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Spectral and Energy Efficiency of Line-of-Sight OAM-MIMO Communication Systems 被引量:6
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作者 Rui Chen Hong Zhou +1 位作者 Wen-Xuan Long Marco Moretti 《China Communications》 SCIE CSCD 2020年第9期119-127,共9页
Not only high spectral efficiency(SE)but also high energy efficiency(EE)are required for future wireless communication systems.Radio orbital angular momentum(OAM)provides a new perspective of mode multiplexing to impr... Not only high spectral efficiency(SE)but also high energy efficiency(EE)are required for future wireless communication systems.Radio orbital angular momentum(OAM)provides a new perspective of mode multiplexing to improve SE.However,there are few studies on the EE performance of OAM mode multiplexing.In this paper,we investigate the SE and EE of a misaligned uniform concentric circle array(UCCA)-based multi-carrier multimode OAM and multiple-input multiple-output(MCMM-OAM-MIMO)system in the line-ofsight(LoS)channel,in which two transceiver architectures implemented by radio frequency(RF)analog synthesis and baseband digital synthesis are considered.The distance and angle of arrival(AoA)estimation are utilized for channel estimation and signal detection,whose training overhead is much less than that of traditional MIMO systems.Simulation results validate that the UCCA-based MCMM-OAM-MIMO system is superior to conventional MIMOOFDM system in the EE and SE performances. 展开更多
关键词 orbital angular momentum(OAM) uniform concentric circle array(UCCA) spectral efficiency(SE) energy efficiency(EE)
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Energy-Efficient Deployment of Water Quality Sensor Networks 被引量:1
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作者 Qian Sun Zhiping Shen +7 位作者 Jinglin Liang Xiaoyi Wang Jiping Xu Li Wang Huiyan Zhang Jiabin Yu Ning Cao Ruichao Wang 《Computers, Materials & Continua》 SCIE EI 2021年第9期3967-3977,共11页
Water quality sensor networks are promising tools for the exploration of oceans.Some key areas need to be monitored effectively.Water quality sensors are deployed randomly or uniformly,however,and understanding how to... Water quality sensor networks are promising tools for the exploration of oceans.Some key areas need to be monitored effectively.Water quality sensors are deployed randomly or uniformly,however,and understanding how to deploy sensor nodes reasonably and realize effective monitoring of key areas on the basis of monitoring the whole area is an urgent problem to be solved.Additionally,energy is limited in water quality sensor networks.When moving sensor nodes,we should extend the life cycle of the sensor networks as much as possible.In this study,sensor nodes in non-key monitored areas are moved to key areas.First,we used the concentric circle method to determine the mobile sensor nodes and the target locations.Then,we determined the relationship between the mobile sensor nodes and the target locations according to the energy matrix.Finally,we calculated the shortest moving path according to the Floyd algorithm,which realizes the redeployment of the key monitored area.The simulation results showed that,compared with the method of direct movement,the proposed method can effectively reduce the energy consumption and save the network adjustment time based on the effective coverage of key areas. 展开更多
关键词 concentric circle method cascaded movement Floyd algorithm network coverage energy
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Localization Algorithm of Wireless Sensor Network Based on Concentric Circle Distance Calculation
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作者 KaiGuo Qian Chunfen Pu +2 位作者 Yujian Wang ShaoJun Yu Shikai Shen 《国际计算机前沿大会会议论文集》 2020年第1期405-415,共11页
Node Localization is one of the key technology in the field of wireless sensor network(WSN)that has become a challenging research topic under the lack of distance measurement.In order to solve this problem,a localizat... Node Localization is one of the key technology in the field of wireless sensor network(WSN)that has become a challenging research topic under the lack of distance measurement.In order to solve this problem,a localization algorithm based on concentric circle distance calculation(LACCDC)is proposed.The LA-CCDC takes the beacon as the center of the concentric circle,then divides the task area into concentric circles with the k communication radius of sensor,which forms concentric rings.The node located in the k hops ring intersects the concentric circle with(k−1)r radius that forms an intersection area.This area is used to calculate the distance from the beacon to the unknown node,hyperbola is then adopted to locate the unknown node.In the application scenario with node random distribution,the simulation results show that the LA-CCDC algorithm gets the node location with low error under different node number,different beacons and different communication radius of sensor. 展开更多
关键词 Wireless sensor network(WSN) Localization algorithm concentric circles Average relative positioning error(ARPE)
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