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Distributed Processing for Multi-Relay Assisted OFDM with Index Modulation
摘要： Orthogonal frequency-division multiplexing with index modulation (OFDM-IM) has become a high-profile modulation scheme for the fifth generation (5G) wireless communications, and thus been extended to multi-hop scenarios in order to improve the network coverage and energy efficiency. However, the extension of OFDM-IM to multi-relay cooperative networks is not trivial, since it is required that a complete OFDM block should be received and decoded as an entity in one node. This requirement prevents the employment of multiple relays to forward fragmented OFDM blocks on individual subcarriers. In this regard, we propose a distributed processing scheme for multi-relay assisted OFDM-IM, by which multiple relays are selected to forward signals in a per-subcarrier manner to provide optimal error performance for two-hop decode-and-forward (DF) OFDM-IM systems. Specifically, a single selected relay only needs to decode partial information carried on certain active subcarriers and forward just as for traditional OFDM systems without IM. After receiving all signals on active subcarriers forwarded by different relays, the destination can reconstruct the complete OFDM block and retrieve the full information. We analyze the average block error rate (BLER) and modulation capacity of the two-hop OFDM-IM system employing the proposed distributed DF protocol and verify the analysis by numerical simulations.
关键词： multi-carrier relay selection,decode-and-forward (DF) relaying,Orthogonal frequency-division multiplexing with index modulation (OFDM-IM),distributed system,distributed processing
更新于2025-09-23 15:22:29
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[IEEE 2019 IEEE 8th International Conference on Advanced Optoelectronics and Lasers (CAOL) - Sozopol, Bulgaria (2019.9.6-2019.9.8)] 2019 IEEE 8th International Conference on Advanced Optoelectronics and Lasers (CAOL) - Quest Method for Organizing Cloud Processing of Airborne Laser Scanning Data
摘要： Nowadays, the processing of data obtained as a result of airborne laser scanning by a group of unmanned aerial vehicles includes up to eight different stages. From the point of view of organizing such processing, it is reasonable to use modern cloud technologies. The paper proposes a new method for processing this type of data based on the social model of completing game quests. Portions of data arrive at a computing system consisting of several clouds where, in turn, multifunctional SaaS nodes operate. Each of the nodes can process one data portion once, which allows to exclude the principle of exclusive use of one node for all stages of processing a data portion. The paper proposes an original algorithm for determining the optimal node for the next stage of processing, which takes into account: the time of data portions movement between SaaS nodes, in fact, processing and waiting in the node queue. Due to carried out experiments, it was found that the implementation of the developed quest method allows to reduce the workload of SaaS nodes by the uniform distribution of processing between all nodes, which was to an average of 30%. Additionally, in the case when the number of processing nodes is less than three, the efficiency of the method decreases to zero. This paper suggests that the ques method can also be used on board of the nodes of a flying sensor network during airborne laser scanning of the area in rapid-response systems.
关键词： routing,distributed processing,cloud computing,mobile ad hoc networks,laser radar
更新于2025-09-23 15:19:57