Authentication email has already been sent, please check your email box: and activate it as soon as possible.
You can login to My Profile and manage your email alerts.
If you haven’t received the email, please:
|
|
There are 177 papers published in subject: > since this site started. |
Select Subject |
Select/Unselect all | For Selected Papers |
Saved Papers
Please enter a name for this paper to be shown in your personalized Saved Papers list
|
1. A novel PAPR reduction scheme for OFDM based on visible light communication systems | |||
FANG Zhijing,ZHANG Junyi | |||
Electrics, Communication and Autocontrol Technology 26 February 2021 | |||
Show/Hide Abstract | Cite this paper︱Full-text: PDF (0 B) | |||
Abstract:Orthogonal frequency division multiplexing (OFDM) technology is available to improve the communication rate of visible light communication (VLC) systems and suppress inter-symbol crosstalk. However, one of its operational limitations is the peak-to-average power ratio (PAPR) of the transmitted signal. In respond to this problem, an optimization scheme for phase factor estimation based on partial transmit sequences (PTS) is proposed. In this scheme, the original signal of the conjugate symmetrical data block length is divided into multiple data blocks, and each data block is subjected to IFFT transformation. At the receiver, the phase factor is selected according to the output signal of the PTS. Besides, the phase factor of each transformed data is weighted, and the superimposed signal is loaded on the LED. Simulation results show that this method is available to effectively reduce the PAPR of the OFDM based on VLC systems and obtain good bit error rate (BER) performance. | |||
TO cite this article:FANG Zhijing,ZHANG Junyi. A novel PAPR reduction scheme for OFDM based on visible light communication systems[OL].[26 February 2021] http://en.paper.edu.cn/en_releasepaper/content/4753861 |
2. A minimum bandwidth occupation mechanism for collision avoidance system | |||
Ma Yanyan,Zhang Xin | |||
Electrics, Communication and Autocontrol Technology 15 January 2021 | |||
Show/Hide Abstract | Cite this paper︱Full-text: PDF (0 B) | |||
Abstract:Collision avoidance as an essential use case for vehicular networks can effectively enhance the safety of vehicles. This paper addresses how to avoid collision between vehicles and vulnerable road users(VRU), i.e., pedestrians, cyclists or motorists equipped with smartphones. Due to the limited computation resource and processing capability of smartphones, mobile edge computing (MEC) is introduced. MEC is utilized to reduce the transmission delay and relieve the network congestion, by pushing computation resource and processing capability to network edge. In particular, this paper focuses on a collision avoidance scenario including an edge collision detector, multiple vehicles and VRUs. In addition, we propose a minimum bandwidth occupation algorithm for collision warning. By calculating the consumed bandwidth of two different candidate alerting methods, we are able to decide the most efficient way, which occupates minimum bandwidth, to avoid the colliison. | |||
TO cite this article:Ma Yanyan,Zhang Xin. A minimum bandwidth occupation mechanism for collision avoidance system[OL].[15 January 2021] http://en.paper.edu.cn/en_releasepaper/content/4753372 |
3. Deep Reinforcement Learning Based Content Caching in Wireless Networks | |||
GAO Huihui,ZHAO Zhongyuan | |||
Electrics, Communication and Autocontrol Technology 22 December 2020 | |||
Show/Hide Abstract | Cite this paper︱Full-text: PDF (0 B) | |||
Abstract:Content caching is considered as an integral part of content management in wireless networks. In this paper, we studied the Deep Reinforcement Learning (DRL) based content caching scheme in wireless networks. First, an optimization problem that aims to minimize the total cost of content delivery is formulated. Second, a DRL-based algorithm is proposed to implement real time management of content caching and delivery, which can approach the optimal solution without iterations during each decision epoch. Finally, the simulation results are provided to evaluate the performance of our proposed scheme, which show that it can achieve lower cost than the existing content caching schemes. | |||
TO cite this article:GAO Huihui,ZHAO Zhongyuan. Deep Reinforcement Learning Based Content Caching in Wireless Networks[OL].[22 December 2020] http://en.paper.edu.cn/en_releasepaper/content/4753285 |
4. Dynamic and proactive caching in User-centric UDN | |||
Jiang Juzheng | |||
Electrics, Communication and Autocontrol Technology 21 May 2020 | |||
Show/Hide Abstract | Cite this paper︱Full-text: PDF (0 B) | |||
Abstract:Wireless content caching has been considered as an efficient way to reduce the traffic and energy consumption in 5G networks. As a promising technology of 5G, User-centric UDN(UUDN) break through the traditional cellular architecture, allowing users served by a following AP group(APG) as the user moving. However, caching in UUDN faces fundamental challenges due to the frequent APG refreshing, irregular user moving and APs cooperation inner each APG. In this paper, we propose a dynamic prefetch method to solve the above questions. First, we use a hybrid Markov model to predict the user\'s future position. Then, we propose an algorithm to choose the prefetch point according to both the time dimension and the spatial dimension. In the end, we put forward a specific formula to calculate the size of prefetch content according to different user moving station. In conclusion, we propose an integrate prefetching process in UUDN network solving the problem of when, where and what content to prefetch. Simulation results show that the method we proposed could get a significantly improve than the popular based method and the forward prefetch method. | |||
TO cite this article:Jiang Juzheng. Dynamic and proactive caching in User-centric UDN[OL].[21 May 2020] http://en.paper.edu.cn/en_releasepaper/content/4752130 |
5. 2-D Pair-Matching Method for L-shaped Array Based on CS Theory | |||
YU Xiaoyou,JIANG Yalin | |||
Electrics, Communication and Autocontrol Technology 13 May 2020 | |||
Show/Hide Abstract | Cite this paper︱Full-text: PDF (0 B) | |||
Abstract:To address the problems of high computational complexity and angle mismatch in 2-D DOA estimation using CS theory in the intelligent vehicle radar communication integrated system, this paper proposes a new method based on compressed sensing. Combined with the particularity of L-shaped array structure, this method firstly uses SVD processing to obtain a low-dimensional data matrix; secondly, defines the spatial synthesis angle for secondary dimensionality reduction; then uses the OMP algorithm and mathematical geometry to inversely obtain sparse parameters; finally, the subspace projection is used to achieve angle matching, so as to obtain the correct 2-D DOA estimation result. The theoretical derivation and experimental simulations show that this algorithm greatly reduces the computational complexity and improves the probability of pairing success. It also has obvious advantages for different SNR, array element number and snapshot number. | |||
TO cite this article:YU Xiaoyou,JIANG Yalin. 2-D Pair-Matching Method for L-shaped Array Based on CS Theory[OL].[13 May 2020] http://en.paper.edu.cn/en_releasepaper/content/4752071 |
6. Research on DOA Estimation Algorithm Based on Sparse Spatial Fusion | |||
YU Xiao-You,JIANG Ya-Lin | |||
Electrics, Communication and Autocontrol Technology 13 May 2020 | |||
Show/Hide Abstract | Cite this paper︱Full-text: PDF (0 B) | |||
Abstract:The note on the theory of using the compressed sensing theory to estimate the angle of arrival of the array signal in the intelligent vehicle system based on radar-communication is the spatial sparse partitioning and the optimization of the sparse reconstruction algorithm. Different partitioning methods will result in different array flow patterns, and the construction of array flow patterns is the basis of algorithm estimation. At present, the establishment of the sparse model is simply based on the equal angle or the equal sinusoidal division method. However, in the normal and end-fire directions, the orthogonality of the two is different, and the estimation results are also different. To this end, this paper designs a spatial sparse partitioning model combining the equal sinusoidal and the equal angle division. The simulation shows that this model has certain advantages compared with the traditional division method. In addition, in order to optimize the performance of the SAMP algorithm in integrated systems, this paper proposes an improved matching tracking algorithm. Based on the SAMP algorithm, this algorithm sets strict comparison of residual values as termination conditions, and automatically adjusts the number of atoms in the candidate set through an adaptive process to achieve accurate signal reconstruction. The theoretical derivation and experimental simulations show that this algorithm has obvious benifits in terms of operation speed and reconstruction accuracy while maintaining the advantages of this original algorithm. | |||
TO cite this article:YU Xiao-You,JIANG Ya-Lin. Research on DOA Estimation Algorithm Based on Sparse Spatial Fusion[OL].[13 May 2020] http://en.paper.edu.cn/en_releasepaper/content/4751929 |
7. A high-precision 3-D indoor positioning system based on artificial bee colony algorithm | |||
CHEN Wenxing,ZHANG Junyi | |||
Electrics, Communication and Autocontrol Technology 11 March 2020 | |||
Show/Hide Abstract | Cite this paper︱Full-text: PDF (0 B) | |||
Abstract:In this paper, an original three-dimensional (3-D) indoor positioning system based on visible light communication (VLC) applying artificial bee colony (ABC) algorithm is proposed. ABC algorithm is an intelligent optimization algorithm that simulates swarm behavior, which has the advantages of pure principle, fewer control parameters, easy implementation, and strong global optimization ability. In the field of visible light positioning, some positioning systems that realize visible light positioning are based on a two-dimensional (2-D) plane, which is not applicable to actual scenarios. However, the ABC algorithm used in visible light positioning system can easily achieve real three-dimensional positioning with accuracy up to the millimeter level. Simulation results show that the average positioning error can reach about 2.6mm after 40 iterations at 1m height and the simulation considers the edge points. The result of track tracking simulation shows that the average error is 1.7mm and 90.4% of the sampling points have a positioning accuracy below 3.811mm. In addition, the convergence performance simulation shows that the average error can reach 3.8mm within 40 iterations under the SNR of 30dB, and the final average error is stable at 2.6mm. From the results, it turns out that the ABC algorithm is a promising method for indoor visible light localization. | |||
TO cite this article:CHEN Wenxing,ZHANG Junyi. A high-precision 3-D indoor positioning system based on artificial bee colony algorithm[OL].[11 March 2020] http://en.paper.edu.cn/en_releasepaper/content/4751152 |
8. A Coloring-based Dynamic Channel Allocation Algorithm for Ultra-Dense Network | |||
LIU Tingting,ZHANG Jianming | |||
Electrics, Communication and Autocontrol Technology 12 March 2019 | |||
Show/Hide Abstract | Cite this paper︱Full-text: PDF (0 B) | |||
Abstract:Ultra dense network technology will become an important research direction for the development of the fifth generation (5G) mobile communication in the future. In order to improve the spectrum efficiency of ultra dense networks and coordinate downlink interference, this paper considers an ultra-dense network that separates the control plane from the user plane. Based on this, a coloring-based dynamic channel allocation (CDCA) scheme is proposed. Firstly, this scheme built a network interference topology. Secondly, a new coloring algorithm is proposed according to the state of the base station. Finally, the channel is dynamically allocated according to the channel state of the user equipment. Through the simulation results, we prove that the proposed scheme improves the average user capacity and mitigates the co-tier interference. | |||
TO cite this article:LIU Tingting,ZHANG Jianming. A Coloring-based Dynamic Channel Allocation Algorithm for Ultra-Dense Network[OL].[12 March 2019] http://en.paper.edu.cn/en_releasepaper/content/4747717 |
9. Low-Cost LoRa Geolocation: A TDOA Solution Based on On-Chip Signal Detection and GNSS Time Service | |||
ZHANG Hongwei,CHEN Xinyu,LIU Shaohua | |||
Electrics, Communication and Autocontrol Technology 11 March 2019 | |||
Show/Hide Abstract | Cite this paper︱Full-text: PDF (0 B) | |||
Abstract:In this paper, a LoRa-based geolocation solution is introduced, which is focused on the low-cost and easy-to-use. The solution takes advantage of the global navigation satellite system (GNSS) time service as a precise reference to get the Time Difference of Arrival (TDOA) on rising-edge of the receiving signal detected by reference station. The accuracy of the geolocation is mainly limited to jitter of the rising-edge caused by the bandwidth; Thus, we conducted futher mesurement and simulation to determine the deviation of geolocation so as to verify the feasiblity of the solution: 174m-319m in 50%-90% CEP is the acceptable accuracy of geolocation in many low-cost Internet of things (IoT) systems. More geolocation applications could be developed based on this research. | |||
TO cite this article:ZHANG Hongwei,CHEN Xinyu,LIU Shaohua. Low-Cost LoRa Geolocation: A TDOA Solution Based on On-Chip Signal Detection and GNSS Time Service[OL].[11 March 2019] http://en.paper.edu.cn/en_releasepaper/content/4747754 |
10. Fine-grained Handwriting Recognition Using Wi-Fi Signals in SIMO Scenario Based on WKNN | |||
LI Xudong,JIANG Ting,PAN Xu,DING Xue | |||
Electrics, Communication and Autocontrol Technology 25 February 2019 | |||
Show/Hide Abstract | Cite this paper︱Full-text: PDF (0 B) | |||
Abstract:Using wireless signals to implement new type of human-computer interaction is a hot topic in recent years. In this paper, we try to use the received signal strength indicators (RSSI) of multi-channel Wi-Fi frames to achieve fine-grained handwriting recognition. A New method of Handwriting Detection Algorithm whose average precision rate and recall rate of handwriting detection have been respectively achieved to 91.77% and 97.19% is proposed. We also designed a new kind of weighted k-nearest neighbors algorithm (WKNN) which is improved by multi-dimensional dynamic time warping (MD-DTW). It can achieve an average accuracy of 91% in the classification of 26 letters in experimental environment. | |||
TO cite this article:LI Xudong,JIANG Ting,PAN Xu, et al. Fine-grained Handwriting Recognition Using Wi-Fi Signals in SIMO Scenario Based on WKNN[OL].[25 February 2019] http://en.paper.edu.cn/en_releasepaper/content/4747345 |
Select/Unselect all | For Selected Papers |
Saved Papers
Please enter a name for this paper to be shown in your personalized Saved Papers list
|
About Sciencepaper Online | Privacy Policy | Terms & Conditions | Contact Us
© 2003-2012 Sciencepaper Online. unless otherwise stated