Joint-eMBB-URLLC-master

说明：  在Underlay Device-to-Device通讯环境下，考虑到基站对D2D接收团应如何分配资源 提高全体网络系统性能所必需的。 本文是在无线移动通信环境中均匀分布的蜂箱用户和D2D 针对有效的资源分配，运用了利用Gale-Shapley算法的配比理论。 …通过模拟实验获得的有限资源。 当Gale-Shapley运算法则对Gale-Shapley运算法则中的D2D页面进行测试时， 检验了整个系统性能的提高。(In the Underlay device-to-device communication environment, how should the base station allocate resources to the D2D receiving group Required to improve overall network system performance. In this paper, beehive users and D2D are uniformly distributed in wireless mobile communication environment Aiming at the effective resource allocation, the matching theory using Gale-Shapley algorithm is applied. ... Limited resources obtained through simulation experiments. When the GALe-Shapley algorithm tested the D2D page in gale-Shapley algorithm, The performance improvement of the whole system is examined.)

Joint-eMBB-URLLC-master, 0 , 2020-10-02
Joint-eMBB-URLLC-master\.gitignore, 1340 , 2020-10-02
Joint-eMBB-URLLC-master\README.md, 100 , 2020-10-02
Joint-eMBB-URLLC-master\libs, 0 , 2020-10-02
Joint-eMBB-URLLC-master\libs\__init__.py, 0 , 2020-10-02
Joint-eMBB-URLLC-master\libs\models, 0 , 2020-10-02
Joint-eMBB-URLLC-master\libs\models\__init__.py, 0 , 2020-10-02
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Joint-eMBB-URLLC-master\libs\models\dc_main.m, 451 , 2020-10-02
Joint-eMBB-URLLC-master\libs\models\greedy_solver.py, 2920 , 2020-10-02
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Joint-eMBB-URLLC-master\libs\user.py, 6328 , 2020-10-02
Joint-eMBB-URLLC-master\tools, 0 , 2020-10-02
Joint-eMBB-URLLC-master\tools\Joint Traffic Test.ipynb, 13135 , 2020-10-02
Joint-eMBB-URLLC-master\tools\_init_paths.py, 308 , 2020-10-02
Joint-eMBB-URLLC-master\tools\eval.py, 2232 , 2020-10-02
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Joint-eMBB-URLLC-master\utils\metrics.py, 339 , 2020-10-02
Joint-eMBB-URLLC-master\utils\utils.py, 316 , 2020-10-02