Multiuser MISO Beamforming for Simultaneous Wireless Information and Power Transfer

By Jie Xu, Liang Liu, Rui Zhang. IEEE Transactions on Signal Processing, 2013

532 citations recorded by the source corpus.

This paper studies a multiuser multiple-input single-output (MISO) broadcast simultaneous wireless information and power transfer (SWIPT) system, where a multi-antenna access point (AP) sends wireless information and energy simultaneously via spatial multiplexing to multiple single-antenna receivers each of which implements information decoding (ID) or energy harvesting (EH). We aim to maximize the weighted sum-power transferred to all EH receivers subject to given minimum signal-to-interference-and-noise ratio (SINR) constraints at different ID receivers. In particular, we consider two types of ID receivers (referred to as Type I and Type II, respectively) without or with the capability of cancelling the interference from (a priori known) energy signals. For each type of ID receivers, we formulate the joint information and energy transmit beamforming design as a nonconvex quadratically constrained quadratic program (QCQP). First, we obtain the globally optimal solutions for our formulated QCQPs by applying an optimization technique so-called semidefinite relaxation (SDR). It is shown via SDR that under the condition of independently distributed user channels, no dedicated energy beam is used for the case of Type I ID receivers to achieve the optimal solution; while for the case of Type II ID receivers, employing no more than one energy beam is optimal. Next, we establish a new form of the celebrated uplink-downlink duality for our studied downlink beamforming problems, and thereby develop alternative algorithms to obtain the same optimal solutions as by SDR. Finally, numerical results are provided to evaluate the performance of proposed optimal beamforming designs for MISO SWIPT systems.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/ebe97e8bd977451366b54d5be63c0f6158893df2

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Citations in the corpus

Secrecy wireless information and power transfer with MISO beamforming (2013, background): “It is worth noting that in [6], a similar MISO SWIPT system as in this paper has been studied, but without the secret information transmission.”
Intelligent Reflecting Surface Aided MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer (2019, methodology): “Hence, for simplicity, we adopt the simple linear EH model as widely used in the existing literature [29], [37], [38].”
Rate-Splitting Multiple Access: Fundamentals, Survey, and Future Research Trends (2022, background): “signal is needed for each energy receiver to guarantee its harvested power [177] if energy receivers and information receivers are separated.”
Throughput Optimization for Massive MIMO Systems Powered by Wireless Energy Transfer (2014, background): “SWIPT has also been studied in fading channels [6], orthogonal frequency division multiplexing (OFDM) systems [7]–[10], and multiuser channel setups such as broadcast channels [11], [12], relay channels [13], [14], and interference channels [15], [16].”
Robust Beamforming for Secure Communication in Systems With Wireless Information and Power Transfer (2013, background): “Transmitting an energy signal along with the information signal was proposed in [8] for expediting energy harvesting at the receivers.”
A Tutorial on Near-Field XL-MIMO Communications Toward 6G (2023, unknown): “…result was revealed that for mixed-ﬁeld SWIPT, the energy-harvesting user located in the near-ﬁeld should always be scheduled to maximize the harvested sum-power, which is in sharp contrast with the convention far-ﬁeld SWIPT, for which only information-decoding users are scheduled [171].”
Wireless Information and Power Transfer in Multiuser OFDM Systems (2013, background): “SWIPT for multi-antenna systems has been considered in [1], [4]–[6].”
Joint Transmit Beamforming and Receive Power Splitting for MISO SWIPT Systems (2013, background): “We focus our study on PS receivers instead of TS receivers in [7], [8], such that each MS can receive both information and energy from the BS continuously at all time.”
Fundamentals of Wireless Information and Power Transfer: From RF Energy Harvester Models to Signal and System Designs (2018, methodology): “In this case, since v j = 0 , ∀ j , under the optimal solution [25], the received signals at the information and energy receivers given in (59) and (60) respectively reduce to Under the above model, for IR k , its signal-to-interference-plus-noise ratio (SINR) to decode the message s ID k is where…”
Weighted Sum Power Maximization for Intelligent Reflecting Surface Aided SWIPT (2019, background): “Proposition 1 extends the result in [2] by showing that even if the users’ channels are not statistically independent, sending information signals only is sufficient for achieving the maximum weighted sum-power at EHRs.”
Joint Active and Passive Beamforming Optimization for Intelligent Reflecting Surface Assisted SWIPT Under QoS Constraints (2019, methodology): “Since energy beams carry no information but instead pseudorandom signals whose waveforms can be assumed to be known at both the AP and each IU before data transmission, we assume that their caused interference can be cancelled at each IU, similarly as in [29].”
UAV-Enabled Wireless Power Transfer: Trajectory Design and Energy Optimization (2017, background): “In the literature, various approaches have been proposed aiming to alleviate this issue by enhancing the WPT efficiency at the link level, including multi-antenna energy beamforming [6]–[12], energy scheduling [13], [14], and energy waveform optimization [15], [16].”
Wireless powered communication: opportunities and challenges (2014, background): “For instance, the TS Rx 1 in Fig.”