A Survey on Multiuser SWIPT Communications for 5G+

Özyurt, Serdar; Coşkun, Abdulkerim; Büyükçorak, Saliha; Kurt, Güneş Karabulut; Kucur, Oğuz

doi:10.1109/access.2022.3212774

Cited by 16 publications

(10 citation statements)

References 279 publications

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“…In [11], the authors showed that, for the fully digital beamforming case, the optimal solution to the semidefinite relaxation version of the power minimization problem expressed as ( 8) is also the optimal solution to problem (8). We extend the proof to the hybrid precoding case.…”

Section: B Proof Of Propositionmentioning

confidence: 78%

“…We assume that the multiplication between an m × p matrix and a p × n matrix has a time complexity of O(mpn), and the complexities of computing the inverse and determinant of an n × n matrix are both O(n 3 ). Referring to [34], the computation load of FullyDig, which solves problem (8) with the interior-point algorithm, is known as O(…”

Section: E Complexity Analysismentioning

confidence: 99%

“…EH is also attracting substantial attention from academia and industries under various names such as zero-energy devices and batteryless devices [5]- [8].…”

Section: Introductionmentioning

confidence: 99%

“…To enable efficient management of massive connectivity by the base station (BS), the BS needs to employ a radio frequency (RF) for both information transmission and energy transfer. This concept, known as simultaneous wireless information and power transfer (SWIPT), can be realized through three primary receiver designs: time switching (TS), antenna switching (AS), and power-splitting (PS) [8]. The TS structure allows a receiver to alternate between information decoding (ID) and energy harvesting (EH), necessitating fine time synchronization and a guard time to account for propagation delay.…”

Section: Introductionmentioning

confidence: 99%

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Hybrid Beamforming Based SWIPT System Satisfying Individual Rate and Energy Constraints

Kim,

Jin

2024

IEEE Access

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In this paper, we consider a simultaneous wireless information and power transfer (SWIPT) system adopting hybrid analog-digital beamforming where a base station (BS) with massive antennas transmits different data streams to multiple single-antenna devices. Our primary objective is to minimize the transmit-power of the BS while ensuring energy harvesting and signal-to-interference-plus-noise ratio (SINR) requirements of each device. We specifically highlight that our approach can accommodate the scenarios where users have different requirements on the harvested energy and the received SINR. We propose two suboptimal solutions in which digital and analog precoders are designed jointly. In the first solution (OptDig-ProRF), the objective function is approximated to be independent of the digital precoder and power splitting ratios, and the local minimum of the objective function is found to obtain an analog precoder. Subsequently, the optimal digital precoder and power splitting ratios are found for the obtained analog precoder using semidefinite relaxation of the original problem. In the second solution (ZfDig-SohRF), to reduce computational complexity, we newly design a zero-forcing (ZF) digital precoder which meets users' requirements while applying the corresponding analog precoder proposed in the literature. The two precoders are iteratively found until the transmit power difference between two consecutive updates falls below a threshold. Illustrative results show that the OptDig-ProRF scheme yields a very close performance to the fully digital precoder in terms of transmit power, while the ZfDig-SohRF scheme outperforms the optimal digital precoder plus a conventional analog precoder scheme at high SINR constraints.INDEX TERMS SWIPT, hybrid beamforming, individual requirements.

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Section: B Proof Of Propositionmentioning

confidence: 78%

Section: E Complexity Analysismentioning

confidence: 99%

“…EH is also attracting substantial attention from academia and industries under various names such as zero-energy devices and batteryless devices [5]- [8].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Hybrid Beamforming Based SWIPT System Satisfying Individual Rate and Energy Constraints

Kim,

Jin

2024

IEEE Access

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“…Energy consumption increasing not only increases the cost of implementing wireless communication systems but also it will be a severe challenge for the environment. Wireless energy harvesting technology is one of the ways to solve the energy consumption challenge [6]. In fact, wireless energy harvesting helps harvest wireless energy from natural and unnatural sources.…”

mentioning

confidence: 99%

Resource Allocation of Massive MIMO NOMA Networks with SWIPT-NOMA Technology

Shirzad,

Andargoli

2023

Preprint

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Massive Multi Input Multi Output (MIMO) and Non-Orthogonal Multiple Access (NOMA) techniques have emerged as revolutionary techniques to improve the spectrum efficiency for 5G systems. In this paper, user grouping and power allocation are investigated in NOMA based massive MIMO networks with Simultaneous Wireless Information and Power Transfer (SWIPT). We use the Zero Forcing (ZF) beamforming method to group users then the NOMA technique is applied to establish multiple access for the users of each group. In order to cluster the users, we propose a novel method for cluster head selection and user assignment to the group in which challenges related to Successive interference Cancellation (SIC) implementation are considered. In the following, we formulate the sum rate maximization problem based on jointly optimizing power allocation and power splitting factors. Since the formulated optimization problem is a non-convex optimization problem, it is converted to the convex form by some lemmas and relaxations. The relaxed problem is solved by the CVX toolbox of MATLAB software. Simulation results show that proposed strategies improve the sum rate in comparison with benchmark algorithms while the NOMA requirements are satisfied and the implementation challenges are handled.

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Energy‐efficient resource allocation over wireless communication systems through deep reinforcement learning

Shukla,

Kollu,

Panwar

et al. 2023

Int J Communication

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SummaryAs the popularity of the Internet of Things (IoT) increases, so do the energy requirements of IoT terminal equipment. To address the energy shortage problem of equipment and ensure continuous and stable operation in light of renewable energy and an uncertain environment, a rational and efficient energy allocation strategy is required. This paper proposes a deep reinforcement learning energy allocation strategy that uses the DQN algorithm to directly interact with the unknown environment. The best energy allocation method is independent of environmental knowledge, and a pretraining algorithm is proposed to maximise the initialization state of the strategy. Experiments of comparison and simulation are conducted under various channel data circumstances. Results indicate that the proposed energy allocation strategy outperforms the current strategy in multiple channel conditions and has a high capacity for adaptation to changing conditions.

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A Survey on Multiuser SWIPT Communications for 5G+

Cited by 16 publications

References 279 publications

Hybrid Beamforming Based SWIPT System Satisfying Individual Rate and Energy Constraints

Hybrid Beamforming Based SWIPT System Satisfying Individual Rate and Energy Constraints

Resource Allocation of Massive MIMO NOMA Networks with SWIPT-NOMA Technology

Energy‐efficient resource allocation over wireless communication systems through deep reinforcement learning

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