Interference Coordination With Multi-Dimensional Resource Optimization for Terahertz UAV Communications
Unmanned aerial vehicle (UAV) communication in the terahertz (THz) band is considered a significant direction for future communication systems development. This is due to the convenient deployment of UAVs combined with the ultra-high-speed data transmission and non-destructive detection offered by T...
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Veröffentlicht in: | IEEE wireless communications letters 2024-09, Vol.13 (9), p.2467-2471 |
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creator | Liang, Liang Hui, Yuxin Wen, Wanli Jia, Yunjian |
description | Unmanned aerial vehicle (UAV) communication in the terahertz (THz) band is considered a significant direction for future communication systems development. This is due to the convenient deployment of UAVs combined with the ultra-high-speed data transmission and non-destructive detection offered by THz technology. The THz band, propagating in air with high molecular absorption loss, inherently limits the propagation distance. To mitigate this, propagation loss is typically compensated using directional communication and dense deployment strategies. However, these strategies increase the operational difficulty of UAVs, subsequently causing serious signal interference issues. To address this, we transform this problem into a multi-dimensional resource optimization problem and propose a Sequential Iterative (SI) optimization algorithm based on the principles of space division multiple access (SDMA) and frequency division multiple access (FDMA) to achieve efficient resource allocation so as to reduce interference and improve the overall system performance. Through numerical simulations, we verify the effectiveness of SI. |
doi_str_mv | 10.1109/LWC.2024.3419754 |
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This is due to the convenient deployment of UAVs combined with the ultra-high-speed data transmission and non-destructive detection offered by THz technology. The THz band, propagating in air with high molecular absorption loss, inherently limits the propagation distance. To mitigate this, propagation loss is typically compensated using directional communication and dense deployment strategies. However, these strategies increase the operational difficulty of UAVs, subsequently causing serious signal interference issues. To address this, we transform this problem into a multi-dimensional resource optimization problem and propose a Sequential Iterative (SI) optimization algorithm based on the principles of space division multiple access (SDMA) and frequency division multiple access (FDMA) to achieve efficient resource allocation so as to reduce interference and improve the overall system performance. 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This is due to the convenient deployment of UAVs combined with the ultra-high-speed data transmission and non-destructive detection offered by THz technology. The THz band, propagating in air with high molecular absorption loss, inherently limits the propagation distance. To mitigate this, propagation loss is typically compensated using directional communication and dense deployment strategies. However, these strategies increase the operational difficulty of UAVs, subsequently causing serious signal interference issues. To address this, we transform this problem into a multi-dimensional resource optimization problem and propose a Sequential Iterative (SI) optimization algorithm based on the principles of space division multiple access (SDMA) and frequency division multiple access (FDMA) to achieve efficient resource allocation so as to reduce interference and improve the overall system performance. Through numerical simulations, we verify the effectiveness of SI.</description><subject>Absorption</subject><subject>Algorithms</subject><subject>Autonomous aerial vehicles</subject><subject>Communications systems</subject><subject>Data transmission</subject><subject>directional communication</subject><subject>Frequency division multiple access</subject><subject>Interference</subject><subject>interference coordination</subject><subject>Molecular absorption</subject><subject>Optimization</subject><subject>Resource allocation</subject><subject>Resource management</subject><subject>resource optimization</subject><subject>Signal to noise ratio</subject><subject>Terahertz communications</subject><subject>Terahertz frequencies</subject><subject>THz</subject><subject>UAV</subject><subject>Unmanned aerial vehicles</subject><issn>2162-2337</issn><issn>2162-2345</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpNkM1Lw0AQxRdRsNTePXgIeE7d2Y9scizxq1ApSGuPIUln7ZYmqbubg_3r3doizmWGmd88Ho-QW6BjAJo9zFb5mFEmxlxApqS4IAMGCYsZF_Lyb-bqmoyc29JQCQUG6YB8TluPVqPFtsYo7zq7Nm3pTddGK-M30Vu_8yZ-NA22LizLXfSOruttgOd7bxpzOMG6s9ECbblB6w_RcvIRtJqmb039e3c35EqXO4ejcx-S5fPTIn-NZ_OXaT6ZxTUo6WOVcpZxDTxJg7010ykFqKTiTGsAhFKxROt1WtUqlRQrRCFYVYIua55mVPAhuT_p7m331aPzxTa4Db5dwYGyLJE0k4GiJ6q2nXMWdbG3pintdwG0OCZahESLY6LFOdHwcnd6MYj4D5dKcMH4D8gCco4</recordid><startdate>20240901</startdate><enddate>20240901</enddate><creator>Liang, Liang</creator><creator>Hui, Yuxin</creator><creator>Wen, Wanli</creator><creator>Jia, Yunjian</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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subjects | Absorption Algorithms Autonomous aerial vehicles Communications systems Data transmission directional communication Frequency division multiple access Interference interference coordination Molecular absorption Optimization Resource allocation Resource management resource optimization Signal to noise ratio Terahertz communications Terahertz frequencies THz UAV Unmanned aerial vehicles |
title | Interference Coordination With Multi-Dimensional Resource Optimization for Terahertz UAV Communications |
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