Browsing by Author "Xu, Juan"

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    The Mobile Base Station Strategy for Wireless Networks With Successive Interference Cancellation
    Shi, Lei; Hu, Yun; Xu, Juan; Shi, Yi; Ding, Xu (IEEE, 2019)
    Successive interference cancellation (SIC) and mobile base stations (MBSs) have been separately exploited to effectively collect data in wireless networks. This paper aims to jointly optimize SIC and MBSs movement to minimize MBS's data collection time for given data. First, we design a DPS algorithm for finding some dominating points (good locations for an MBS) in a two-dimensional area. Based on these dominating points, we build a suitable trajectory for MBS's traveling. Then, we divide the whole traveling path into many path parts and then allocate one or several time slots for each path part. In each time slot, we design a farthest-node-allocation (FNA) algorithm for scheduling node transmissions and determining the MBS's moving speed. The simulation results show that the proposed algorithm can significantly reduce the MBS's data collection time than the scheme without using the SIC.
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    Optimize the Communication Cost of 5G Internet of Vehicles through Coherent Beamforming Technology
    Wu, Lan; Xu, Juan; Shi, Lei; Shi, Yi; Zhou, Wenwen (Hindawi, 2021-05-17)
    Edge computing, which sinks a large number of complex calculations into edge servers, can effectively meet the requirement of low latency and bandwidth efficiency and can be conducive to the development of the Internet of Vehicles (IoV). However, a large number of edge servers mean a big cost, especially for the 5G scenario in IoV, because of the small coverage of 5G base stations. Fortunately, coherent beamforming (CB) technology enables fast and long-distance transmission, which gives us a possibility to reduce the number of 5G base stations without losing the whole network performance. In this paper, we try to adopt the CB technology on the IoV 5G scenario. We suppose we can arrange roadside nodes for helping transferring tasks of vehicles to the base station based on the CB technology. We first give the mathematical model and prove that it is a NP-hard model that cannot be solved directly. Therefore, we design a heuristic algorithm for an Iterative Coherent Beamforming Node Design (ICBND) algorithm to obtain the approximate optimal solution. Simulation results show that this algorithm can greatly reduce the cost of communication network infrastructure.