuation, the sensors near the AP node harvest more RF energy and time slots to achieve higher throughput. On the contrary, the sensors farther from the source node receive fewer RF energy and time slots to obtain lower throughput. Therefore, we design the common throughput maximization algorithm to allocate more time to farther sensors. At last, the effectiveness and accuracy of the studied fairness scheme are verified by simulation experimental data. INDEX TERMS MP-WBAN; convex optimization technique; TS protocol; common throughput maximization.

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“…We don't repeat it here. Since the total energy that can be collected by the sensors in this mode is different from that in the full-duplex mode, so according to formula (13) we can get that the optimal problem can be shown as…”

Section: Optimization Strategymentioning

confidence: 99%

“…Therefore, the transmission of energy and information between multiple points is gradually studied. In [13], they study two cases of system normal and system abnormal in multi-point wireless body area network (MP-WBAN), and propose a hybrid TS and PS protocol, using convex optimization technology and iterative algorithm to get the maximum throughput solution. The model in [14] is a multi-point and an access point (AP) with multi-antenna system.…”

Section: Introductionmentioning

confidence: 99%

Optimal Dynamic Resource Allocation for Multi-Point Communication in WBAN

et al. 2020

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Considering the characteristics of lower power resources in multi-point wireless body area networks (WBANs), the wireless energy and information transmission in full duplex (FD) mode is considered. We propose a transmission protocol based on time division multiple access, which includes two phases. In the inactive phase, the signal access point (AP) broadcasts Radio Frequency (RF) energy to the sensors. When the energy collected by all sensors reaches their respective energy thresholds, the active phase will start. In the active phase, the sensors send back the collected physiological information parameters to the AP, while sensors still collecting the energy transmitted from the AP to achieve the purpose of energy accumulating. Our goal is to obtain the optimal time allocation ratio through the joint objective linear programming method to obtain the maximum average sum-throughput. The simulation results compared with the AP with FD and the sensors with half duplex (HD) show that our proposed optimization method can improve system throughput obviously. INDEX TERMS Wireless body area network (WBAN), energy harvest, energy and information transfer, full duplex (FD), half duplex (HD), linear programming method.

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Multipoint Wireless Information and Power Transfer to Maximize Sum-Throughput in WBAN With Energy Harvesting

Cited by 34 publications

References 31 publications

Beamforming Optimization for Intelligent Reflecting Surface-Aided SWIPT IoT Networks Relying on Discrete Phase Shifts

Beamforming Optimization for Intelligent Reflecting Surface-Aided SWIPT IoT Networks Relying on Discrete Phase Shifts

Throughput Maximization by Time Switching in Multipoint WBAN With Fairness Consideration

Optimal Dynamic Resource Allocation for Multi-Point Communication in WBAN

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