Weighted Sum Power Maximization for Intelligent Reflecting Surface Aided SWIPT
By Qingqing Wu, Rui Zhang. IEEE Wireless Communications Letters, 2019
412 citations recorded by the source corpus.
The low efficiency of far-field wireless power transfer (WPT) limits the fundamental rate-energy (R-E) performance trade-off of the simultaneous wireless information and power transfer (SWIPT) system. To address this challenge, we propose in this letter a new SWIPT system aided by the emerging intelligent reflecting surface (IRS) technology. By leveraging massive low-cost passive elements that are able to reflect the signals with adjustable phase shifts, IRS achieve a high passive beamforming gain, which is appealing for drastically enhancing the WPT efficiency and thereby the R-E trade-off of SWIPT systems. We consider an IRS being deployed to assist a multi-antenna access point (AP) to serve multiple information decoding receivers (IDRs) and energy harvesting receivers (EHRs). We aim to maximize the weighted sum-power received by EHRs via jointly optimizing the transmit precoders at the AP and reflect phase shifts at the IRS, subject to the individual signal-to-interference-plus-noise ratio (SINR) constraints for IDRs. Since this problem is non-convex, we propose efficient algorithms to obtain suboptimal solutions for it. In particular, we prove that it is sufficient to send information signals only at the AP to serve both IDRs and EHRs regardless of their channel realizations. Moreover, simulation results show significant performance gains achieved by our proposed designs over benchmark schemes.
Subfields: Electrical and Electronic Engineering, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/9fc65a1ccc0563fcbf9c48c6edfe5ea929d639ee
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Electrical and Electronic Engineering
- Rui Zhang
- Robert Schober
- Qingqing Wu
- Yuanwei Liu
- Merouane Debbah
- Changsheng You
- M. Di Renzo
- Xidong Mu
In Ocean Engineering
- Rui Zhang
- Qingqing Wu
- Changsheng You
- Yuanwei Liu
- Shuowen Zhang
- Xidong Mu
- Beixiong Zheng
- Robert Schober
Citations in the corpus
- Weighted Sum-Rate Maximization for Reconfigurable Intelligent Surface Aided Wireless Networks (2019, background): “, wireless power transfer [8], [9], physical layer security [10]–[12], cognitive radio network [13], etc.”
- Holographic MIMO Communications: Theoretical Foundations, Enabling Technologies, and Future Directions (2022, background): “Building up WPT and WEH capabilities, passive HMIMOS assisted SWIPT systems are particularly investigated [268], [269], in which different”
- Beamforming Optimization for Wireless Network Aided by Intelligent Reflecting Surface With Discrete Phase Shifts (2019, background): “The joint active and passive beamforming design was also investigated in other system setups, e.g., physical layer security [17], [20]–[22], simultaneous wireless information and power transfer (SWIPT) [23]–[26], and non-orthogonal multiple access [27], [28].”
- Modeling and Architecture Design of Reconfigurable Intelligent Surfaces Using Scattering Parameter Network Analysis (2020, background): “Furthermore, RIS has also been investigated to provide performance enhancement in orthogonal frequency division multiplexing (OFDM) [12], [13], non-orthogonal multiple access (NOMA) [14], and emerging areas such as secure wireless communication [15], backscatter communication [16], simultaneous wire”
- Joint Active and Passive Beamforming Optimization for Intelligent Reflecting Surface Assisted SWIPT Under QoS Constraints (2019, methodology): “One commonly used method is to apply the alternating optimization to (P1) by iteratively optimizing each of the transmit precoders and phase shifts with the other being fixed, as in [9]–[14], [16], [21], [24], [25].”
- Toward Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey (2019, methodology): “Considering multiple ERs, the authors in [181] maximize the weighted sum power at the ERs by jointly optimizing the BS’s transmit beamforming and the IRS’s phase shifts.”
- Capacity Characterization for Intelligent Reflecting Surface Aided MIMO Communication (2019, methodology): “Furthermore, IRS has been jointly designed with other existing technologies, such as non-orthogonal multiple access (NOMA) [21]–[23], physical-layer security [24]–[28], and simultaneous wireless information and power transfer (SWIPT) [29], [30].”
- Intelligent Reflecting Surface-Assisted Multi-User MISO Communication: Channel Estimation and Beamforming Design (2020, methodology): “Moreover the use of IRS to maximize the minimum secrecy rate for physical layer security has been studied in [19] and to assist in simultaneous wireless information and power transfer has been studied in [20].”
- An Overview of Signal Processing Techniques for RIS/IRS-Aided Wireless Systems (2021, neutral): “cell systems [107], [152], [153], physical layer security systems [89], [93], [94], [103], [104], [154], [155], simultaneous wireless information and power transfer (SWIPT) [105], [114], [119], [156]–[160], mobile edge computing networks [80], [117], [161]–[166], multicast networks [102], [167], cog”
- Reconfigurable Intelligent Surfaces: Principles and Opportunities (2020, methodology): “Additionally, an RIS can be deployed to strengthen the received signal power of cell-edge users and mitigating interferences from neighbor cells [18], while the significant power loss over long distances can also be compensated in simultaneous wireless information and power transfer (SWIPT) networks”
- Intelligent Reflecting Surface-Aided Wireless Communications: A Tutorial (2020, background): “Moreover, the improvement of wireless charging efficiency in turn helps reduce the transmit power as well as provide more flexibility in designing the transmit beamforming for information receivers and thus improves both the rate and energy performance in SWIPT systems [66], [128]–[130].”
- A Comprehensive Overview on 5G-and-Beyond Networks With UAVs: From Communications to Sensing and Intelligence (2020, background): “the future sixth-generation (6G) ecosystem [98], [110], [111] and studied in various system setups [112]–[121].”