2019/07/19 by Durgesh Singh, Singh, Durgesh, Sasthi C. Ghosh +1
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Cooperative Communication and Network Coding #FOS: Computer and information sciences #FOS: Electrical engineering #Millimeter-Wave Propagation and Modeling #Networking and Internet Architecture (cs.NI) #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1907.08500
openalex publication_date 2019/07/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Millimeter wave (\mmWave) channels in device to device (\D2D)\ncommunication are susceptible to blockages in spite of using directional beams\nfrom multi-input multi-output (\MIMO) antennas to compensate for high\npropagation loss. This motivates one to look for the presence of obstacles\nwhile forming \D2D links among user equipments (\UEs) which are\nin motion. In \D2D communication, moving \UEs also act as\nrelays to forward data from one \UE to another which introduces the\nproblem of relay selection. The problem becomes more challenging when the\nobstacles are also in motion (dynamic obstacles) along with the moving\n\UEs. First we have developed a probabilistic model for relay selection\nwhich considers both moving \UEs and dynamic obstacles. Then we have\nanalyzed the probability of dynamic obstacles blocking a link in 3D Euclidean\nspace by exploiting the information from \MIMO radar connected to the\nbase station. Finally, using this information, we have developed unique\nstrategies based on simple geometry to find the best relay which maximizes the\nexpected data rate. Through simulations we have shown that our proposed\nstrategy gives a significant improvement in packet loss due to mobility of\nnodes and dynamic obstacles in a \mmWave channel over traditional\napproaches which do not consider dynamic obstacle's presence.\n