{"title":"Design and Optimization on Covert Communication-Oriented Short Packet D2D","authors":"Xiaolong Zhang, Jie Liu, Liyu Zhi","doi":"10.1109/WCSP55476.2022.10039224","DOIUrl":"https://doi.org/10.1109/WCSP55476.2022.10039224","url":null,"abstract":"In this work, we investigate the relationship between the packet length and the prior probability by modeling the random generation process of short packets as a Poisson process in a D2D semantic communication scenario with monitors. Firstly, we derive closed expressions for the covert constraint, average bit error rate (ABER) and effective covert throughput (ECT) of the system. They reveal the trade-off relationships of packet length, power of cellular user and D2D pair transmission power on system covertness and effectiveness. Then, we consider optimizing the packet length, power of cellular network users and the transmission power of the D2D pair to maximize the effective covert throughput of the whole system. Finally, we find that the maximum packet length and the prior probability of 0.5 are not always optimal through numerical simulations.","PeriodicalId":199421,"journal":{"name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122023889","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}
{"title":"Coverage Analysis of Cell-Edge Users in Reconfigurable Intelligent Surface-Assisted Cellular Networks","authors":"Hanwen Chen, Howard H. Yang, Qin Tao, C. Zhong","doi":"10.1109/WCSP55476.2022.10039217","DOIUrl":"https://doi.org/10.1109/WCSP55476.2022.10039217","url":null,"abstract":"We study the coverage probability of cell-edge users in a cellular network where reconfigurable intelligent surfaces (RISs), plains of low-cost antenna elements that improve wireless channel quality by providing auxiliary transmission paths, are employed for signal power enhancement. We model the locations of cell-edge users as a Poisson hole process (PHP) in which each user is paired with a RIS. By leveraging tools from stochastic geometry, we derive a analytical-form expression for the coverage probability, accounting for effects from channel fading, path loss, and interference that arised from co-channel transmissions of the base stations as well as those reflected by the RISs. The analytical results are corroborated by simulations and provide useful insights to the deployment of RISs in a cellular system.","PeriodicalId":199421,"journal":{"name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124873807","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}
Hanqiu Wang, Rongqing Zhang, Xiang Cheng, Liuqing Yang
{"title":"Federated Spatio-Temporal Traffic Flow Prediction Based on Graph Convolutional Network","authors":"Hanqiu Wang, Rongqing Zhang, Xiang Cheng, Liuqing Yang","doi":"10.1109/WCSP55476.2022.10039323","DOIUrl":"https://doi.org/10.1109/WCSP55476.2022.10039323","url":null,"abstract":"In recent years, traffic flow prediction has attracted increasing interest from both academia and industry, and existing data-driven learning models for traffic flow prediction have achieved excellent success. However, this requires a large number of datasets for efficient model training, while it is difficult to acquire all the data from one agent, and thus data collaboration among different agents becomes an attracting trend. Moreover, with the increase in the number of agents, how to perform accurate multi-agent traffic forecasting while protecting privacy is an important issue. To address this challenge, we introduce a privacy-preserving federated learning framework. In this paper, we propose a novel Dynamic Spatio-Temporal traffic flow prediction model based on graph convolutional network (DST-GCN), which incorporates both dynamic spatial and temporal dependence of intersection traffic. In addition, we provide an improved federated learning framework with opportunistic client selection (FLoS). In the proposed FLoS protocol, we employ a FedAVG algorithm for secure parameter aggregation and design an optimal client selection algorithm to reduce the communication overhead during the transfer of model updates. Experiments based on real-world datasets demonstrate that our proposed DST-GCN traffic prediction model outperforms state-of-the-art baseline models. And our proposed FLoS can achieve superior results while reducing communication consumption.","PeriodicalId":199421,"journal":{"name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124799202","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}
{"title":"Hybrid Attention Fusion Segmentation Network for Diffuse Large B-cell Lymphoma in PET-CT","authors":"Shun Chen, Ang Li, Jianxin Chen, Xuguang Zhang, Chong Jiang, Jingyan Xu","doi":"10.1109/WCSP55476.2022.10039141","DOIUrl":"https://doi.org/10.1109/WCSP55476.2022.10039141","url":null,"abstract":"Diffuse large B-cell lymphoma (DLBCL) is a type of lymphoma with a high incidence in Asia. Positron emission tomography-computed tomography (PET-CT) is usually used as the evaluation means for DLBCL. Theoretically, the effective combination of the PET and CT can display the shape, size and location of the tumor. In practice, manual lesion segmentation of PET-CT is time-consuming. Hence, in this work, we design a hybrid attention fusion segmentation network (HAFS-Net) for automatic segmentation task. Most works only pay attention to extract information from multi-modal images, but ignore the potential correlations between them, which is ineffective for segmentation. In contrast, our network combines hybrid attention mechanism and PET-CT feature fusion module, which can fully mine correlations between multi-modal information. Specifically, the hybrid attention exploits the tumor region enhancement properties of PET to guide segmentation on CT. And the irrelevant noise regions on CT which interfere with the segmentation will be suppressed. In PET-CT feature fusion module, the supervision information (attention fusion map on PET-CT) is efficiently applied to assist segmentation. Extensive experiments demonstrate that the proposed framework can effectively complete the task of multi-modal medical image segmentation.","PeriodicalId":199421,"journal":{"name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125188030","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}
{"title":"Active Constraints Inspired Zero-Forcing Precoder Design under Per-Antenna Power Constraints","authors":"Xianzhi Hu, Xuchu Dai","doi":"10.1109/WCSP55476.2022.10039390","DOIUrl":"https://doi.org/10.1109/WCSP55476.2022.10039390","url":null,"abstract":"This paper investigates the problem of linear zero-forcing (ZF) precoder design for sum rate maximization under per-antenna power constraints (PAPCs). A conventional method to tackle this problem is to lift it into a convex determinant maximization program with respect to the transmit covariance matrices, whose complexity, however, increases dramatically as the problem size increases. A suboptimal alternative is to adopt a semi-closed-form pseudo-inverse solution, whose performance, however, becomes dramatically inferior to the optimal design as the number of transmit antennas goes large. A new low-complexity high-performance ZF precoder design under PAPCs is proposed in this paper. Specifically, we first investigate the power usage at each transmit antenna for ZF precoding under PAPCs and identify a lower bound on the number of power constraints that should be active (i.e., satisfied with equality) at the optimal ZF precoder. Then, we devise a low-complexity iterative algorithm to find a ZF precoder satisfying PAPCs, at which the number of active power constraints meets the lower bound requirement for optimality. Simulation results show that the proposed ZF precoder achieves the near-optimal sum rate with significantly reduced computational complexity.","PeriodicalId":199421,"journal":{"name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130155207","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}
{"title":"Deep Reinforcement Learning Based Resource Allocation for Intelligent Reflecting Surface Assisted Dynamic Spectrum Sharing","authors":"Jianxin Guo, Zhe Wang, Jun Li, J. Zhang","doi":"10.1109/WCSP55476.2022.10039119","DOIUrl":"https://doi.org/10.1109/WCSP55476.2022.10039119","url":null,"abstract":"For cognitive radio (CR) systems, it is challenging to achieve high data rate for secondary user (SU) while avoiding the cross-link interference to primary user (PU). In this paper, we propose an intelligent reflecting surface (IRS) aided dynamic spectrum sharing scheme, where an IRS assisted SU link dynamically shares the spectrum opportunities with a PU link based on the eavesdropped automatic repeat request (ARQ) feedback from the PU. We model the dynamic spectrum sharing problem as a Markov decision process (MDP), where we jointly optimize the SU transmit power and IRS reflect beamforming to maximize the cumulative expected achievable rate of the SU link subject to the outage constraint of the PU link. We propose a deep reinforcement learning (DRL) algorithm to achieve the optimal spectrum sharing policy. Experimental results show that the proposed proximal policy optimization (PPO) algorithm outperforms the traditional policy gradient (PG) and deep deterministic policy gradient (DDPG) algorithms by 100% and 46% in terms of spectrum utilization efficiency, respectively.","PeriodicalId":199421,"journal":{"name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130207658","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}
{"title":"Simple Quantum Communication Protocol Based on Bell Test","authors":"Yiyou Fan, Zaichen Zhang","doi":"10.1109/WCSP55476.2022.10039287","DOIUrl":"https://doi.org/10.1109/WCSP55476.2022.10039287","url":null,"abstract":"In this paper, we propose a robust quantum communication protocol which needs Bell test only with one round classical communication. Current quantum communication protocols such as quantum dense code and quantum direct communication protocol are vulnerable to interference, and quantum key distribution protocol which have already in large scale use needs multiple rounds classical communication to remove the effects of noise. Bell test is a well-known entanglement detector and as a powerful tool to verify the quantum non-locality that the quantum correlation between two space separated objects. It has been applied in several quantum communication protocols for security check and network relay. Moreover, we found that entanglement is a valuable quantum correlation resource itself and Bell test can verify it. In our protocol, the quantum entanglement is used to establish a shared code information space between sender and receiver via the peculiar quantum correlation. The information is encoded as the position of message sequence and the receiver decodes it by a Bell Test, the maximum correlation value occurs exactly at the encoded position. The protocol completes information transmission by only one round classical communication and work well under imperfect apparatus as well. Our protocol is simple and be implemented seamlessly in existing entanglement based quantum communication protocol.","PeriodicalId":199421,"journal":{"name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129296550","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}
{"title":"A Delegated Quantum Approximate Optimization Algorithm","authors":"Yuxun Wang, Junyu Quan, Qin Li","doi":"10.1109/WCSP55476.2022.10039146","DOIUrl":"https://doi.org/10.1109/WCSP55476.2022.10039146","url":null,"abstract":"The famous quantum approximate optimization algorithm (QAOA) can be an efficient way to solve combinatorial optimization problems which are very useful for various applications such as network analysis and image segmentation. However, its implementation needs a quantum computer. Fortunately, blind quantum computing (BQC) can allow a user with limited quantum ability to delegate the computation to a quantum server and still keep his input, algorithm and output private. In this paper, we improve one typical BQC model for users who only need the ability to perform single-qubit measurements by utilizing an efficient way to generate quantum resource states and thus reduce the quantum memory required by the quantum server. Then by combining the improved BQC model and QAOA, we propose a delegated QAOA where users only with the ability to implement single-qubit measurements also can complete QAOA with the help of a remote quantum server while ensuring the security of their own data.","PeriodicalId":199421,"journal":{"name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129813514","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}
{"title":"Ergodic Capacity and Outage Probability Analysis of RIS-Aided Hybrid Satellite-Terrestrial Networks","authors":"Yin Ding, Yulong Zou, Bin Li","doi":"10.1109/WCSP55476.2022.10039315","DOIUrl":"https://doi.org/10.1109/WCSP55476.2022.10039315","url":null,"abstract":"Using satellites to provide services with ubiquitous coverage is considered as an indispensable part of 6G era. Communication between the satellite and terrestrial user may be interrupted due to the presence of obstacles or deep shadowing, which can be improved by deploying reconfigurable intelligent surfaces (RIS). In this paper, we consider a hybrid satellite-terrestrial network (HSTN) consisting of one satellite, one terrestrial user, and a RIS which is employed to improve the reliability of wireless transmissions between the satellite and the terrestrial user. Performance analysis of the RIS-aided HSTN is carried out by deriving the upper bound of ergodic capacity and approximation of outage probability, respectively. Numerical results show that increasing the number of reflecting elements significantly improves both the ergodic capacity and outage performance of the system. Moreover, improved channel conditions between the satellite and the terrestrial user also contribute to the capacity and reliability of the system.","PeriodicalId":199421,"journal":{"name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129046915","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}
Min Hua, Fei Gao, Xinlai Luo, Wenqing Li, Zhiyong Chen, Bin Xia
{"title":"Optimized Uplink Transmission for C-RAN with Hybrid Analog-digital Beamforming and Resolution-adaptive ADCs","authors":"Min Hua, Fei Gao, Xinlai Luo, Wenqing Li, Zhiyong Chen, Bin Xia","doi":"10.1109/WCSP55476.2022.10039489","DOIUrl":"https://doi.org/10.1109/WCSP55476.2022.10039489","url":null,"abstract":"In this paper, we consider the uplink in a cloud radio access network, where analog-beamforming and resolution- adaptive ADCs are adopted at each the network remote radio heads (RRH) with large number of antennas. To maximize the minimum uplink signal-to-interference-plus-noise ratio over all users, the transmit power at the users, the analog beamforming and the quantization bit allocation at each RRH, and the digital beamforming at the baseband processing unit are jointly optimized. Specifically, we consider a limited fronthaul capacity and per-user power constraint as well as the modulus constraint on the analog beamforming elements. The analog combiner for an RF chain is designed to maximize the effective channel gain of the selected user while reducing the inter-user interference in a distributed manner at each RRH. For a given analog combiner, the user power, quantization bit allocation at each RRH, and the digital beamforming are jointly designed via an alternating optimization technique. Numerical results show the resulting significant performance advantage of the proposed scheme.","PeriodicalId":199421,"journal":{"name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127917028","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}