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In this article, a novel resource management method, consisting of power and channel allocation, is proposed to solve this problem. An optimization model to maximum the system throughput and spectrum efficiency of the system, which is constrained by Signal to Interference plus Noise Ratio requirements of all users in diverse layers, is established. To solve the non-convex mixed integer nonlinear optimization problem, the optimization model is decomposed into two sub-problems, which are all solvable quasi-convex power allocation and non-convex channel allocation. The first step is to solve a power allocation problem based on solid geometric programming with the vertex search method. Then, a channel allocation constructed by three-dimensional hypergraph matching is established, and the best result of this problem is obtained by a heuristic greed algorithm based on the bipartite conflict graph and \u00b5-claw search. Finally, the simulation results show that the proposed scheme improves the throughput performance at least 6% over other algorithms. <\/jats:p>","DOI":"10.1177\/1550147720951337","type":"journal-article","created":{"date-parts":[[2020,8,25]],"date-time":"2020-08-25T08:26:55Z","timestamp":1598344015000},"page":"155014772095133","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Hypergraph-based resource allocation for Device-to-Device underlay H-CRAN network"],"prefix":"10.1177","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0480-8619","authenticated-orcid":false,"given":"Pan","family":"Zhao","sequence":"first","affiliation":[{"name":"Key Laboratory of Grain Information Processing and Control, Ministry of Education, Henan University of Technology, Zhengzhou, China"},{"name":"State key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, 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