2020/05/27 by Foad Barghikar, Barghikar, Foad, Foroogh S. Tabataba +3
Engineering · #Advanced Wireless Communication Technologies #FOS: Electrical engineering #Indoor and Outdoor Localization Technologies #Millimeter-Wave Propagation and Modeling #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2005.13182
openalex publication_date 2020/05/27 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28
In this paper, a new framework for optimizing the resource allocation in a\nmillimeter-wave-non-orthogonal multiple access (mmWave-NOMA) communication for\ncrowded venues is proposed. MmWave communications suffer from severe blockage\ncaused by obstacles such as the human body, especially in a dense region. Thus,\na detailed method for modeling the blockage events in the in-venue scenarios is\nintroduced. Also, several mmWave access points are considered in different\nlocations. To maximize the network sum rate, the resource allocation problem is\nformulated as a mixed integer non-linear programming, which is NP-hard in\ngeneral. Hence, a three-stage low-complex solution is proposed to solve the\nproblem. At first, a user scheduling algorithm, i.e., modified worst connection\nswapping (MWCS), is proposed. Secondly, the antenna allocation problem is\nsolved using the simulated annealing algorithm. Afterward, to maximize the\nnetwork sum rate and guarantee the quality of service constraints, a non-convex\npower allocation optimization problem is solved by adopting the difference of\nconvex programming approach. The simulation results show that, under the\nblockage effect, the proposed mmWave-NOMA scheme performs on average 23% better\nthan the conventional mmWave-orthogonal multiple access scheme. Moreover, the\nperformance of proposed solution is 11.4% lower than the optimal value while\nreducing complexity by 96%.\n