{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T18:11:45Z","timestamp":1789668705219,"version":"4.0.1"},"reference-count":40,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2025,2,8]],"date-time":"2025-02-08T00:00:00Z","timestamp":1738972800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Science and Technology Innovation Key R&amp;D Program of Chongqing","award":["CSTB2023TIAD-STX0025"],"award-info":[{"award-number":["CSTB2023TIAD-STX0025"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>In the face of rapidly evolving communication technologies and increasing user demands, traditional terrestrial networks are challenged by the need for high-quality, high-speed, and reliable communication. This paper explores the integration of heterogeneous satellite networks (HSN) with emerging technologies such as Mobile Edge Computing (MEC), in-network caching, and Software-Defined Networking (SDN) to enhance service efficiency. By leveraging dual-layer satellite networks combining Low Earth Orbit (LEO) and Geostationary Earth Orbit (GEO) satellites, the study addresses resource allocation and interference coordination challenges. This paper proposes a novel resource allocation and interference coordination strategy for dual-layer satellite networks integrating LEO and GEO satellites. We formulate a mathematical optimization problem to optimize resource allocation while minimizing co-channel interference and develop an ADMM-based distributed algorithm for efficient problem-solving. The proposed scheme enhances service efficiency by incorporating MEC, in-network caching, and SDN technologies into the satellite network. Simulation results demonstrate that our proposed algorithm significantly improves network performance by effectively managing resources and reducing interference.<\/jats:p>","DOI":"10.3390\/s25041005","type":"journal-article","created":{"date-parts":[[2025,2,10]],"date-time":"2025-02-10T03:39:47Z","timestamp":1739158787000},"page":"1005","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Resource Allocation and Interference Coordination Strategies in Heterogeneous Dual-Layer Satellite Networks"],"prefix":"10.3390","volume":"25","author":[{"given":"Jinhong","family":"Li","sequence":"first","affiliation":[{"name":"School of Communication & Information Engineering, Chongqing University Posts & Telecommunications, Chongqing 400065, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0957-7792","authenticated-orcid":false,"given":"Rong","family":"Chai","sequence":"additional","affiliation":[{"name":"School of Communication & Information Engineering, Chongqing University Posts & Telecommunications, Chongqing 400065, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tianyi","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Communication & Information Engineering, Chongqing University Posts & Telecommunications, Chongqing 400065, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4125-2840","authenticated-orcid":false,"given":"Chengchao","family":"Liang","sequence":"additional","affiliation":[{"name":"School of Communication & Information Engineering, Chongqing University Posts & Telecommunications, Chongqing 400065, China"},{"name":"Key Laboratory of Intelligent Computing for Advanced Manufacturing, Chongqing University Posts & Telecommunications, Chongqing 400065, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,2,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1109\/JIOT.2021.3103320","article-title":"6G internet of things: A comprehensive survey","volume":"9","author":"Nguyen","year":"2021","journal-title":"IEEE Internet Things J."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"668","DOI":"10.1109\/COMST.2021.3059896","article-title":"A survey on resource allocation for 5G heterogeneous networks: Current research, future trends, and challenges","volume":"23","author":"Xu","year":"2021","journal-title":"IEEE Commun. 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