Pub Date : 2022-08-11DOI: 10.1109/ICCCWorkshops55477.2022.9896684
Haoyu You, Peixu Liu, Hongwu Liu
In this work, we propose a rate splitting (RS) scheme for intelligent reflective surface (IRS) assisted cognitive radio (CR) inspired non-orthogonal multiple access (NOMA) system, where the primary user's (PU's) quality of service (QoS) requirements must be guaranteed. We apply the IRS to assist the PU's transmission and attain an improved intolerable interference threshold, which in turn improves the secondary user's (SU's) outage performance. Regarding the RS scheme, we derive the target rate allocation, optimal transmit power allocation and successive interference cancellation (SIC) decoding order for SU. In addition, closed-form expression of the outage probability is derived for the SU. The simulation results show the enhanced outage performance achieved by the proposed scheme over the existing schemes.
{"title":"Rate Splitting for Uplink CR-NOMA Systems based on Intelligent Reflecting Surface","authors":"Haoyu You, Peixu Liu, Hongwu Liu","doi":"10.1109/ICCCWorkshops55477.2022.9896684","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896684","url":null,"abstract":"In this work, we propose a rate splitting (RS) scheme for intelligent reflective surface (IRS) assisted cognitive radio (CR) inspired non-orthogonal multiple access (NOMA) system, where the primary user's (PU's) quality of service (QoS) requirements must be guaranteed. We apply the IRS to assist the PU's transmission and attain an improved intolerable interference threshold, which in turn improves the secondary user's (SU's) outage performance. Regarding the RS scheme, we derive the target rate allocation, optimal transmit power allocation and successive interference cancellation (SIC) decoding order for SU. In addition, closed-form expression of the outage probability is derived for the SU. The simulation results show the enhanced outage performance achieved by the proposed scheme over the existing schemes.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"9 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":"115117061","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/ICCCWorkshops55477.2022.9896663
Yuan Ren, Binghan Ren, Xuewei Zhang, G. Lu
This paper advocates an impartial cooperation scheme in simultaneous wireless information and power transfer (SWIPT)-assisted downlink non-orthogonal multiple access (NOMA) system, consisting of a base station, a far user group and a near user group. Compared to the conventional designs for SWIPT-assisted cooperative NOMA transmissions, the spatial randomness of user locations is taken into account and both the near and far users can act as energy harvesting relays. Under the proposed transmission model, the near and far users can forward information to each other. Owing to the fact that the user locations have tremendous effect on the system performance, the user pairing scheme is devised. With the proposed scheme, closed-form expressions for the outage probability (OP) and diversity order are otained. From theoretical analysis, it is found the proposed impartial SWIPT-assisted cooperative NOMA scheme can reduce the OP and improve the diversity order of the near user, while reaching the same performance of the far user, by comparing to the conventional scheme. Numerical results demonstrate the correctness of the theoretical analysis and present the outage performance superiority of the proposed scheme to existing schemes.
{"title":"Impartial Cooperation Design in Downlink NOMA Systems with SWIPT","authors":"Yuan Ren, Binghan Ren, Xuewei Zhang, G. Lu","doi":"10.1109/ICCCWorkshops55477.2022.9896663","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896663","url":null,"abstract":"This paper advocates an impartial cooperation scheme in simultaneous wireless information and power transfer (SWIPT)-assisted downlink non-orthogonal multiple access (NOMA) system, consisting of a base station, a far user group and a near user group. Compared to the conventional designs for SWIPT-assisted cooperative NOMA transmissions, the spatial randomness of user locations is taken into account and both the near and far users can act as energy harvesting relays. Under the proposed transmission model, the near and far users can forward information to each other. Owing to the fact that the user locations have tremendous effect on the system performance, the user pairing scheme is devised. With the proposed scheme, closed-form expressions for the outage probability (OP) and diversity order are otained. From theoretical analysis, it is found the proposed impartial SWIPT-assisted cooperative NOMA scheme can reduce the OP and improve the diversity order of the near user, while reaching the same performance of the far user, by comparing to the conventional scheme. Numerical results demonstrate the correctness of the theoretical analysis and present the outage performance superiority of the proposed scheme to existing schemes.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"11 3 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":"123538537","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}
With the increasing demands for communications in the remote areas without terrestrial networks, satellite networks have become a promising paradigm. However, it is an issue of satisfying demands with limited resources of satellites. In this paper, considering a NOMA-enabled satellite-terrestrial network, we propose a resource allocation strategy to maximize spectral efficiency of satellites. Firstly, we formulate the optimization problem as a mixed integer nonlinear problem. Due to its non-convexity, we transform the non-convex problem into three subproblems. Then, we propose subcarrier allocation algorithm and Lagrange quick iterative water filling algorithm with low complexity to solve the subproblems. Finally, the numerical results demonstrate that the proposed low-complexity scheme is close to the optimal solution obtained by the exhaustive algorithm.
{"title":"Resource Allocation for NOMA-enabled Satellite- Terrestrial Networks","authors":"Xiaoxiao Cao, Xiaopei Chen, Qingsong Zhang, Zhijian Lin, Pingping Chen","doi":"10.1109/ICCCWorkshops55477.2022.9896656","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896656","url":null,"abstract":"With the increasing demands for communications in the remote areas without terrestrial networks, satellite networks have become a promising paradigm. However, it is an issue of satisfying demands with limited resources of satellites. In this paper, considering a NOMA-enabled satellite-terrestrial network, we propose a resource allocation strategy to maximize spectral efficiency of satellites. Firstly, we formulate the optimization problem as a mixed integer nonlinear problem. Due to its non-convexity, we transform the non-convex problem into three subproblems. Then, we propose subcarrier allocation algorithm and Lagrange quick iterative water filling algorithm with low complexity to solve the subproblems. Finally, the numerical results demonstrate that the proposed low-complexity scheme is close to the optimal solution obtained by the exhaustive algorithm.","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":"125063516","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/ICCCWorkshops55477.2022.9896652
Zewu Peng, Xinyao Feng, Mingwei Liu, Yang Yang, Huaquan Su, Hanyang Xie, Yingwei Liang, Yan Li
After three decades of development, data warehouse has been generally accepted by the industry, but the technical implementation defects and requirements such as scalability have led to the evolution of its data architecture. Data Vault provides coordinated management of multiple data areas and multiple datasets, which better meets the technical requirements of data warehouses, and makes the corresponding metadata version management an important research issue. Firstly, various entity conceptual models and metadata version management requirements in the Data Vault architecture are described, and then a meta-model for metadata version management is proposed to support expression, controlling and comparison of version evolution. Finally, based on this metamodel, a structural integrity detection algorithm is discussed to verify the ability of the metamodel to maintain metadata consistency.
{"title":"Metadata Versioning of Data Vault Data Warehouse","authors":"Zewu Peng, Xinyao Feng, Mingwei Liu, Yang Yang, Huaquan Su, Hanyang Xie, Yingwei Liang, Yan Li","doi":"10.1109/ICCCWorkshops55477.2022.9896652","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896652","url":null,"abstract":"After three decades of development, data warehouse has been generally accepted by the industry, but the technical implementation defects and requirements such as scalability have led to the evolution of its data architecture. Data Vault provides coordinated management of multiple data areas and multiple datasets, which better meets the technical requirements of data warehouses, and makes the corresponding metadata version management an important research issue. Firstly, various entity conceptual models and metadata version management requirements in the Data Vault architecture are described, and then a meta-model for metadata version management is proposed to support expression, controlling and comparison of version evolution. Finally, based on this metamodel, a structural integrity detection algorithm is discussed to verify the ability of the metamodel to maintain metadata consistency.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"102 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":"130193765","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/ICCCWorkshops55477.2022.9896716
Zixian Chen, Xiang Chen, Yuhan Dong, Sihui Zheng
For multi-user satellite Internet of Things (IoT) systems operating at lower signal-to-noise ratio, spread spectrum techniques are usually used to combat narrowband interference. In addition, the communication performance in the spread spectrum system depends on the anti-jamming ability of the spreading codes (SCs). Therefore, how to design the SCs distributed scheduling strategies under multi-users requirements and resource constraints has become a crucial problem for satellite IoT systems. In this paper, the number of collisions and the amount of transmitted data are introduced as gauges to measure the distributed scheduling performance of the satellite multi-user systems. Specifically, terminal gateways (TGs) must efficiently and effectively select limited available SCs according to their state at each communication time slot independently. The SCs distributed scheduling problem is formulated as a Markov Decision Process (MDP) along with the observed environments composed of resource status and TGs status. Then a deep rein-forcement learning scheduling algorithm is devised by combining the A2C framework and the idea of multi-user. Simulation results show that the proposed algorithm can achieve much better performance than traditional algorithms in reducing scheduling conflicts and improving communication efficiency. Finally, we draw some conclusions.
{"title":"Multi - Agent Deep Deterministic Policy Gradient Based Satellite Spectrum/Code Resource Scheduling with Multi-constraint","authors":"Zixian Chen, Xiang Chen, Yuhan Dong, Sihui Zheng","doi":"10.1109/ICCCWorkshops55477.2022.9896716","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896716","url":null,"abstract":"For multi-user satellite Internet of Things (IoT) systems operating at lower signal-to-noise ratio, spread spectrum techniques are usually used to combat narrowband interference. In addition, the communication performance in the spread spectrum system depends on the anti-jamming ability of the spreading codes (SCs). Therefore, how to design the SCs distributed scheduling strategies under multi-users requirements and resource constraints has become a crucial problem for satellite IoT systems. In this paper, the number of collisions and the amount of transmitted data are introduced as gauges to measure the distributed scheduling performance of the satellite multi-user systems. Specifically, terminal gateways (TGs) must efficiently and effectively select limited available SCs according to their state at each communication time slot independently. The SCs distributed scheduling problem is formulated as a Markov Decision Process (MDP) along with the observed environments composed of resource status and TGs status. Then a deep rein-forcement learning scheduling algorithm is devised by combining the A2C framework and the idea of multi-user. Simulation results show that the proposed algorithm can achieve much better performance than traditional algorithms in reducing scheduling conflicts and improving communication efficiency. Finally, we draw some conclusions.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"6 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":"121482749","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/ICCCWorkshops55477.2022.9896640
Chenxi Si, Shuangyang Li, Mengmeng Liu, B. Bai, Jiaqing Wang
In this paper, we propose a novel iterative receiver for the coded faster-than-Nyquist (FTN) system over multipath Rayleigh fading channels, where the receiver processing can be described by a multi-layer structure. Specifically, the successive interference cancellation is adopted among different layers to eliminate the multipath interference, while a carefully designed truncated BCJR algorithm based on the Ungerboeck model is utilized to deal with the inter-symbol interference for each layer. Furthermore, we derive a concise graphical model to describe the proposed FTN receiver and further introduce a novel iterative strategy according to the message passing framework. Simulation results show that the proposed receiver can successfully recover the FTN signal under various channel conditions, and demonstrate that the FTN system has good diversity potential. In particular, compared to the Nyquist system, the proposed FTN receiver is able to attain 25% spectral efficiency gain at the cost of negligible frame error rate loss.
{"title":"An Iterative Receiver for Coded Faster-than-Nyquist Signaling over Rayleigh Fading Channels","authors":"Chenxi Si, Shuangyang Li, Mengmeng Liu, B. Bai, Jiaqing Wang","doi":"10.1109/ICCCWorkshops55477.2022.9896640","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896640","url":null,"abstract":"In this paper, we propose a novel iterative receiver for the coded faster-than-Nyquist (FTN) system over multipath Rayleigh fading channels, where the receiver processing can be described by a multi-layer structure. Specifically, the successive interference cancellation is adopted among different layers to eliminate the multipath interference, while a carefully designed truncated BCJR algorithm based on the Ungerboeck model is utilized to deal with the inter-symbol interference for each layer. Furthermore, we derive a concise graphical model to describe the proposed FTN receiver and further introduce a novel iterative strategy according to the message passing framework. Simulation results show that the proposed receiver can successfully recover the FTN signal under various channel conditions, and demonstrate that the FTN system has good diversity potential. In particular, compared to the Nyquist system, the proposed FTN receiver is able to attain 25% spectral efficiency gain at the cost of negligible frame error rate loss.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"23 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":"127530498","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/ICCCWorkshops55477.2022.9896681
Rui Peng, Yadong Zhao, Yafei Tian, Shengqian Han
Device free wireless sensing is an important research direction for next generation communication systems, which attracts increasing attention recently. Hand gesture recognition is one of the most popular applications. Although gesture recognition via commodity WiFi or Long Term Evolution (LTE) signal is well studied, seldom work exploits New Radio (NR) signal despite NR is already extensively commercialized. Compared with previous wideband communication system, the maximum bandwidth of NR is further improved to 100 MHz in Frequency Range 1. On this basis, we propose an NR based hand gesture recognition scheme in the presence of interference activities. We analyze the effect of time domain channel path leakage, and propose a multi-path extraction and combination method, which can separate the expected gesture from background movements. A prototype system is built to demonstrate the performance of gesture recognition in the presence of interference, and the influence of signal bandwidth is studied as well.
{"title":"Device Free Wireless Gesture Recognition by 5G-NR Signal","authors":"Rui Peng, Yadong Zhao, Yafei Tian, Shengqian Han","doi":"10.1109/ICCCWorkshops55477.2022.9896681","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896681","url":null,"abstract":"Device free wireless sensing is an important research direction for next generation communication systems, which attracts increasing attention recently. Hand gesture recognition is one of the most popular applications. Although gesture recognition via commodity WiFi or Long Term Evolution (LTE) signal is well studied, seldom work exploits New Radio (NR) signal despite NR is already extensively commercialized. Compared with previous wideband communication system, the maximum bandwidth of NR is further improved to 100 MHz in Frequency Range 1. On this basis, we propose an NR based hand gesture recognition scheme in the presence of interference activities. We analyze the effect of time domain channel path leakage, and propose a multi-path extraction and combination method, which can separate the expected gesture from background movements. A prototype system is built to demonstrate the performance of gesture recognition in the presence of interference, and the influence of signal bandwidth is studied as well.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"9 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":"121669971","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/ICCCWorkshops55477.2022.9896682
Kang Wang, Peiran Wu, M. Xia
To support increasing number of wireless devices under limited spectrum resources, it is of great significance to explore more efficient spectrum usage strategies. In this paper, a spectrum states prediction approach based on long short-term memory (LSTM) has been proposed to reduce latency and improve spectrum efficiency. We first determine the threshold adaptively by the kernel density estimation (KDE) method, and then data preprocessing is performed on the retrieved dataset. After that, the preprocessed data is fed into the LSTM network for training and validation. The proposed scheme is capable of single-step and multi-step prediction with different time resolutions. At last, simulation results are presented and discussed to show the effectiveness of the proposed approach. By taking advantage of the information in historical data, the devices can perform channel pre-selection and avoid conflict efficiently.
{"title":"Multi-Step Spectrum States Prediction Based on Long Short-Term Memory","authors":"Kang Wang, Peiran Wu, M. Xia","doi":"10.1109/ICCCWorkshops55477.2022.9896682","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896682","url":null,"abstract":"To support increasing number of wireless devices under limited spectrum resources, it is of great significance to explore more efficient spectrum usage strategies. In this paper, a spectrum states prediction approach based on long short-term memory (LSTM) has been proposed to reduce latency and improve spectrum efficiency. We first determine the threshold adaptively by the kernel density estimation (KDE) method, and then data preprocessing is performed on the retrieved dataset. After that, the preprocessed data is fed into the LSTM network for training and validation. The proposed scheme is capable of single-step and multi-step prediction with different time resolutions. At last, simulation results are presented and discussed to show the effectiveness of the proposed approach. By taking advantage of the information in historical data, the devices can perform channel pre-selection and avoid conflict efficiently.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"183 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":"115824450","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/ICCCWorkshops55477.2022.9896705
Liying Ma, Yi Gao, Qingyun He
This paper discusses the recovery of partial sparse signal in compressed sensing. Firstly, a $l_{q} (0 < q< 1)$ non-convex optimization model is developed for partial sparse signal recovery under noisy measurement. Secondly, according to the existing partial $l_{q}$ null space property ($l_{q}$-NSP), we propose the partial $l_{q}$ robust null space property ($l_{q}$-RNSP) and the partial $l_{2,q}$ robust null space property ($1_{2,q}$-RNSP), and it is show that both properties are weaker than the partial restricted isometry property (RIP) proposed in the existing reference. Finally, the robustness estimation of the model solution is established based on the partial RNSP.
{"title":"Robustness of Partial Sparse Signal Recovery Based on $l_{q}$ Minimization Model","authors":"Liying Ma, Yi Gao, Qingyun He","doi":"10.1109/ICCCWorkshops55477.2022.9896705","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896705","url":null,"abstract":"This paper discusses the recovery of partial sparse signal in compressed sensing. Firstly, a $l_{q} (0 < q< 1)$ non-convex optimization model is developed for partial sparse signal recovery under noisy measurement. Secondly, according to the existing partial $l_{q}$ null space property ($l_{q}$-NSP), we propose the partial $l_{q}$ robust null space property ($l_{q}$-RNSP) and the partial $l_{2,q}$ robust null space property ($1_{2,q}$-RNSP), and it is show that both properties are weaker than the partial restricted isometry property (RIP) proposed in the existing reference. Finally, the robustness estimation of the model solution is established based on the partial RNSP.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"4 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":"126459106","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/ICCCWorkshops55477.2022.9896667
Yangyang Wang, Yawen Chen, Zhaoming Lu, X. Wen
Millimeter wave (mmWave) enabled unmanned aerial vehicle (UAV) communications featured by high flexibility and data rate, are widely regarded as an essential element of 6G networks. This paper focuses on the dynamic resource allocation of mmWave UAV communication systems. This problem as a joint optimization of the 3D UAV trajectory, beamwidth and power allocation, with the objective of maximizing normalized spectral efficiency (NSE). Considering that this problem is non-convex and can not be solved directly with the traditional methods, we propose to decouple it into two tractable sub-problems. Moreover, we propose two deep deterministic policy gradient (DDPG)-based algorithms to effectively find the optimal solution in continuous space. Simulation results show that the proposed DDPG-based algorithms can significantly improve throughput.
{"title":"Dynamic Resource Allocation for MmWave UAV Communications: A Deep Reinforcement Learning Approach","authors":"Yangyang Wang, Yawen Chen, Zhaoming Lu, X. Wen","doi":"10.1109/ICCCWorkshops55477.2022.9896667","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896667","url":null,"abstract":"Millimeter wave (mmWave) enabled unmanned aerial vehicle (UAV) communications featured by high flexibility and data rate, are widely regarded as an essential element of 6G networks. This paper focuses on the dynamic resource allocation of mmWave UAV communication systems. This problem as a joint optimization of the 3D UAV trajectory, beamwidth and power allocation, with the objective of maximizing normalized spectral efficiency (NSE). Considering that this problem is non-convex and can not be solved directly with the traditional methods, we propose to decouple it into two tractable sub-problems. Moreover, we propose two deep deterministic policy gradient (DDPG)-based algorithms to effectively find the optimal solution in continuous space. Simulation results show that the proposed DDPG-based algorithms can significantly improve throughput.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"23 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":"130385407","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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