Pub Date : 2021-07-28DOI: 10.1109/iccc52777.2021.9580430
Huahua Xiao, Hongyang Du, Jiayi Zhang, K. Guan, B. Ai
TeraHertz (THz) communications are envisioned to help satisfy the ever-high data rates demand with massive bandwidth. However, THz signals are sensitive to blockage. With the help of the recently proposed reconfigurable intelligent surface (RIS) technology, we investigate a RIS-aided THz communication system. More specifically, we first prove that we can use the fluctuating two-ray distribution to model the small-scale amplitude fading of THz signals based on recent measurements. Furthermore, a novel swarm intelligence-based method is proposed to optimize the phase shifts at the RIS elements under discrete constraints. Finally, we investigate exact statistical characterizations of end-to-end signal-to-noise plus distortion ratio and derive closed-form outage probability. Monte-Carlo simulations are provided to validate the accuracy of our results. It is interesting to find that the impact of path loss is more pronounced compared to others, and increasing the number of elements at the RIS can significantly improve the performance of the THz communications.
{"title":"Outage Probability of Reconfigurable Intelligent Surface Aided THz Communications","authors":"Huahua Xiao, Hongyang Du, Jiayi Zhang, K. Guan, B. Ai","doi":"10.1109/iccc52777.2021.9580430","DOIUrl":"https://doi.org/10.1109/iccc52777.2021.9580430","url":null,"abstract":"TeraHertz (THz) communications are envisioned to help satisfy the ever-high data rates demand with massive bandwidth. However, THz signals are sensitive to blockage. With the help of the recently proposed reconfigurable intelligent surface (RIS) technology, we investigate a RIS-aided THz communication system. More specifically, we first prove that we can use the fluctuating two-ray distribution to model the small-scale amplitude fading of THz signals based on recent measurements. Furthermore, a novel swarm intelligence-based method is proposed to optimize the phase shifts at the RIS elements under discrete constraints. Finally, we investigate exact statistical characterizations of end-to-end signal-to-noise plus distortion ratio and derive closed-form outage probability. Monte-Carlo simulations are provided to validate the accuracy of our results. It is interesting to find that the impact of path loss is more pronounced compared to others, and increasing the number of elements at the RIS can significantly improve the performance of the THz communications.","PeriodicalId":425118,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125068428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-28DOI: 10.1109/iccc52777.2021.9580335
Xuemeng Zhou, Zhiyu Yang, Yi Jiang
The millimeter wave (mmWave) communication, albeit a promising technology for wireless systems owing to its abundant frequency bandwidth, suffers from large pathloss. The reconfigurable intelligent surface (RIS) technology has recently been introduced to wireless communication systems [1] as it allows for incorporating a very large number (t-housands or even more) of reflection elements for very high array gain [2]. As a (nearly) passive device, the RIS can customize favorable wireless propagation environments with limited power consumption. Hence, it is envisioned that the combination of the mmWave and RIS technologies will be one of the keys to the beyond fifth-generation (B5G) wireless networks [3].
{"title":"Efficient RIS Channel Estimation and Projection Using Zadoff-Chu Sequences","authors":"Xuemeng Zhou, Zhiyu Yang, Yi Jiang","doi":"10.1109/iccc52777.2021.9580335","DOIUrl":"https://doi.org/10.1109/iccc52777.2021.9580335","url":null,"abstract":"The millimeter wave (mmWave) communication, albeit a promising technology for wireless systems owing to its abundant frequency bandwidth, suffers from large pathloss. The reconfigurable intelligent surface (RIS) technology has recently been introduced to wireless communication systems [1] as it allows for incorporating a very large number (t-housands or even more) of reflection elements for very high array gain [2]. As a (nearly) passive device, the RIS can customize favorable wireless propagation environments with limited power consumption. Hence, it is envisioned that the combination of the mmWave and RIS technologies will be one of the keys to the beyond fifth-generation (B5G) wireless networks [3].","PeriodicalId":425118,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131597226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-28DOI: 10.1109/iccc52777.2021.9580326
Anqi Liu, Wenxiao Shi, Wei Liu, Zhuo Wang
Data rate and communication distance are two important criteria for measuring the performance of optical camera communication (OCC) systems. Intensive researches have been made to find possible solutions to improve these two performance indicators. However, most existing literature either provides solutions which closely related to the experimental parameters of their own designed OCC systems or provides models which are suitable for visible light communication (VLC) and cannot be directly used in OCC. Motivated by this, we propose a simplified system model for OCC in this paper. By jointly applying Lambertian model for the transmitter light-emitting diode (LED), channel direct current (DC) gain for free space channel, and mathematical descriptions for the imaging process of the camera receiver, the proposed model provides the relationship between the optical transmission power and the final pixel values on the image sensor. We specifically explore the parameters of the transmission distance and the exposure time based on the proposed model. Simulation results qualitatively and quantitatively explore the influences of these two parameters on the final pixel values. Our proposed model can provide guidance for the design of a generalized OCC system as well as the selection of demodulating threshold, thus it can help to realize a highperformance OCC system.
{"title":"A Simplified System Model for Optical Camera Communication","authors":"Anqi Liu, Wenxiao Shi, Wei Liu, Zhuo Wang","doi":"10.1109/iccc52777.2021.9580326","DOIUrl":"https://doi.org/10.1109/iccc52777.2021.9580326","url":null,"abstract":"Data rate and communication distance are two important criteria for measuring the performance of optical camera communication (OCC) systems. Intensive researches have been made to find possible solutions to improve these two performance indicators. However, most existing literature either provides solutions which closely related to the experimental parameters of their own designed OCC systems or provides models which are suitable for visible light communication (VLC) and cannot be directly used in OCC. Motivated by this, we propose a simplified system model for OCC in this paper. By jointly applying Lambertian model for the transmitter light-emitting diode (LED), channel direct current (DC) gain for free space channel, and mathematical descriptions for the imaging process of the camera receiver, the proposed model provides the relationship between the optical transmission power and the final pixel values on the image sensor. We specifically explore the parameters of the transmission distance and the exposure time based on the proposed model. Simulation results qualitatively and quantitatively explore the influences of these two parameters on the final pixel values. Our proposed model can provide guidance for the design of a generalized OCC system as well as the selection of demodulating threshold, thus it can help to realize a highperformance OCC system.","PeriodicalId":425118,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125449884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-28DOI: 10.1109/iccc52777.2021.9580427
Yuan Chen, Guobing Li, Bin He, Guomei Zhang
In this paper we develop a clustering-aided signal sampling and reconstruction method for data acquisition in large-scale sensor networks. Using the localization feature of a large network, we exploit the vertex-domain locality by the localized operator of each vertex on the graph, and develop a clustering method that sequentially selects cluster heads and their corresponding members by the use of the overlap factor of each vertex. On this basis, we apply greedy sampling set selection for each cluster in a distributed manner. By combining all local sampling sets, the global sampling set is selected and signals over the whole graph is then efficiently reconstructed. Simulation results over various large networks show that compared with existing sampling set selection methods, the proposed method can reduce the computational complexity while achieving acceptable reconstruction accuracy.
{"title":"Clustering-Aided Graph Signal Sampling and Reconstruction for Large-Scale Sensor Networks","authors":"Yuan Chen, Guobing Li, Bin He, Guomei Zhang","doi":"10.1109/iccc52777.2021.9580427","DOIUrl":"https://doi.org/10.1109/iccc52777.2021.9580427","url":null,"abstract":"In this paper we develop a clustering-aided signal sampling and reconstruction method for data acquisition in large-scale sensor networks. Using the localization feature of a large network, we exploit the vertex-domain locality by the localized operator of each vertex on the graph, and develop a clustering method that sequentially selects cluster heads and their corresponding members by the use of the overlap factor of each vertex. On this basis, we apply greedy sampling set selection for each cluster in a distributed manner. By combining all local sampling sets, the global sampling set is selected and signals over the whole graph is then efficiently reconstructed. Simulation results over various large networks show that compared with existing sampling set selection methods, the proposed method can reduce the computational complexity while achieving acceptable reconstruction accuracy.","PeriodicalId":425118,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116522588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-28DOI: 10.1109/iccc52777.2021.9580373
Zhinan Sun, Xumin Pu, Shihai Shao, Shi Jin, Qianbin Chen
In this paper, we propose a low-complexity expectation propagation (EP) detector for extra-large scale massive multiple-input multiple-output (MIMO) systems. EP achieves the near-optimal performance in high-dimensional MIMO systems but suffers from the inevitable cost of computational complexity. In each iteration procedure of EP algorithm, matrix inversion is the main computational burden, which is the key challenge of the practical implementation of EP detectors. In this work, we use polynomial expansion (PE) to approximate matrix inverse, which reduces the computational cost of matrix inverse in each EP iteration. A subarray architecture is considered in our scenario to fit extra-large scale antenna array. Numerical analysis shows that the proposed PE-EP detector has extremely low complexity for extra-large scale antenna array and achieves performance similar to MMSE and original EP, which ensures enhanced performance and complexity trade-off.
{"title":"A Low Complexity Expectation Propagation Detector for Extra-Large Scale Massive MIMO","authors":"Zhinan Sun, Xumin Pu, Shihai Shao, Shi Jin, Qianbin Chen","doi":"10.1109/iccc52777.2021.9580373","DOIUrl":"https://doi.org/10.1109/iccc52777.2021.9580373","url":null,"abstract":"In this paper, we propose a low-complexity expectation propagation (EP) detector for extra-large scale massive multiple-input multiple-output (MIMO) systems. EP achieves the near-optimal performance in high-dimensional MIMO systems but suffers from the inevitable cost of computational complexity. In each iteration procedure of EP algorithm, matrix inversion is the main computational burden, which is the key challenge of the practical implementation of EP detectors. In this work, we use polynomial expansion (PE) to approximate matrix inverse, which reduces the computational cost of matrix inverse in each EP iteration. A subarray architecture is considered in our scenario to fit extra-large scale antenna array. Numerical analysis shows that the proposed PE-EP detector has extremely low complexity for extra-large scale antenna array and achieves performance similar to MMSE and original EP, which ensures enhanced performance and complexity trade-off.","PeriodicalId":425118,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128389317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-28DOI: 10.1109/iccc52777.2021.9580299
Di Wang, Qianqian Liu, Jie Tian, Yuan Zhi, Jingping Qiao, Ji Bian
Unmanned aerial vehicle (UAV)-relaying can forward files for user devices, but also faces the challenge of the traffic blockage of wireless backhaul. In this paper, we propose a novel caching strategy to pre-cache some popular files at both UAV and user devices to reduce duplicate transmissions in device-to-device (D2D)-enabled UAV-relaying networks. Considering the quality of experience (QoE) of the requesting users, we formulate a file access delay minimization problem by optimizing the cache placement. Due to the dynamics of the environment and the complexity of the formulated problem, we propose a deep deterministic policy gradient (DDPG)-based cache placement optimizing algorithm to decide which files to be cached and where to be cached. In addition, we also analyze theoretically the complexity of the proposed algorithm. Numerical results show our proposed scheme outperforms other baselines.
{"title":"Deep Reinforcement Learning for Caching in D2D-Enabled UAV-Relaying Networks","authors":"Di Wang, Qianqian Liu, Jie Tian, Yuan Zhi, Jingping Qiao, Ji Bian","doi":"10.1109/iccc52777.2021.9580299","DOIUrl":"https://doi.org/10.1109/iccc52777.2021.9580299","url":null,"abstract":"Unmanned aerial vehicle (UAV)-relaying can forward files for user devices, but also faces the challenge of the traffic blockage of wireless backhaul. In this paper, we propose a novel caching strategy to pre-cache some popular files at both UAV and user devices to reduce duplicate transmissions in device-to-device (D2D)-enabled UAV-relaying networks. Considering the quality of experience (QoE) of the requesting users, we formulate a file access delay minimization problem by optimizing the cache placement. Due to the dynamics of the environment and the complexity of the formulated problem, we propose a deep deterministic policy gradient (DDPG)-based cache placement optimizing algorithm to decide which files to be cached and where to be cached. In addition, we also analyze theoretically the complexity of the proposed algorithm. Numerical results show our proposed scheme outperforms other baselines.","PeriodicalId":425118,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129747973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-28DOI: 10.1109/iccc52777.2021.9580428
Yue Zhao, Ruiyi Wang, Zan Li, B. Hao, Danyang Wang
This paper investigates the joint sensor selection and placement (JSSP) problem in a time difference of arrival (TDOA)-based partially controllabel localization networks, which consists of the existing network (E-Net) and the supplementary network (S-Net). The quantity of localization-enable nodes (LENs) should be well designed to save energy so that the sensor selection in E-Net and sensor placement in S-Net are worthy of study. Therefore, we introduce a Boolean vector to formulate the JSSP optimization problem that minimizes the localization error for the source under the constraints of LENs quantity and placement area of S-Net. Since the problem is highly non-convex to the decision variables, two heuristic algorithms, block enumerative comparison (BEC) algorithm and iterative swapping greedy (ISG) algorithm, are proposed to approach the sub-optimal JSSP solutions. The simulation shows that the localization accuracy of the proposed algorithms is always close to the benchmark algorithm with the varying TDOA measurement noise strength and the quantity of the LENs.
{"title":"Joint Sensor Selection and Placement in Partially Controllable Localization Networks","authors":"Yue Zhao, Ruiyi Wang, Zan Li, B. Hao, Danyang Wang","doi":"10.1109/iccc52777.2021.9580428","DOIUrl":"https://doi.org/10.1109/iccc52777.2021.9580428","url":null,"abstract":"This paper investigates the joint sensor selection and placement (JSSP) problem in a time difference of arrival (TDOA)-based partially controllabel localization networks, which consists of the existing network (E-Net) and the supplementary network (S-Net). The quantity of localization-enable nodes (LENs) should be well designed to save energy so that the sensor selection in E-Net and sensor placement in S-Net are worthy of study. Therefore, we introduce a Boolean vector to formulate the JSSP optimization problem that minimizes the localization error for the source under the constraints of LENs quantity and placement area of S-Net. Since the problem is highly non-convex to the decision variables, two heuristic algorithms, block enumerative comparison (BEC) algorithm and iterative swapping greedy (ISG) algorithm, are proposed to approach the sub-optimal JSSP solutions. The simulation shows that the localization accuracy of the proposed algorithms is always close to the benchmark algorithm with the varying TDOA measurement noise strength and the quantity of the LENs.","PeriodicalId":425118,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130200146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-28DOI: 10.1109/iccc52777.2021.9580370
Zhe Xing, Rui Wang, Xiaojun Yuan, Jun Wu
The reconfigurable intelligent surface (RIS) is promising in fulfilling the requirement of green communication in the fifth- and sixth-generation (5G/6G) mobile communication networks. Considering the limits of the conventional channel state information (CSI) acquisition techniques for the RIS-aided communication system, this paper proposes a location-aware beamforming design for the RIS-aided millimeter-wave (mmWave) communication system without the channel estimation process. First, according to the system geometry, the relationship between the channel model and the user location is established, which is further used to derive the CSI error bound using the location error bound. Then, a worst-case robust beamforming optimization problem is formulated and solved to combat the effect of location error on the beamforming design. Simulation results demonstrate that the proposed approach outperforms the conventional non-robust approach in terms of the worst-case signal-to-noise ratio (SNR) at the receiver, and becomes more advantageous in the presence of higher level of the user location uncertainty.
{"title":"Location-aware Beamforming Design for Reconfigurable Intelligent Surface Aided Communication System","authors":"Zhe Xing, Rui Wang, Xiaojun Yuan, Jun Wu","doi":"10.1109/iccc52777.2021.9580370","DOIUrl":"https://doi.org/10.1109/iccc52777.2021.9580370","url":null,"abstract":"The reconfigurable intelligent surface (RIS) is promising in fulfilling the requirement of green communication in the fifth- and sixth-generation (5G/6G) mobile communication networks. Considering the limits of the conventional channel state information (CSI) acquisition techniques for the RIS-aided communication system, this paper proposes a location-aware beamforming design for the RIS-aided millimeter-wave (mmWave) communication system without the channel estimation process. First, according to the system geometry, the relationship between the channel model and the user location is established, which is further used to derive the CSI error bound using the location error bound. Then, a worst-case robust beamforming optimization problem is formulated and solved to combat the effect of location error on the beamforming design. Simulation results demonstrate that the proposed approach outperforms the conventional non-robust approach in terms of the worst-case signal-to-noise ratio (SNR) at the receiver, and becomes more advantageous in the presence of higher level of the user location uncertainty.","PeriodicalId":425118,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC)","volume":"13 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134362514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-28DOI: 10.1109/iccc52777.2021.9580243
Yizhen Yang, Y. Gong, Yik-Chung Wu
Mobile edge computing (MEC) is envisioned as a key enabler to support massive Internet of Things (IoT) devices with time-critical and computation-intensive computation tasks. However, the uplink transmission brings a huge burden to IoT devices with finite battery lifetime. The emerging intelligent reflecting surface (IRS) would be a promising technology to enhance the system performance in this case due to its capability to smartly control the wireless environments so as to enhance the energy and spectrum efficiencies of wireless communications. In this paper, we consider an IRS-assisted multi-device MEC system where each device follows the binary offloading policy. Since energy consumption is a vital concern for IoT devices, an energy minimization problem is formulated to minimize the total energy consumption of devices by jointly optimizing the binary offloading modes, CPU frequencies, offloading powers, offloading times and IRS phase shifts for all devices. A greedy-based algorithm is proposed to solve the challenging discontinuous problem. Simulation results demonstrate that the employment of IRS significantly reduce the energy consumption compared to the case without IRS.
{"title":"Energy Optimization for Intelligent Reflecting Surface Assisted Mobile Edge Computing","authors":"Yizhen Yang, Y. Gong, Yik-Chung Wu","doi":"10.1109/iccc52777.2021.9580243","DOIUrl":"https://doi.org/10.1109/iccc52777.2021.9580243","url":null,"abstract":"Mobile edge computing (MEC) is envisioned as a key enabler to support massive Internet of Things (IoT) devices with time-critical and computation-intensive computation tasks. However, the uplink transmission brings a huge burden to IoT devices with finite battery lifetime. The emerging intelligent reflecting surface (IRS) would be a promising technology to enhance the system performance in this case due to its capability to smartly control the wireless environments so as to enhance the energy and spectrum efficiencies of wireless communications. In this paper, we consider an IRS-assisted multi-device MEC system where each device follows the binary offloading policy. Since energy consumption is a vital concern for IoT devices, an energy minimization problem is formulated to minimize the total energy consumption of devices by jointly optimizing the binary offloading modes, CPU frequencies, offloading powers, offloading times and IRS phase shifts for all devices. A greedy-based algorithm is proposed to solve the challenging discontinuous problem. Simulation results demonstrate that the employment of IRS significantly reduce the energy consumption compared to the case without IRS.","PeriodicalId":425118,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC)","volume":"1186 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132949960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-28DOI: 10.1109/iccc52777.2021.9580432
Liping Kui, Sai Huang, Z. Feng
As the increasing number of vehicles equipped with millimeter wave (mmWave) radars, mutual interference is becoming more serious, leading to the degradation of radar performance. This paper explores the automotive radar interference in multi-lane road scenario by utilizing stochastic geometry. Different from previous Poisson point process (PPP) modeling, the vehicles are modeled by type II Matern hard-core process (MHCP), in which the vehicle length and mutual separation are considered in a real traffic. Apart from direct incident interference, we also analyze mainly reflected echo interference in detail, usually ignored in prior works. Moreover, the fluctuation of the target radar cross-section (RCS) is modeled by Chi-square model. According to the mean interference characterization and the RCS model, we derive the closed-form expression for successful ranging probability based on signal-to-noise-plus-interference ratio (SINR). Our theoretical analyses are verified by using Monte Carlo simulations.
{"title":"Interference Analysis for Automotive Radar Using Matern Hard-Core Point Process","authors":"Liping Kui, Sai Huang, Z. Feng","doi":"10.1109/iccc52777.2021.9580432","DOIUrl":"https://doi.org/10.1109/iccc52777.2021.9580432","url":null,"abstract":"As the increasing number of vehicles equipped with millimeter wave (mmWave) radars, mutual interference is becoming more serious, leading to the degradation of radar performance. This paper explores the automotive radar interference in multi-lane road scenario by utilizing stochastic geometry. Different from previous Poisson point process (PPP) modeling, the vehicles are modeled by type II Matern hard-core process (MHCP), in which the vehicle length and mutual separation are considered in a real traffic. Apart from direct incident interference, we also analyze mainly reflected echo interference in detail, usually ignored in prior works. Moreover, the fluctuation of the target radar cross-section (RCS) is modeled by Chi-square model. According to the mean interference characterization and the RCS model, we derive the closed-form expression for successful ranging probability based on signal-to-noise-plus-interference ratio (SINR). Our theoretical analyses are verified by using Monte Carlo simulations.","PeriodicalId":425118,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130145942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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