Joint Design of Transmitter Precoding and Optical Intelligent Reflecting Surface Configuration for Photon-Counting MIMO Systems Under Poisson Shot Noise
Intelligent reflecting surfaces (IRSs) have emerged as a promising technology to enhance link reliability in a cost-effective manner, especially for line-of-sight (LOS) link blocking caused by obstacles. In this paper, we investigate an IRS-assisted single-cell photon-counting communication system i...
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2024-12-01
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| author | Jian Wang Xiaolin Zhou Fanghua Li Yongkang Chen Chaoyi Cai Haoze Xu |
| author_facet | Jian Wang Xiaolin Zhou Fanghua Li Yongkang Chen Chaoyi Cai Haoze Xu |
| author_sort | Jian Wang |
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| description | Intelligent reflecting surfaces (IRSs) have emerged as a promising technology to enhance link reliability in a cost-effective manner, especially for line-of-sight (LOS) link blocking caused by obstacles. In this paper, we investigate an IRS-assisted single-cell photon-counting communication system in the presence of building shadows, where one IRS is deployed to assist the communication between a multi-antenna base station (BS) and multiple single-antenna users. Photon counting has been widely adopted in sixth-generation (6G) optical communications due to its exceptional detection capability for low-power optical signals. However, the correlation between signal and noise complicates analyses. To this end, we first derive the channel gain of the IRS-assisted MIMO system, followed by the derivation of the mean square error (MSE) of the system using probabilistic methods. Given the constraints of the transmit power and IRS configuration, we propose an optimization problem aimed at minimizing the MSE of the system. Next, we present an alternating optimization (AO) algorithm that transforms the original problem into two convex subproblems and analyze its convergence and complexity. Finally, numerical results demonstrate that the IRS-assisted scheme significantly reduces the MSE and bit error rate (BER) of the system, outperforming other baseline schemes. |
| format | Article |
| id | doaj-art-1e4df0fa4b034049ac973ea5b997bc64 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
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| series | Applied Sciences |
| spelling | doaj-art-1e4df0fa4b034049ac973ea5b997bc642024-12-27T14:09:02ZengMDPI AGApplied Sciences2076-34172024-12-0114241199410.3390/app142411994Joint Design of Transmitter Precoding and Optical Intelligent Reflecting Surface Configuration for Photon-Counting MIMO Systems Under Poisson Shot NoiseJian Wang0Xiaolin Zhou1Fanghua Li2Yongkang Chen3Chaoyi Cai4Haoze Xu5School of Information Science and Technology, Fudan University, Shanghai 200433, ChinaSchool of Information Science and Technology, Fudan University, Shanghai 200433, ChinaSchool of Information Science and Technology, Fudan University, Shanghai 200433, ChinaCollege of Information Engineering, Shanghai Maritime University, Shanghai 201306, ChinaSchool of Information Science and Technology, Fudan University, Shanghai 200433, ChinaSchool of Information Science and Technology, Fudan University, Shanghai 200433, ChinaIntelligent reflecting surfaces (IRSs) have emerged as a promising technology to enhance link reliability in a cost-effective manner, especially for line-of-sight (LOS) link blocking caused by obstacles. In this paper, we investigate an IRS-assisted single-cell photon-counting communication system in the presence of building shadows, where one IRS is deployed to assist the communication between a multi-antenna base station (BS) and multiple single-antenna users. Photon counting has been widely adopted in sixth-generation (6G) optical communications due to its exceptional detection capability for low-power optical signals. However, the correlation between signal and noise complicates analyses. To this end, we first derive the channel gain of the IRS-assisted MIMO system, followed by the derivation of the mean square error (MSE) of the system using probabilistic methods. Given the constraints of the transmit power and IRS configuration, we propose an optimization problem aimed at minimizing the MSE of the system. Next, we present an alternating optimization (AO) algorithm that transforms the original problem into two convex subproblems and analyze its convergence and complexity. Finally, numerical results demonstrate that the IRS-assisted scheme significantly reduces the MSE and bit error rate (BER) of the system, outperforming other baseline schemes.https://www.mdpi.com/2076-3417/14/24/11994intelligent reflecting surfaceprecodingmulti-userPoisson shot noise |
| spellingShingle | Jian Wang Xiaolin Zhou Fanghua Li Yongkang Chen Chaoyi Cai Haoze Xu Joint Design of Transmitter Precoding and Optical Intelligent Reflecting Surface Configuration for Photon-Counting MIMO Systems Under Poisson Shot Noise Applied Sciences intelligent reflecting surface precoding multi-user Poisson shot noise |
| title | Joint Design of Transmitter Precoding and Optical Intelligent Reflecting Surface Configuration for Photon-Counting MIMO Systems Under Poisson Shot Noise |
| title_full | Joint Design of Transmitter Precoding and Optical Intelligent Reflecting Surface Configuration for Photon-Counting MIMO Systems Under Poisson Shot Noise |
| title_fullStr | Joint Design of Transmitter Precoding and Optical Intelligent Reflecting Surface Configuration for Photon-Counting MIMO Systems Under Poisson Shot Noise |
| title_full_unstemmed | Joint Design of Transmitter Precoding and Optical Intelligent Reflecting Surface Configuration for Photon-Counting MIMO Systems Under Poisson Shot Noise |
| title_short | Joint Design of Transmitter Precoding and Optical Intelligent Reflecting Surface Configuration for Photon-Counting MIMO Systems Under Poisson Shot Noise |
| title_sort | joint design of transmitter precoding and optical intelligent reflecting surface configuration for photon counting mimo systems under poisson shot noise |
| topic | intelligent reflecting surface precoding multi-user Poisson shot noise |
| url | https://www.mdpi.com/2076-3417/14/24/11994 |
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