Robust Beamforming for Wireless Information and Power Transmission

Xiang, Zhengzheng; Tao, Meixia

doi:10.1109/wcl.2012.053112.120212

Cited by 354 publications

(248 citation statements)

References 17 publications

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“…Indeed, EM waves can carry both information and power/energy simultaneously [6]- [9]. The utilization of this characteristic of EM waves imposes many new challenges for wireless communication engineers.…”

mentioning

confidence: 99%

“…However, [6] and [7] assumed a theoretical receiver, which is able to decode information and extract power from the same received signal but is not yet available in practice. In [8] and [9], the authors proposed different power allocation schemes for multiple antenna two-user narrowband systems by separating the process of information decoding and energy harvesting into two receivers. However, if a multicarrier system with an arbitrary number of users is considered, the results in [8] and [9] which are valid for single-carrier transmission, may no longer be applicable.…”

mentioning

confidence: 99%

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Energy-efficient resource allocation in multiuser OFDM systems with wireless information and power transfer

Lo²,

Schober

2013

2013 IEEE Wireless Communications and Networking Conference (WCNC)

106

105

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Abstract-In this paper, we study the resource allocation algorithm design for multiuser orthogonal frequency division multiplexing (OFDM) downlink systems with simultaneous wireless information and power transfer. The algorithm design is formulated as a non-convex optimization problem for maximizing the energy efficiency of data transmission (bit/Joule delivered to the users). In particular, the problem formulation takes into account the minimum required system data rate, heterogeneous minimum required power transfers to the users, and the circuit power consumption. Subsequently, by exploiting the method of timesharing and the properties of nonlinear fractional programming, the considered non-convex optimization problem is solved using an efficient iterative resource allocation algorithm. For each iteration, the optimal power allocation and user selection solution are derived based on Lagrange dual decomposition. Simulation results illustrate that the proposed iterative resource allocation algorithm achieves the maximum energy efficiency of the system and reveal how energy efficiency, system capacity, and wireless power transfer benefit from the presence of multiple users in the system.

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mentioning

confidence: 99%

mentioning

confidence: 99%

Energy-efficient resource allocation in multiuser OFDM systems with wireless information and power transfer

Lo²,

Schober

2013

2013 IEEE Wireless Communications and Networking Conference (WCNC)

106

105

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“…Currently, scholars throughout the world have paid much attention to decrease the transmission power by focusing on the transmitter design, receiver design, and transmitter and receiver joint design [10]. Transmitter design involves beamforming, user selection, and power control [11][12][13]. Receiver design studies the RF signal receiving modes, such as power splitting (PS) mode and time switching (TS) mode [14,15].…”

Section: Introductionmentioning

confidence: 99%

A novel joint transmit beamforming and receive time switching strategy for MISO SWIPT system

Wang

et al. 2018

J Wireless Com Network

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In multi-antenna simultaneous wireless information and power transfer (SWIPT) system, beamforming strategy has been widely analyzed due to the increasing signal strength. It can not only increase the signal strength in the direction of the antenna array but also reduce the interference strength, which is a good option for SWIPT system to achieve directional transmission of information and energy. However, the traditional beamforming strategy only uses single beamforming vector, and it does not consider the differences between information and energy in SWIPT system. Actually, interference can also be collected as energy. Based on the traditional beamforming strategy, the resources in SWIPT system are not properly utilized. Therefore, this paper proposes a joint beamforming strategy in multi-input and single-output (MISO) SWIPT system. We extend the traditional single beamforming vector into two beamforming vectors to realize independent control of information and energy based on time switching (TS) receiving mode. In information receiving phase, information beamforming vector is used to carry specific user's information for information alignment. Since there is an orthogonal relationship between information beamforming vector and channel gain vector, we can achieve to eliminate interference and realize error-free information transmission. In energy receiving phase, energy beamforming vector is used to carry user's energy. Energy beamforming vector and channel gain vector do not require the orthogonality so that the interference can also be collected as energy. In this paper, we model it as a transmission power optimization (TPO) problem, which is a complex non-convex problem. We firstly transform it into a convex problem, and then, it can be solved using CVX toolbox. Simulation results show that the proposed strategy could increase the energy collection at the same transmission power and also decrease the transmission power at the same energy collection.

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“…This topic has attracted great attention in both academia and industry recently [3]. Most research works on SWIPT systems aim to maximize the rate or the harvested energy, or otherwise achieve a certain rate-energy balance.…”

Section: Introduction Energy Harvesting (Eh) Is Considered a Promimentioning

confidence: 99%

Energy Efficient Resource Allocation for MIMO SWIPT Broadcast Channels

Tang

Shojaeifard

et al. 2017

2017 IEEE 85th Vehicular Technology Conference (VTC Spring)

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Abstract-In this paper, we address the energy efficiency (EE) optimization problem for SWIPT multiple-input multiple-output broadcast channel (MIMO-BC) with time-switching (TS) receiver design. Our aim is to maximize the EE of the system whilst satisfying certain constraints in terms of maximum transmit power and minimum harvested energy per user. The coupling of the optimization variables, namely, transmit covariance matrices and TS ratios, leads to a EE problem which is non-convex, and hence very difficult to solve directly. Hence, we transform the original maximization problem with multiple constraints into a min-max problem with a single constraint and multiple auxiliary variables. We propose a dual inner/outer layer resource allocation framework to tackle the problem. For the inner-layer, we invoke an extended SWIPT-based BC-multiple access channel (MAC) duality approach and provide an iterative resource allocation scheme under fixed auxiliary variables for solving the dual MAC problem. A sub-gradient searching scheme is then proposed for the outer-layer in order to obtain the optimal auxiliary variables. Numerical results confirm the effectiveness of the proposed algorithms and illustrate that significant performance gain in terms of EE can be achieved by adopting the proposed extended BC-MAC duality-based algorithm.

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Robust Beamforming for Wireless Information and Power Transmission

Cited by 354 publications

References 17 publications

Energy-efficient resource allocation in multiuser OFDM systems with wireless information and power transfer

Energy-efficient resource allocation in multiuser OFDM systems with wireless information and power transfer

A novel joint transmit beamforming and receive time switching strategy for MISO SWIPT system

Energy Efficient Resource Allocation for MIMO SWIPT Broadcast Channels

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