Enabling Indoor Mobile Millimeter-wave Networks Based on Smart Reflect-arrays
By Xin Tan, Zhi Sun, Dimitrios Koutsonikolas, Josep Miquel Jornet. IEEE Conference on Computer Communications, 2018
299 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/3b3a62fff4cf87194330d690ba5674845d098901
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In Electrical and Electronic Engineering
- Rui Zhang
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Citations in the corpus
- Intelligent Reflecting Surface Meets OFDM: Protocol Design and Rate Maximization (2019, background): “Existing works on IRS [5]–[8], [13] mainly assume perfect channel state information (CSI) at the base station (BS)/IRS, based on which the design parameters are optimized to enhance the system performance.”
- Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead (2020, background): “In [285] and [286] the authors report the design of a smart”
- Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network (2019, methodology): “Motivated by the above, intelligent reflecting surface (IRS) has been recently proposed as a promising new technology for reconfiguring the wireless propagation environment via software-controlled reflection [3]–[6].”
- Large Intelligent Surface/Antennas (LISA): Making Reflective Radios Smart (2019, methodology): “Besides, since the line-of-sight (LoS) signal may be blocked by the obstacles in millimeter-wave (mmWave) communication, the LISA with 60 GHz reflective arrays was implemented to establish robust mmWave connections in [37] , where a three-party beamsearching protocol and the optimal array deployment”
- Intelligent Reflecting Surface-Aided Wireless Communications: A Tutorial (2020, background): “These critical issues can be efficiently resolved by properly deploying IRSs in mmWave systems to create virtual LoS channels between the BS/AP and users through smart reflections of the IRSs, which can bypass the main obstructors between them, thus achieving both high spectral and energy efficienci”
- Beamforming Optimization for Intelligent Reflecting Surface with Discrete Phase Shifts (2018, methodology): “Although [6, 7] considered the use of finite-level phase shifters for IRS, the optimal phase shifts at all elements were obtained by exhaustive search, which, however, is computationally prohibitive for practical IRS with a large number of elements.”
- Secrecy Rate Maximization for Intelligent Reflecting Surface Assisted Multi-Antenna Communications (2019, background): “I NTELLIGENT reflecting surface (IRS), which consists of a large number of low-cost passive reflecting elements with adjustable phase shifts, has recently been advocated as a cost-effective solution to significantly enhance the performance of wireless communications [1], [2].”
- 6G and Beyond: The Future of Wireless Communications Systems (2020, methodology): “Among others, in [54], researchers reported a smart reflectarray-assisted mmWave system compatible with IEEE 802.”
- Beamforming Optimization for Wireless Network Aided by Intelligent Reflecting Surface With Discrete Phase Shifts (2019, background): “mirror [9], [10], smart reflect-array [11], and reconfigurable metasurface [12], among others.”
- Intelligent Reflecting Surface: A Programmable Wireless Environment for Physical Layer Security (2019, background): “Moreover, since achieving continuous reflecting coefficients on the reflecting elements is costly in practice due to the hardware limitation, the SNR maximization problem and transmitter power minimization problem were studied in [18]–[20] by considering discrete reflecting coefficients on the refle”
- Reconfigurable Intelligent Surfaces for Wireless Communications: Principles, Challenges, and Opportunities (2020, methodology): “Recent works have shown the potential of RISs in pointto-point channels [7], [13], [31]–[42], downlink broadcast channels [43]–[52], uplink multiple access channels [53]–[56],”
- Enabling Large Intelligent Surfaces With Compressive Sensing and Deep Learning (2019, methodology): “, using nearly-passive elements such as analog phase shifters [4]–[6].”
- Channel Estimation and Low-complexity Beamforming Design for Passive Intelligent Surface Assisted MISO Wireless Energy Transfer (2019, methodology): “indoor implementations of PIS include conventional liquid crystal meta-surfaces fabricated via lithography and nanoprinting methods for multiantenna relaying [8], or employing software defined metamaterials [9] as reflect-arrays for supporting nanonetworks applications [10].”
- Toward Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey (2019, methodology): “Reference [81] implements a 60 GHz reconfigurable reflect-arrays to assist IEEE 802.11ad-based mmWave communications, creating additional reflection links when there exist no line-of-sight (LOS) links.”
- Double-IRS Assisted Multi-User MIMO: Cooperative Passive Beamforming Design (2020, background): “, bypassing the obstructions [5]), which is fundamentally different from the existing transmission techniques that can only adapt to but have no control over the random wireless channels.”
- Intelligent Reflecting Surface-Assisted Multi-User MISO Communication: Channel Estimation and Beamforming Design (2020, background): “Several current research activities focus on developing different converging solutions to implement these IRSs, including fabricating new meta-surfaces and reflect arrays, making them re-configurable, implementing testbeds and generating experimental results [2], [6]–[12].”
- Asymptotic Max-Min SINR Analysis of Reconfigurable Intelligent Surface Assisted MISO Systems (2019, methodology): “The authors in [10] designed a reconfigurable reflect-array and studied its role in establishing robust mmWave connections in indoor scenarios where the direct links are blocked.”