Pub Date : 2023-03-01DOI: 10.1109/WCNC55385.2023.10118703
Junjie Zhu, Kenta Nagayama, Erika Kouda, Yafei Hou, S. Denno
Localization, as a key technology, has promoted various location-based services and applications. It also plays an important role in many novel systems such as the Internet of Things (IoT), smart buildings and houses, and unmanned aerial vehicle (UAV) systems. Different from the requirements for localization technology in the past, today’s indoor localization systems need to provide not only the two-dimensional (2-D) location information of the target but also stable three-dimensional (3-D) information. Most of the existing localization methods in wireless communication consider the communication systems using conventional monopole antennas. However, in many application scenarios such as smart manufacturing factories, the shielding and interference effects of metallic objects on radio waves limit the performance of conventional monopole antennas. It is often necessary to increase the number of access points (APs) with additional complexity and cost to guarantee entire wireless coverage. Leaky coaxial cable (LCX) which can be used as antennas for wireless communication can be employed to solve this problem. As a long and flexible cable, LCX can provide promising wireless coverage for stable wireless communication and localization. This paper proposes a 3-D localization method using multiple LCXs in an indoor environment. The proposal is based on a particle filter algorithm and uses the time of arrival (TOA) of the signal as the indicator for filtering.
{"title":"Indoor 3-D Localization over LCX-based Wireless Environment Using Particle Filter Approach","authors":"Junjie Zhu, Kenta Nagayama, Erika Kouda, Yafei Hou, S. Denno","doi":"10.1109/WCNC55385.2023.10118703","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118703","url":null,"abstract":"Localization, as a key technology, has promoted various location-based services and applications. It also plays an important role in many novel systems such as the Internet of Things (IoT), smart buildings and houses, and unmanned aerial vehicle (UAV) systems. Different from the requirements for localization technology in the past, today’s indoor localization systems need to provide not only the two-dimensional (2-D) location information of the target but also stable three-dimensional (3-D) information. Most of the existing localization methods in wireless communication consider the communication systems using conventional monopole antennas. However, in many application scenarios such as smart manufacturing factories, the shielding and interference effects of metallic objects on radio waves limit the performance of conventional monopole antennas. It is often necessary to increase the number of access points (APs) with additional complexity and cost to guarantee entire wireless coverage. Leaky coaxial cable (LCX) which can be used as antennas for wireless communication can be employed to solve this problem. As a long and flexible cable, LCX can provide promising wireless coverage for stable wireless communication and localization. This paper proposes a 3-D localization method using multiple LCXs in an indoor environment. The proposal is based on a particle filter algorithm and uses the time of arrival (TOA) of the signal as the indicator for filtering.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"197 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114965568","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 : 2023-03-01DOI: 10.1109/WCNC55385.2023.10118952
Zhishen Luo, Minghui Dai, Yuan Wu, L. Qian, Bin Lin, Zhou Su
With the rapid growth of marine services and applications for achieving smart oceans, advanced marine communication networks have attracted increasing interests. However, the limited resources constrain the applications in marine communication networks. In this paper, we investigate a two-tier computation offloading scheme for unmanned aerial vehicle (UAV) aided marine communication networks via game theory to improve offloading efficiency. Specifically, these underwater wireless sensors (UWSs) are deployed at the seafloor, which partially offloads their sensed information to unmanned surface vessels (USVs) for assist computing. USV acts as a relay to offload part of its data to UAVs. We formulate three optimization problems to optimize the utility of UWSs, USVs, and UAVs, respectively. To address the formulated problems, we propose efficient algorithms to derive the solutions, which can maximize the utility of each participant. Finally, simulations are conducted to validate the performance of the proposed algorithms, and the results show the efficiency and effectiveness of the proposed algorithms in comparison with the benchmark schemes.
{"title":"UAV-aided Two-tier Computation Offloading for Marine Communication Networks: An Incentive-based Approach","authors":"Zhishen Luo, Minghui Dai, Yuan Wu, L. Qian, Bin Lin, Zhou Su","doi":"10.1109/WCNC55385.2023.10118952","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118952","url":null,"abstract":"With the rapid growth of marine services and applications for achieving smart oceans, advanced marine communication networks have attracted increasing interests. However, the limited resources constrain the applications in marine communication networks. In this paper, we investigate a two-tier computation offloading scheme for unmanned aerial vehicle (UAV) aided marine communication networks via game theory to improve offloading efficiency. Specifically, these underwater wireless sensors (UWSs) are deployed at the seafloor, which partially offloads their sensed information to unmanned surface vessels (USVs) for assist computing. USV acts as a relay to offload part of its data to UAVs. We formulate three optimization problems to optimize the utility of UWSs, USVs, and UAVs, respectively. To address the formulated problems, we propose efficient algorithms to derive the solutions, which can maximize the utility of each participant. Finally, simulations are conducted to validate the performance of the proposed algorithms, and the results show the efficiency and effectiveness of the proposed algorithms in comparison with the benchmark schemes.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115411936","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 : 2023-03-01DOI: 10.1109/WCNC55385.2023.10118609
Zhongjie Li, W. Yuan, Changsheng You, Yuanhao Cui
In this paper, we propose an efficient channel estimation algorithm for orthogonal time frequency space (OTFS) systems in the presence of fractional Doppler. The proposed algorithm first employs the well-known threshold-based estimator to obtain the effective channel response. With the effective channel matrix in hand, we then utilize the linear system to recover the Doppler shifts and channel gains of different resolvable paths. The interference between different paths is also considered. Our simulation results verify that, by selecting appropriate samples in the effective channel matrix, the Doppler shifts and channel gains can be estimated robustly even in poor signal-to-noise ratio (SNR) conditions.
{"title":"Efficient Channel Estimation for OTFS Systems in the Presence of Fractional Doppler","authors":"Zhongjie Li, W. Yuan, Changsheng You, Yuanhao Cui","doi":"10.1109/WCNC55385.2023.10118609","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118609","url":null,"abstract":"In this paper, we propose an efficient channel estimation algorithm for orthogonal time frequency space (OTFS) systems in the presence of fractional Doppler. The proposed algorithm first employs the well-known threshold-based estimator to obtain the effective channel response. With the effective channel matrix in hand, we then utilize the linear system to recover the Doppler shifts and channel gains of different resolvable paths. The interference between different paths is also considered. Our simulation results verify that, by selecting appropriate samples in the effective channel matrix, the Doppler shifts and channel gains can be estimated robustly even in poor signal-to-noise ratio (SNR) conditions.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124264987","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 : 2023-03-01DOI: 10.1109/WCNC55385.2023.10118648
Mengmeng Liu, Shuangyang Li, Zhiqiang Wei, B. Bai
In this paper, an orthogonal time frequency space modulation-based point-to-point multiple-input multiple-output (MIMO-OTFS) transmission is devised. Specifically, we propose a low-complexity hybrid digital-analog beamforming (HBF) scheme for MIMO-OTFS transmissions, in which symbols can be transmitted in an interference-free manner. In particular, the designed HBF scheme exploits the delay-Doppler (DD) domain path separability, which gives rise to a low-complexity DD domain precoding that can obtain a near-optimal rate performance facilitated by a path-wise power allocation. Simulation results demonstrate that the proposed HBF scheme achieves near-optimal rate and improved error performance in comparison to the singular value decomposition (SVD) precoding benchmark.
{"title":"Near Optimal Hybrid Digital-Analog Beamforming for Point-to-Point MIMO-OTFS Transmissions","authors":"Mengmeng Liu, Shuangyang Li, Zhiqiang Wei, B. Bai","doi":"10.1109/WCNC55385.2023.10118648","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118648","url":null,"abstract":"In this paper, an orthogonal time frequency space modulation-based point-to-point multiple-input multiple-output (MIMO-OTFS) transmission is devised. Specifically, we propose a low-complexity hybrid digital-analog beamforming (HBF) scheme for MIMO-OTFS transmissions, in which symbols can be transmitted in an interference-free manner. In particular, the designed HBF scheme exploits the delay-Doppler (DD) domain path separability, which gives rise to a low-complexity DD domain precoding that can obtain a near-optimal rate performance facilitated by a path-wise power allocation. Simulation results demonstrate that the proposed HBF scheme achieves near-optimal rate and improved error performance in comparison to the singular value decomposition (SVD) precoding benchmark.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116651429","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 : 2023-03-01DOI: 10.1109/WCNC55385.2023.10118662
Carlos Fernández Hernández, Gwendoline Hochet Derévianckine, A. Guitton, Oana-Teodora Iova, F. Valois
LoRa® and LoRaWAN are one of the most common wireless technologies used today in the Internet of Things. If until now LoRa was strictly used in sub-GHz bands, a new version has been released for the 2.4 GHz band that does not have any duty cycle restrictions and that allows the use of higher datarates, which opens the door to the deployment of new applications (such as asset tracking or indoor localization). In this paper, we present the first extensive evaluation of LoRa 2.4 GHz in a typical indoor environment, both in the presence and lack of human and WiFi activities. We run an exhaustive evaluation of all 128 possible combinations of the different LoRa physical parameters (spreading factor, bandwidth and coding rate) and we show that despite the use of higher frequency, LoRa is capable of maintaining a good connectivity throughout the building, similar to what was observed in sub-GHz bands. Still, some configurations were clearly affected by the daily life activities in the building during the working hours of weekdays.
{"title":"Indoor Performance Evaluation of LoRa® 2.4 GHz","authors":"Carlos Fernández Hernández, Gwendoline Hochet Derévianckine, A. Guitton, Oana-Teodora Iova, F. Valois","doi":"10.1109/WCNC55385.2023.10118662","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118662","url":null,"abstract":"LoRa® and LoRaWAN are one of the most common wireless technologies used today in the Internet of Things. If until now LoRa was strictly used in sub-GHz bands, a new version has been released for the 2.4 GHz band that does not have any duty cycle restrictions and that allows the use of higher datarates, which opens the door to the deployment of new applications (such as asset tracking or indoor localization). In this paper, we present the first extensive evaluation of LoRa 2.4 GHz in a typical indoor environment, both in the presence and lack of human and WiFi activities. We run an exhaustive evaluation of all 128 possible combinations of the different LoRa physical parameters (spreading factor, bandwidth and coding rate) and we show that despite the use of higher frequency, LoRa is capable of maintaining a good connectivity throughout the building, similar to what was observed in sub-GHz bands. Still, some configurations were clearly affected by the daily life activities in the building during the working hours of weekdays.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117108693","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 : 2023-03-01DOI: 10.1109/WCNC55385.2023.10118695
Dong Li, Saeed R. Khosravirad, Tao Tao, P. Baracca
The concept of in-X subnetworks has been recently proposed to meet extreme communication requirements such as sub-millisecond latency and up to 9 nines reliability in 6th generation (6G) networks. On the other hand, many open challenges have already been recognized for this new concept, from air interface design to interference management in dense and dynamic scenarios. In this paper, we focus on subnetworks for industrial wireless control applications and propose an advanced frequency resource allocation scheme, denoted as sequential iterative subband allocation (SISA), which is designed to minimize the sum interference-to-signal ratio over all subnetwork links. Through extensive system level simulations, we evaluate the benefits of the proposed SISA scheme and compare it with the state-of-the-art. Numerical results show that SISA with interference weighting strongly outperforms a greedy distributed scheme, by reducing by half the frequency resources needed to enable 99.9% of all the subnetwork link instances to achieve reliability of 6 nines.
{"title":"Advanced Frequency Resource Allocation for Industrial Wireless Control in 6G subnetworks","authors":"Dong Li, Saeed R. Khosravirad, Tao Tao, P. Baracca","doi":"10.1109/WCNC55385.2023.10118695","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118695","url":null,"abstract":"The concept of in-X subnetworks has been recently proposed to meet extreme communication requirements such as sub-millisecond latency and up to 9 nines reliability in 6th generation (6G) networks. On the other hand, many open challenges have already been recognized for this new concept, from air interface design to interference management in dense and dynamic scenarios. In this paper, we focus on subnetworks for industrial wireless control applications and propose an advanced frequency resource allocation scheme, denoted as sequential iterative subband allocation (SISA), which is designed to minimize the sum interference-to-signal ratio over all subnetwork links. Through extensive system level simulations, we evaluate the benefits of the proposed SISA scheme and compare it with the state-of-the-art. Numerical results show that SISA with interference weighting strongly outperforms a greedy distributed scheme, by reducing by half the frequency resources needed to enable 99.9% of all the subnetwork link instances to achieve reliability of 6 nines.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127295166","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 : 2023-03-01DOI: 10.1109/WCNC55385.2023.10118857
Imed Ghnaya, H. Aniss, T. Ahmed, M. Mosbah
The use of Cooperative Perception (CP) enables Connected and Autonomous Vehicles (CAVs) to exchange objects perceived from onboard sensors (e.g., radars, lidars, and cameras) with other CAVs via CP messages (CPMs) through Vehicle-to-Vehicle (V2V) communication technologies. However, the same objects in the driving environment may simultaneously appear in the line of sight of multiple CAVs. Consequently, this leads to much irrelevant and redundant information being exchanged in the V2V network. This overloads the communication channel and reduces the CPM delivery to CAVs, thereby decreasing CP awareness. To address this issue, we mathematically formulate CP information usefulness as a maximization problem in a multi-CAV environment and introduce a distributed multi-agent deep reinforcement learning approach based on the double deep Q-learning algorithm to solve it. This approach allows each CAV to learn an optimal CPM content selection policy that maximizes the usefulness of surrounding CAVs as much as possible to reduce redundancy in the V2V network. Simulation results highlight that the proposal effectively mitigates object redundancy and improves network reliability, ensuring increased awareness at short and medium distances of less than 200 m compared to state-of-the-art approaches.
{"title":"A Distributed Double Deep Q-Learning Method for Object Redundancy Mitigation in Vehicular Networks","authors":"Imed Ghnaya, H. Aniss, T. Ahmed, M. Mosbah","doi":"10.1109/WCNC55385.2023.10118857","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118857","url":null,"abstract":"The use of Cooperative Perception (CP) enables Connected and Autonomous Vehicles (CAVs) to exchange objects perceived from onboard sensors (e.g., radars, lidars, and cameras) with other CAVs via CP messages (CPMs) through Vehicle-to-Vehicle (V2V) communication technologies. However, the same objects in the driving environment may simultaneously appear in the line of sight of multiple CAVs. Consequently, this leads to much irrelevant and redundant information being exchanged in the V2V network. This overloads the communication channel and reduces the CPM delivery to CAVs, thereby decreasing CP awareness. To address this issue, we mathematically formulate CP information usefulness as a maximization problem in a multi-CAV environment and introduce a distributed multi-agent deep reinforcement learning approach based on the double deep Q-learning algorithm to solve it. This approach allows each CAV to learn an optimal CPM content selection policy that maximizes the usefulness of surrounding CAVs as much as possible to reduce redundancy in the V2V network. Simulation results highlight that the proposal effectively mitigates object redundancy and improves network reliability, ensuring increased awareness at short and medium distances of less than 200 m compared to state-of-the-art approaches.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127435980","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 : 2023-03-01DOI: 10.1109/WCNC55385.2023.10118798
Xin Zhang, Yun Hu, Zheng Chang, Geyong Min
In this paper, we consider an Internet of Things (IoT) system where the employed unmanned aerial vehicle (UAV) carries edge computing server to perform data collection and execution for multiple IoT nodes (INs). For such a network, UAV trajectory and uplink transmission power optimization are integrated to minimize the Age of Information (AoI) of the results returned to all ground INs subject to energy consumption limitations. Due to the non-convex nature of the formulated problem, it is divided into two subproblems, which are respectively solved by Lagrangian dual and convex optimization methods, and block coordinate descent method is applied to solve the overall problem. Simulation results show that the proposed algorithm achieves the lowest average AoI of all INs compared with other schemes. The results also reveal the relationship between the average AoI and the number of INs and advantages of the proposed scheme.
在本文中，我们考虑了一个物联网(IoT)系统，其中使用的无人机(UAV)携带边缘计算服务器来执行多个物联网节点(INs)的数据收集和执行。对于这种网络，集成了无人机轨迹和上行传输功率优化，以最小化在能耗限制下返回所有地面INs的结果的信息时代(Age of Information, AoI)。由于所述问题的非凸性，将其分为两个子问题，分别采用拉格朗日对偶和凸优化方法求解，并采用分块坐标下降法求解整体问题。仿真结果表明，与其他方案相比，该算法的平均AoI最低。结果还揭示了平均AoI与INs数量之间的关系以及所提出方案的优点。
{"title":"AoI-Minimal Power and Trajectory Optimization for UAV-Assisted Wireless Networks","authors":"Xin Zhang, Yun Hu, Zheng Chang, Geyong Min","doi":"10.1109/WCNC55385.2023.10118798","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118798","url":null,"abstract":"In this paper, we consider an Internet of Things (IoT) system where the employed unmanned aerial vehicle (UAV) carries edge computing server to perform data collection and execution for multiple IoT nodes (INs). For such a network, UAV trajectory and uplink transmission power optimization are integrated to minimize the Age of Information (AoI) of the results returned to all ground INs subject to energy consumption limitations. Due to the non-convex nature of the formulated problem, it is divided into two subproblems, which are respectively solved by Lagrangian dual and convex optimization methods, and block coordinate descent method is applied to solve the overall problem. Simulation results show that the proposed algorithm achieves the lowest average AoI of all INs compared with other schemes. The results also reveal the relationship between the average AoI and the number of INs and advantages of the proposed scheme.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125333026","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 : 2023-03-01DOI: 10.1109/WCNC55385.2023.10118588
Chrysanthi Paschou, O. Johnson, Ziming Zhu, A. Doufexi
In response to the rise of crime in short-range communication systems, a novel method for authenticating co-located devices is presented. Our method, Channel Randomness Yields Secure Proximity (ChRYSP) exploits the fundamental properties of the wireless RF channel to protect against relay attacks and replay attacks - the two most common impersonation attacks in short-range communication systems. ChRYSP is based on the fact that two devices in close proximity - typically a couple of wavelengths - experience correlated fading on a received RF signal. ChRYSP is facilitated by the employment of a helper node and can be implemented by low-cost, narrowband transceivers. Numerical results demonstrate high accuracy in detecting both relay attacks and replay attacks.
{"title":"Physical Layer Protection Against Relay/Replay Attacks for Short-Range Systems","authors":"Chrysanthi Paschou, O. Johnson, Ziming Zhu, A. Doufexi","doi":"10.1109/WCNC55385.2023.10118588","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118588","url":null,"abstract":"In response to the rise of crime in short-range communication systems, a novel method for authenticating co-located devices is presented. Our method, Channel Randomness Yields Secure Proximity (ChRYSP) exploits the fundamental properties of the wireless RF channel to protect against relay attacks and replay attacks - the two most common impersonation attacks in short-range communication systems. ChRYSP is based on the fact that two devices in close proximity - typically a couple of wavelengths - experience correlated fading on a received RF signal. ChRYSP is facilitated by the employment of a helper node and can be implemented by low-cost, narrowband transceivers. Numerical results demonstrate high accuracy in detecting both relay attacks and replay attacks.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115461917","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 : 2023-03-01DOI: 10.1109/WCNC55385.2023.10119118
Wei Jiang, H. Schotten
Reconfigurable intelligent surface (RIS) has recently drawn intensive attention due to its potential of simultaneously realizing high spectral and energy efficiency in a sustainable way. This paper focuses on the design of efficient transmission methods to maximize the uplink sum throughput in a RIS-aided multi-user multi-input multi-output (MU-MIMO) system. To provide an insightful basis, the channel capacity of RIS-aided MU-MIMO is theoretically analyzed. Then, the conventional transmission schemes based on orthogonal multiple access are presented as the baseline. From the information-theoretic perspective, we propose two novel schemes, i.e., joint transmission based on the semidefinite relaxation of quadratic optimization problems and opportunistic transmission relying on the best user selection. The superiority of the proposed schemes over the conventional ones in terms of achievable rates is justified through simulation results.
{"title":"Capacity Analysis and Rate Maximization Design in RIS-Aided Uplink Multi-User MIMO","authors":"Wei Jiang, H. Schotten","doi":"10.1109/WCNC55385.2023.10119118","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10119118","url":null,"abstract":"Reconfigurable intelligent surface (RIS) has recently drawn intensive attention due to its potential of simultaneously realizing high spectral and energy efficiency in a sustainable way. This paper focuses on the design of efficient transmission methods to maximize the uplink sum throughput in a RIS-aided multi-user multi-input multi-output (MU-MIMO) system. To provide an insightful basis, the channel capacity of RIS-aided MU-MIMO is theoretically analyzed. Then, the conventional transmission schemes based on orthogonal multiple access are presented as the baseline. From the information-theoretic perspective, we propose two novel schemes, i.e., joint transmission based on the semidefinite relaxation of quadratic optimization problems and opportunistic transmission relying on the best user selection. The superiority of the proposed schemes over the conventional ones in terms of achievable rates is justified through simulation results.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122436672","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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