Dynamic Distributed Maximal Scheduling Algorithm for 5G Cellular Network

Dan Ye, Lin-Shan Lee, Kwang-Cheng Chen


To fulfill various enhanced requirements of next generation wireless access, 5G cellular network will drive towards higher energy efficiency, lower latency and higher reliable wireless networks. The key contributions can be summarized as follows: (1) this paper initially sketches future 5G communication’s blueprint, (2) creates thoughts on full duplex cognitive radio in combination with massive MIMO as an innovative candidate for enhancing spectrum usage in future 5G heterogeneous networks, (3) proposes a novel tuple-based dynamic distributed maximal scheduling (TDDMS) algorithm utilized the marriage of cross-layer optimization and throughput-optimal control to achieve global maximal capacity region. Simulation demonstrates TDDMS has superior performance than other scheduling algorithms.


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