Simultaneous Wireless Information and Power Transfer in Cellular Two-Way Relay Networks With Massive MIMO

Fang, Zhaoxi; Wu, Yaohui; Lu, Yingzhi; Hu, Jian; Peng, Tao; Ye, Jing

doi:10.1109/access.2018.2834534

Cited by 13 publications

(16 citation statements)

References 20 publications

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“…Special Case (Blind AEH-relaying): We assume that R 1 and R 2 perform AEH which corresponds to a practical scenario where the relay nodes are equipped with a battery. Under this assumption, (7) which represents the power available at the n-th relay at the end of Phase-1 is written as P r,n = η n θ n P s L sr,n .…”

Section: Csi-assisted Relayingmentioning

confidence: 99%

Performance Analysis of SWIPT Relaying Systems in the Presence of Impulsive Noise

et al. 2018

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performance. In a SWIPT-enabled system, a wireless node is powered up by a received Radio Frequency (RF) signal and, simultaneously, information processing is carried out using the same signal [2].SWIPT-based relaying was proposed as a promising technique to provide advantages in two fold. First, the network itself can benefit from the relays in throughput improvement, communication reliability enhancement, and coverage range extension. Second, the harvested energy can be used to charge the relay nodes, and therefore, the overall power consumption of the network may be considerably reduced [3], [4]. From this perspective, the theoretical and implementation aspects of SWIPT relay networks have been areas of active research interest (see [5]-[8] and the references therein).Although there has been a growing literature on SWIPT, particularly in the context of relay networks (see e.g., [5]-[8] and the references therein), all research studies were based upon the classical assumption of additive white Gaussian noise (AWGN). However, many communication channels are additionally impaired by impulsive man-made electromagnetic interference or atmospheric noise encountered in various metropolitan and indoor wireless applications, such as, automotive ignition, electronic devices, household appliances, medical equipment, and industrial equipment.[9]- [11]. A practical foreseen scenario of such a situation is future IoTs, for instance, where nodes can be implanted in environments that are susceptible to impulsive noise such as in industrial locations or in fields close to power lines. Although these nodes are envisioned to be powered by RF energy through SWIPT to achieve advantages, such as, dual use of RF signals for information and power transfer, extended network lifetime, etc., their performance in terms of error rate is not yet studied when impulsive noise is considered. Nonetheless, it is considered as a prevalent source of performance degradation. It has been demonstrated in [12] that communication systems designed under the AWGN assumption typically suffer from severe performance degradations when exposed to impulsive noise. This elevates the need for studying the performance of SWIPT systems, which are not only disturbed by multipath fading, but also by impulsive (non-Gaussian) noise, in order to provide pragmatic information for the system designer.Several statistical models have been proposed to approximate the behaviour of impulsive noise, such as Bernoulli-Gauss [13], the symmetric alpha stable distribution [14], and the Middleton's models [15], [16]. However, Middleton's models have been widely accepted to model the effects of impulse noise in communication systems due to its accuracy

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Section: Csi-assisted Relayingmentioning

confidence: 99%

Performance Analysis of SWIPT Relaying Systems in the Presence of Impulsive Noise

et al. 2018

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“…In addition, to improve the energy efficiency (EE), the simultaneous wireless information and power transfer (SWIPT), i.e., both information and energy can be extracted from the same received RF signals, has also attracted great interests [4]- [7]. [4] investigated the power allocation and the power-splitting ratio optimization problem to maximize secure rate.…”

Section: Introductionmentioning

confidence: 99%

“…Then, a low-complexity zero forcing (ZF) beamforming algorithm is proposed. The authors in [7] first analyzed the performance of the proposed signal space alignment SWIPT scheme, and then investigated the optimal power splitting ratio to maximize the achievable sum rate.…”

Section: Introductionmentioning

confidence: 99%

Beamforming Design in SWIPT-Based Joint Multicast-Unicast mmWave Massive MIMO With Lens-Antenna Array

Hao

Sun

Chu

et al. 2019

IEEE Wireless Commun. Lett.

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In this letter, we study the beamforming design in a lens-antenna array-based joint multicast-unicast millimeter wave massive MIMO system, where the simultaneous wireless information and power transfer at users is considered. First, we develop a beam selection scheme based on the structure of the lens-antenna array and then, the zero forcing precoding is adopted to cancel the inter-unicast interference among users. Next, we formulate a sum rate maximization problem by jointly optimizing the unicast power, multicast beamforming and power splitting ratio. Meanwhile, the maximum transmit power constraint for the base station and the minimum harvested energy for each user are imposed. By employing the successive convex approximation technique, we transform the original optimization problem into a convex one, and propose an iterative algorithm to solve it. Finally, simulation results are conducted to verify the effectiveness of the proposed schemes.

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“…Resource allocation for WPT-enabled massive MIMO networks has been studied in [8,9,10,11,12,13]. The performance of WPT in mmWave massive MIMO networks was studied in [8] under rainy or clear conditions.…”

Section: Introductionmentioning

confidence: 99%

“…In [9], the overall power transfer efficiency (PTE) and the EE were optimized for a WPT-enabled massive MIMO, where a BS transmitted power to multiple single antenna energy, harvesting users with a massive antenna array. In [10], Fang et al investigated an energy-harvesting cellular two-way relay network with massive MIMO, and proposed a signal space alignment (SSA)-based simultaneous wireless information and power transfer (SWIPT) protocol. In [11], Lee et al investigated the low-complexity WPT scheme based on the retrodirective beamforming technique in a multi-user massive MIMO WPT system.…”

Section: Introductionmentioning

confidence: 99%

Price-Based Resource Allocation in Wireless Power Transfer-Enabled Massive MIMO Networks

Wang

Huang

Yang

et al. 2019

Sensors

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This paper considers the price-based resource allocation problem for wireless power transfer (WPT)-enabled massive multiple-input multiple-output (MIMO) networks. The power beacon (PB) can transmit energy to the sensor nodes (SNs) by pricing their harvested energy. Then, the SNs transmit their data to the base station (BS) with large scale antennas by the harvesting energy. The interaction between PB and SNs is modeled as a Stackelberg game. The revenue maximization problem of the PB is transformed into the non-convex optimization problem of the transmit power and the harvesting time of the PB by backward induction. Based on the equivalent convex optimization problem, an optimal resource allocation algorithm is proposed to find the optimal price, energy harvesting time, and power allocation for the PB to maximize its revenue. Finally, simulation results show the effectiveness of the proposed algorithm.

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Simultaneous Wireless Information and Power Transfer in Cellular Two-Way Relay Networks With Massive MIMO

Cited by 13 publications

References 20 publications

Performance Analysis of SWIPT Relaying Systems in the Presence of Impulsive Noise

Performance Analysis of SWIPT Relaying Systems in the Presence of Impulsive Noise

Beamforming Design in SWIPT-Based Joint Multicast-Unicast mmWave Massive MIMO With Lens-Antenna Array

Price-Based Resource Allocation in Wireless Power Transfer-Enabled Massive MIMO Networks

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