{"title":"Deep Learning Based Energy-Efficient Hybird RSMA for UAV-Assisted mmWave Communications","authors":"Kehao Wang;Yingzhao Sun;Tony Q. S. Quek","doi":"10.1109/TVT.2024.3502792","DOIUrl":null,"url":null,"abstract":"This paper investigates hybrid rate-splitting multiple access (RSMA) in unmanned aerial vehicle (UAV) assisted millimeter-wave (mmWave) communication network (RSMA-UAV-MMWCN), where a UAV transmits messages to multiple ground user equipment under the influence of an external jammer. We formulate a non-convex joint optimization problem involving hybrid RSMA matrices and a common rate allocation vector, with the objective of maximizing energy efficiency while approaching the performance of ideal hybrid RSMA. Departing from traditional non-convex problem-solving methods, we introduce a hybrid RSMA optimization scheme based on deep residual networks to enhance the feasibility of hybrid precoding and decoding. Initially, due to the absence of standardized and universal datasets, we propose a dataset generation algorithm to create training and testing datasets for subsequent communication model training. Subsequently, we construct a loss function that integrates the objective function with the constraints of the optimization problem. Lastly, to ensure that the optimization variables strictly comply with the constraints, we design a mandatory constraint module comprising modulus, power, and rate constraint sub-modules. Simulation results demonstrate that the proposed algorithm surpasses traditional optimization methods, and RSMA shows significant advantages over conventional multiple access (MA) schemes.","PeriodicalId":13421,"journal":{"name":"IEEE Transactions on Vehicular Technology","volume":"74 3","pages":"4625-4638"},"PeriodicalIF":6.1000,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Vehicular Technology","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10759308/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
This paper investigates hybrid rate-splitting multiple access (RSMA) in unmanned aerial vehicle (UAV) assisted millimeter-wave (mmWave) communication network (RSMA-UAV-MMWCN), where a UAV transmits messages to multiple ground user equipment under the influence of an external jammer. We formulate a non-convex joint optimization problem involving hybrid RSMA matrices and a common rate allocation vector, with the objective of maximizing energy efficiency while approaching the performance of ideal hybrid RSMA. Departing from traditional non-convex problem-solving methods, we introduce a hybrid RSMA optimization scheme based on deep residual networks to enhance the feasibility of hybrid precoding and decoding. Initially, due to the absence of standardized and universal datasets, we propose a dataset generation algorithm to create training and testing datasets for subsequent communication model training. Subsequently, we construct a loss function that integrates the objective function with the constraints of the optimization problem. Lastly, to ensure that the optimization variables strictly comply with the constraints, we design a mandatory constraint module comprising modulus, power, and rate constraint sub-modules. Simulation results demonstrate that the proposed algorithm surpasses traditional optimization methods, and RSMA shows significant advantages over conventional multiple access (MA) schemes.
期刊介绍:
The scope of the Transactions is threefold (which was approved by the IEEE Periodicals Committee in 1967) and is published on the journal website as follows: Communications: The use of mobile radio on land, sea, and air, including cellular radio, two-way radio, and one-way radio, with applications to dispatch and control vehicles, mobile radiotelephone, radio paging, and status monitoring and reporting. Related areas include spectrum usage, component radio equipment such as cavities and antennas, compute control for radio systems, digital modulation and transmission techniques, mobile radio circuit design, radio propagation for vehicular communications, effects of ignition noise and radio frequency interference, and consideration of the vehicle as part of the radio operating environment. Transportation Systems: The use of electronic technology for the control of ground transportation systems including, but not limited to, traffic aid systems; traffic control systems; automatic vehicle identification, location, and monitoring systems; automated transport systems, with single and multiple vehicle control; and moving walkways or people-movers. Vehicular Electronics: The use of electronic or electrical components and systems for control, propulsion, or auxiliary functions, including but not limited to, electronic controls for engineer, drive train, convenience, safety, and other vehicle systems; sensors, actuators, and microprocessors for onboard use; electronic fuel control systems; vehicle electrical components and systems collision avoidance systems; electromagnetic compatibility in the vehicle environment; and electric vehicles and controls.