Pub Date : 2022-08-11DOI: 10.1109/ICCCWorkshops55477.2022.9896662
Dongliang Guo, Yuejiao Feng, Congduan Li
Short-length codes may play a crucial role in delay-sensitive scenarios. Low-density parity-check (LDPC) codes, as a class of Shannon limit approaching codes, perform well with long code length. However, the design of short-length LDPC codes with good performance is still challenging. This paper investigates the construction of short-length LDPC codes based on the combinatorial design theory. Specifically, Kirkman triple systems (KTS), as a type of balanced incomplete block design (BIBD) techniques, are used to construct the parity-check matrices of LDPC codes, which are guaranteed to be 4-cycles free. Some other properties of such designed LDPC codes are also investigated. For instance, a lower bound on the girth, the code rate and minimum code distance. The simulation results show that the designed short-length LDPC codes based on KTS outperform that of randomly constructed ones.
{"title":"Design of 4-cycles Free Short-length LDPC Codes Based on the Kirkman Triple Systems","authors":"Dongliang Guo, Yuejiao Feng, Congduan Li","doi":"10.1109/ICCCWorkshops55477.2022.9896662","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896662","url":null,"abstract":"Short-length codes may play a crucial role in delay-sensitive scenarios. Low-density parity-check (LDPC) codes, as a class of Shannon limit approaching codes, perform well with long code length. However, the design of short-length LDPC codes with good performance is still challenging. This paper investigates the construction of short-length LDPC codes based on the combinatorial design theory. Specifically, Kirkman triple systems (KTS), as a type of balanced incomplete block design (BIBD) techniques, are used to construct the parity-check matrices of LDPC codes, which are guaranteed to be 4-cycles free. Some other properties of such designed LDPC codes are also investigated. For instance, a lower bound on the girth, the code rate and minimum code distance. The simulation results show that the designed short-length LDPC codes based on KTS outperform that of randomly constructed ones.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132047563","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 : 2022-08-11DOI: 10.1109/ICCCWorkshops55477.2022.9896698
Chao Ding, S. Li, Xufan Zhang, Qijiang Yuan, Lixia Xiao
Orthogonal time frequency space (OTFS) modu-lation is a new waveform modulation technique which is able to resist the Doppler shift in high-mobility scenario by con-verting a fast time-varying channel in the time-frequency (TF) domain into a time-invariant channel in the delay-Doppler (DD) domain. However, the dimension of the equivalent channel matrix of the OTFS system is usually large, resulting in an excellent challenge for OTFS signal detection. This paper proposes a model-driven intelligent detection method. It first modifies the original orthogonal approximate message passing (OAMP) by constructing several trainable parameters. Then, the model-driven deep learning technology is utilized to train these parameters to improve the convergence and detection accuracy of the method. The experiment results show that the proposed method has better BER performances than some traditional state-of-the-art algorithms.
{"title":"A Model-driven OAMP Detection Algorithm for OTFS Systems","authors":"Chao Ding, S. Li, Xufan Zhang, Qijiang Yuan, Lixia Xiao","doi":"10.1109/ICCCWorkshops55477.2022.9896698","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896698","url":null,"abstract":"Orthogonal time frequency space (OTFS) modu-lation is a new waveform modulation technique which is able to resist the Doppler shift in high-mobility scenario by con-verting a fast time-varying channel in the time-frequency (TF) domain into a time-invariant channel in the delay-Doppler (DD) domain. However, the dimension of the equivalent channel matrix of the OTFS system is usually large, resulting in an excellent challenge for OTFS signal detection. This paper proposes a model-driven intelligent detection method. It first modifies the original orthogonal approximate message passing (OAMP) by constructing several trainable parameters. Then, the model-driven deep learning technology is utilized to train these parameters to improve the convergence and detection accuracy of the method. The experiment results show that the proposed method has better BER performances than some traditional state-of-the-art algorithms.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127626242","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 : 2022-08-11DOI: 10.1109/ICCCWorkshops55477.2022.9896711
Hongqing Huang, Peiran Wu, Junhui Zhao, M. Xia
With the wide development of intelligent communication systems, efficient data transmission is critical to fast edge learning in multi-user multiple-input multiple-output (MIMO) systems since the data acquisition from massive edge devices has become a bottleneck. To cope with the mismatch between the empirical probability of the transmitted data and the expected one, this paper first proposes to quantify data importance using the Kullback-Leibler divergence. Then, we design a multi-user scheduling criterion that combines the channel state information and data importance indicators, followed by an iterative multi-user scheduling algorithm. Finally, experimental results demon-strate that the proposed multi-user scheduling strategy signifi-cantly improves the learning efficiency and the test accuracy of edge learning systems.
{"title":"Data Importance-Assisted Multi-User Scheduling in MIMO Edge Learning Systems","authors":"Hongqing Huang, Peiran Wu, Junhui Zhao, M. Xia","doi":"10.1109/ICCCWorkshops55477.2022.9896711","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896711","url":null,"abstract":"With the wide development of intelligent communication systems, efficient data transmission is critical to fast edge learning in multi-user multiple-input multiple-output (MIMO) systems since the data acquisition from massive edge devices has become a bottleneck. To cope with the mismatch between the empirical probability of the transmitted data and the expected one, this paper first proposes to quantify data importance using the Kullback-Leibler divergence. Then, we design a multi-user scheduling criterion that combines the channel state information and data importance indicators, followed by an iterative multi-user scheduling algorithm. Finally, experimental results demon-strate that the proposed multi-user scheduling strategy signifi-cantly improves the learning efficiency and the test accuracy of edge learning systems.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"247 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114380444","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}
Dynamic spectrum sharing (DSS) enables base s-tations to share the time-frequency resources between different radio access technologies which can speed up the evolution from 4G to 5G. The current NR DSS standards have ignored the strong downlink interference from the neighbour cell cell-specific reference signal (CRS), which has been a barrier to the real deployment of DSS. Based on the 3GPP Rel-17 work item, this paper investigates multiple candidate CRS interference handling solutions as well as the potential Rel-17 standard impact. Perfect performance gain can be shown in the link-level simulation results.
{"title":"CRS interference handling on NR and LTE overlapping spectrum: Analysis on performance and standard impact","authors":"Jingzhou Wu, Shan Yang, Bowen Wang, X. She, Jianxiu Wang, Peng Chen","doi":"10.1109/ICCCWorkshops55477.2022.9896636","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896636","url":null,"abstract":"Dynamic spectrum sharing (DSS) enables base s-tations to share the time-frequency resources between different radio access technologies which can speed up the evolution from 4G to 5G. The current NR DSS standards have ignored the strong downlink interference from the neighbour cell cell-specific reference signal (CRS), which has been a barrier to the real deployment of DSS. Based on the 3GPP Rel-17 work item, this paper investigates multiple candidate CRS interference handling solutions as well as the potential Rel-17 standard impact. Perfect performance gain can be shown in the link-level simulation results.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114625325","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}
Recently, Unmanned Aerial Vehicle (UAV)assisted communication and UAV-assisted sensing has attracted great attention due to the excellent performance of high mobility., flexible deployment, and low costs. However, UAV communication loads and radar loads are independent of each other at present, leading to a lower spectral efficiency and a higher hardware cost. With the evolution of integrated sensing and communication (ISAC), the capacities of UAV communication and sensing are in the trend of integration. For ISAC-empowered UAV platforms, the efficient utilization of ISAC signal seems significant to pursue the integration gain. Motivated by this, the intelligent fusion issue of communication signal and sensing signal is mainly discussed at a ISACempowered UAV platform in this paper. We firstly propose an ISAC signal compression framework based on Generative Adversarial Network (GAN) to reduce the information entropy of the input signal. Then two ISAC signal fusion frameworks are designed based on deep semantic matching and multi-layer semantic matching, respectively. The proposed intelligent fusion frameworks can efficiently fuse the communication signal and sensing signal for the further information sharing between UAVswarms.
{"title":"Intelligent fusion of integrated sensing and communication signal on the UAV platform","authors":"Wenjia Ouyang, Junsheng Mu, Ronghui Zhang, Xiaojun Jing","doi":"10.1109/ICCCWorkshops55477.2022.9896657","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896657","url":null,"abstract":"Recently, Unmanned Aerial Vehicle (UAV)assisted communication and UAV-assisted sensing has attracted great attention due to the excellent performance of high mobility., flexible deployment, and low costs. However, UAV communication loads and radar loads are independent of each other at present, leading to a lower spectral efficiency and a higher hardware cost. With the evolution of integrated sensing and communication (ISAC), the capacities of UAV communication and sensing are in the trend of integration. For ISAC-empowered UAV platforms, the efficient utilization of ISAC signal seems significant to pursue the integration gain. Motivated by this, the intelligent fusion issue of communication signal and sensing signal is mainly discussed at a ISACempowered UAV platform in this paper. We firstly propose an ISAC signal compression framework based on Generative Adversarial Network (GAN) to reduce the information entropy of the input signal. Then two ISAC signal fusion frameworks are designed based on deep semantic matching and multi-layer semantic matching, respectively. The proposed intelligent fusion frameworks can efficiently fuse the communication signal and sensing signal for the further information sharing between UAVswarms.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"1227 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120875000","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 : 2022-08-11DOI: 10.1109/ICCCWorkshops55477.2022.9896709
Zhongjie Li, W. Yuan, Lin Zhou
Orthogonal time frequency space (OTFS) modulation is a promising candidate to support reliable information transmission in high-mobility wireless communications. In this paper, we consider the channel estimation problem for OTFS in the presence of fractional Doppler. We first propose a statistical channel model based on the hidden Markov model (HMM) to characterize the structured sparsity of the effective delay-Doppler (DD) domain channel. The HMM prior is then incorporated with the unitary approximate message passing (UAMP) algorithm to solve the structured sparse channel estimation problem. Finally, simulation results verify that the proposed algorithm can achieve a significant gain over various state-of-art algorithms.
{"title":"UAMP-Based Channel Estimation for OTFS in the Presence of the Fractional Doppler with HMM Prior","authors":"Zhongjie Li, W. Yuan, Lin Zhou","doi":"10.1109/ICCCWorkshops55477.2022.9896709","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896709","url":null,"abstract":"Orthogonal time frequency space (OTFS) modulation is a promising candidate to support reliable information transmission in high-mobility wireless communications. In this paper, we consider the channel estimation problem for OTFS in the presence of fractional Doppler. We first propose a statistical channel model based on the hidden Markov model (HMM) to characterize the structured sparsity of the effective delay-Doppler (DD) domain channel. The HMM prior is then incorporated with the unitary approximate message passing (UAMP) algorithm to solve the structured sparse channel estimation problem. Finally, simulation results verify that the proposed algorithm can achieve a significant gain over various state-of-art algorithms.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123679890","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 : 2022-08-11DOI: 10.1109/ICCCWorkshops55477.2022.9896706
Shihan Bao, Wanfei Sun, Hui Xu
While the current 5G network is famous for cloud-ification and softwarization, the next generation mobile network is expected to closely couple with artificial intelligence and fully ubiquitous connectivity powered by Space-air-ground-sea integrated network. Hence as the key enabler, the role of ubiquitous AI is substantial in the envisioned 6G paradigm. Since the 6G network will compose a collection of distributed heterogeneous networks with ubiquitous intelligence services, 6G networks must rely on advanced and sophisticated security mechanisms. In this paper, we introduce a native intelligence and native security network architecture for 6G to connect AI and security throughout the entire network. The architecture exhibits desirable properties such as highly dynamical self-adaptive networks, service convergence management and zero trust.
{"title":"A Native Intelligent and Security 6G Network Architecture","authors":"Shihan Bao, Wanfei Sun, Hui Xu","doi":"10.1109/ICCCWorkshops55477.2022.9896706","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896706","url":null,"abstract":"While the current 5G network is famous for cloud-ification and softwarization, the next generation mobile network is expected to closely couple with artificial intelligence and fully ubiquitous connectivity powered by Space-air-ground-sea integrated network. Hence as the key enabler, the role of ubiquitous AI is substantial in the envisioned 6G paradigm. Since the 6G network will compose a collection of distributed heterogeneous networks with ubiquitous intelligence services, 6G networks must rely on advanced and sophisticated security mechanisms. In this paper, we introduce a native intelligence and native security network architecture for 6G to connect AI and security throughout the entire network. The architecture exhibits desirable properties such as highly dynamical self-adaptive networks, service convergence management and zero trust.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126752798","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 : 2022-07-22DOI: 10.1109/ICCCWorkshops55477.2022.9896669
Xiangxiang Li, Hong Wang, Yao Ge, Xiaohong Shen, Yuanyuan Lei
The recent proposed orthogonal time frequency space (OTFS) modulation shows significant advantages than conventional orthogonal frequency division multiplexing (OFDM) for high mobility wireless communications. However, a challenging problem is the development of efficient receivers for practical OTFS systems with low complexity. In this paper, we propose a novel delay-Doppler reversal (DDR) technology for OTFS system with desired performance and low complexity. We present the DDR technology from a perspective of two-dimensional cascaded channel model, analyze its computational complexity and also analyze its performance gain compared to the direct processing (DP) receiver without DDR. Simulation results demonstrate that our proposed DDR receiver outperforms traditional receivers in doubly-selective fading channels.
{"title":"Delay-Doppler Reversal for OTFS System in Doubly-selective Fading Channels","authors":"Xiangxiang Li, Hong Wang, Yao Ge, Xiaohong Shen, Yuanyuan Lei","doi":"10.1109/ICCCWorkshops55477.2022.9896669","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896669","url":null,"abstract":"The recent proposed orthogonal time frequency space (OTFS) modulation shows significant advantages than conventional orthogonal frequency division multiplexing (OFDM) for high mobility wireless communications. However, a challenging problem is the development of efficient receivers for practical OTFS systems with low complexity. In this paper, we propose a novel delay-Doppler reversal (DDR) technology for OTFS system with desired performance and low complexity. We present the DDR technology from a perspective of two-dimensional cascaded channel model, analyze its computational complexity and also analyze its performance gain compared to the direct processing (DP) receiver without DDR. Simulation results demonstrate that our proposed DDR receiver outperforms traditional receivers in doubly-selective fading channels.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129374379","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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