2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)最新文献

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Joint Resource Allocation Optimization in OFDM Relay Networks with SWIET 带SWIET的OFDM中继网络联合资源分配优化
Gaofei Huang
{"title":"Joint Resource Allocation Optimization in OFDM Relay Networks with SWIET","authors":"Gaofei Huang","doi":"10.1109/W-FiCloud.2016.68","DOIUrl":"https://doi.org/10.1109/W-FiCloud.2016.68","url":null,"abstract":"Simultaneous Wireless Information and Energy Transfer (SWIET) is a promising energy harvesting technique to power energy-constrained wireless nodes in wireless communications. In wireless relay networks, employing SWIET at the source-to-relay link, an energy-constrained relay node can harvest energy from the radio-frequency (RF) signals transmitted by a source node while assisting information relaying, and thus its lifetime can be prolonged. In this paper, we investigate an orthogonal-frequency-division multiplexing (OFDM) amplify-and-forward (AF) relay network with SWIET. The goal is to maximize the end-to-end achievable rate. Unlike the work in literature where only peak transmit power constraint at source is considered, we consider both peak and average transmit power constraints at source, by which the operation time of the source's batteries can be extended. The formulated problem is non-convex because the average transmit power constraint at source and the EH constraint at relay are non-convex. To tackle this non-convex problem, we transform it into two fractional programming problems. By solving the two fractional programming problems with Dinkelbach's procedure, we propose two algorithms to achieve optimal resource allocations. Simulation results verify the optimality of our proposed resource allocation scheme and show that the average power constraint at source has much impact on the end-to-end achievable rate of the SWIET-based OFDM AF relay network.","PeriodicalId":441441,"journal":{"name":"2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126809906","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}
引用次数: 0
Dual-Backhaul Links in LTE - A Mobile Relay System for High-Speed Railways 高速铁路移动中继系统LTE中的双回程链路
Khaled M. Addali, Abderrahmane BenMimoune, F. Khasawneh, Amamer Saied, M. Kadoch
{"title":"Dual-Backhaul Links in LTE - A Mobile Relay System for High-Speed Railways","authors":"Khaled M. Addali, Abderrahmane BenMimoune, F. Khasawneh, Amamer Saied, M. Kadoch","doi":"10.1109/W-FiCloud.2016.33","DOIUrl":"https://doi.org/10.1109/W-FiCloud.2016.33","url":null,"abstract":"Serving hundreds of User Equipments onboard of a high-speed train is a very big challenge in terms of resources and mobility management. In addition to the high penetration loss, direct connection between the Evolved Node B and fast User Equipment leads to increased handoff failure rate, and increased power consumption of Vehicular User Equipments. Moreover, sufficient bandwidth may not be gotten from only one Macro Evolved Node B to cover the required throughput of the large-number of diverse-operators User Equipments. Mobile Relay mechanism has been introduced in Release 12 of LTE-Advanced system to be one of the most significant solutions to solve some of these issues. Usually, Mobile Relays are installed on the roof of the train and act as small nodes. In our work, we are considering using the Carrier Aggregation scheme to provide the sufficient bandwidth through a dual-backhaul connection with two Macro base stations. The proposed work makes the group Handoff more seamless as well as improves the user throughput. Simulation results show better performance in terms of system throughput, blocking probability, and packet loss.","PeriodicalId":441441,"journal":{"name":"2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133205584","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}
引用次数: 7
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