# Programmable Metasurface Based Multicast Systems: Design and Analysis

Journal article

Zhu, Y (2020). Programmable Metasurface Based Multicast Systems: Design and Analysis.

*IEEE Journal on Selected Areas in Communications.*

Authors | Zhu, Y |
---|---|

Abstract | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This paper considers a multi-antenna multicast system with programmable metasurface (PMS) based transmitter. Taking into account of the finite-resolution phase shifts of PMSs, a novel beam training approach is proposed, which achieves comparable performance as the exhaustive beam searching method but with much lower time overhead. Then, a closed-form expression for the achievable multicast rate is presented, which is valid for arbitrary system configurations. In addition, for certain asymptotic scenario, simple approximated expressions for the multicase rate are derived. Closed-form solutions are obtained for the optimal power allocation scheme, and it is shown that equal power allocation is optimal when the pilot power or the number of reflecting elements is sufficiently large. However, it is desirable to allocate more power to weaker users when there are a large number of RF chains. The analytical findings indicate that, with large pilot power, the multicast rate is determined by the weakest user. Also, increasing the number of radio frequency (RF) chains or reflecting elements can significantly improve the multicast rate, and as the phase shift number becomes larger, the multicast rate improves first and gradually converges to a limit. Moreover, increasing the number of users would significantly degrade the multicast rate, but this rate loss can be compensated by implementing a large number of reflecting elements. |

Keywords | Programmable metasurface; multicast systems; channel estimation |

Year | 2020 |

Journal | IEEE Journal on Selected Areas in Communications |

Publisher | Institute of Electrical and Electronics Engineers |

ISSN | 0733-8716 |

Digital Object Identifier (DOI) | doi:10.1109/JSAC.2020.3000809 |

Publication dates | |

Print | 08 Jun 2020 |

Publication process dates | |

Accepted | 18 Feb 2020 |

Deposited | 09 Jun 2020 |

Accepted author manuscript | License CC BY 4.0 File Access Level Open |

https://openresearch.lsbu.ac.uk/item/89yx2

## Download files

###### Accepted author manuscript

final.pdf | |

License: CC BY 4.0 | |

File access level: Open |

##### 3

total views##### 1

total downloads##### 0

views this month##### 0

downloads this month

## Export as

## Related outputs

##### Stochastic Geometry Analysis of Large Intelligent Surface-Assisted Millimeter Wave Networks

Zhu, Y (2020). Stochastic Geometry Analysis of Large Intelligent Surface-Assisted Millimeter Wave Networks.*IEEE Journal on Selected Areas in Communications.*

##### Spectrum and Energy Efficiency in Dynamic UAV-Powered Millimeter Wave Networks

Zhu, Y and Tasos, D (2020). Spectrum and Energy Efficiency in Dynamic UAV-Powered Millimeter Wave Networks.*IEEE Communications Letters.*

##### Incomplete Information based Collaborative Computing in Emergency Communication Networks

Wang, Q, Zhu, Y and Wang, X (2020). Incomplete Information based Collaborative Computing in Emergency Communication Networks.*IEEE Communications Letters.*

##### Achievable Rate and Capacity Analysis for Ambient Backscatter Communications

Qian, J, Zhu, Y, He, C, Gao, F and Jin, S (2019). Achievable Rate and Capacity Analysis for Ambient Backscatter Communications.*IEEE Transactions on Communications.*67 (9), pp. 6299-6310.

##### On the Uplink Achievable Rate of Massive MIMO System with Low-Resolution ADC and RF Impairments

Xu, L, Lu, X, Jin, S, Gao, F and Zhu, Y (2019). On the Uplink Achievable Rate of Massive MIMO System with Low-Resolution ADC and RF Impairments.*IEEE Communications Letters.*23 (3), pp. 502-505.

##### Deep Learning Empowered Task Offloading for Mobile Edge Computing in Urban Informatics

Zhang, K, Zhu, Y, Leng, S, He, Y, Maharjan, S and Zhang, Y (2019). Deep Learning Empowered Task Offloading for Mobile Edge Computing in Urban Informatics.*IEEE Internet of Things Journal.*6 (5), pp. 7635-7647.

##### A Deep Learning Framework for Optimization of MISO Downlink Beamforming

Xia, W, Zheng, G, Zhu, Y, Zhang, J, Wang, J and Petropulu, AP (2019). A Deep Learning Framework for Optimization of MISO Downlink Beamforming.*IEEE Transactions on Communications.*68 (3), pp. 1866 - 1880.

##### Secrecy Rate Analysis of UAV-Enabled mmWave Networks Using Matérn Hardcore Point Processes

Zhu, Y, Zheng, G and Fitch, M (2018). Secrecy Rate Analysis of UAV-Enabled mmWave Networks Using Matérn Hardcore Point Processes.*IEEE Journal on Selected Areas in Communications.*36 (7), pp. 1397-1409.

##### Content Placement in Cache-Enabled Sub-6 GHz and Millimeter-Wave Multi-Antenna Dense Small Cell Networks

Zhu, Y., Zheng, G., Wang, L., Wong, K-K. and Zhao, L. (2018). Content Placement in Cache-Enabled Sub-6 GHz and Millimeter-Wave Multi-Antenna Dense Small Cell Networks.*IEEE Transactions on Wireless Communications.*17 (5), pp. 2843-2856.

##### A Novel Optimal Mapping Algorithm With Less Computational Complexity for Virtual Network Embedding

Cao, H, Zhu, Y, Zheng, G and Yang, L (2018). A Novel Optimal Mapping Algorithm With Less Computational Complexity for Virtual Network Embedding.*IEEE Transactions on Network and Service Management.*15 (1), pp. 356-371.

##### Performance Analysis of Cache-Enabled Millimeter Wave Small Cell Networks

Zhu, Y., Zheng, G., Wong, K-K., Jin, S. and Lambotharan, S. (2018). Performance Analysis of Cache-Enabled Millimeter Wave Small Cell Networks.*IEEE Transactions on Vehicular Technology.*67 (7), pp. 6695-6699.

##### A Efficient Mapping Algorithm With Novel Node-Ranking Approach for Embedding Virtual Networks

Cao, H, Zhu, Y, Yang, L and Zheng, G (2017). A Efficient Mapping Algorithm With Novel Node-Ranking Approach for Embedding Virtual Networks.*IEEE Access.*5, pp. 22054-22066.

##### Secure Communications in Millimeter Wave Ad Hoc Networks

Zhu, Yongxu, Wang, Lifeng, Wong, Kai-Kit and Heath, Robert W (2017). Secure Communications in Millimeter Wave Ad Hoc Networks.*IEEE Transactions on Wireless Communications.*16 (5), pp. 3205-3217.

##### Wireless Power Transfer in Massive MIMO-Aided HetNets With User Association

Zhu, Y., Wang, L., Wong, K-K., Jin, S. and Zheng, Z. (2016). Wireless Power Transfer in Massive MIMO-Aided HetNets With User Association.*IEEE Transactions on Communications.*64 (10), pp. 4181-4195.

##### Geometric Power Control for Time-Switching Energy-Harvesting Two-User Interference Channel

Zhu, Yongxu, Wong, Kai-Kit, Zhang, Yangyang and Masouros, Christos (2016). Geometric Power Control for Time-Switching Energy-Harvesting Two-User Interference Channel.*IEEE Transactions on Vehicular Technology.*65 (12), pp. 9759-9772.