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However, its efficiency requires sophisticated control mechanisms. The more context information is used by it, the higher performance of networks is expected. A facility for collecting this information, processing it, and controlling base stations managed by various network operators is a so\u2010called Radio Environment Map (REM) subsystem. This paper proposes REM\u2010based schemes for the allocation of base stations power levels in 4G\/5G networks, while considering interference generated to a licensed network. It is assumed that both networks have different profiles of served users, e.g., area of their positions and movement, which opens opportunities for spectrum sharing. The proposed schemes have been evaluated by means of extensive system\u2010level simulations and compared with two widely adopted policy\u2010based spectrum sharing reference schemes. Simulation results show that dynamic schemes utilizing rich context information outperforms static, policy\u2010based spectrum sharing schemes.<\/jats:p>","DOI":"10.1155\/2018\/3217315","type":"journal-article","created":{"date-parts":[[2018,11,11]],"date-time":"2018-11-11T18:31:44Z","timestamp":1541961104000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Context\u2010Based Spectrum Sharing in 5G Wireless Networks Based on Radio Environment Maps"],"prefix":"10.1155","volume":"2018","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9054-9416","authenticated-orcid":false,"given":"Pawe\u0142","family":"Kryszkiewicz","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6766-7836","authenticated-orcid":false,"given":"Adrian","family":"Kliks","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3434-1917","authenticated-orcid":false,"given":"\u0141ukasz","family":"Ku\u0142acz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hanna","family":"Bogucka","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7372-5139","authenticated-orcid":false,"given":"George P.","family":"Koudouridis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marcin","family":"Dryja\u0144ski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2018,11,11]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"crossref","unstructured":"CISCO Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update 2016-2021 white paper available online:https:\/\/www.cisco.com\/c\/en\/us\/solutions\/collateral\/service-provider\/visual-networking-index-vni\/complete-white-paper-c11-481360.pdf (accessed 28.03.2018)https:\/\/doi.org\/10.18004\/ucsa\/2409-8752\/2017.004(01)050-056.","DOI":"10.18004\/ucsa\/2409-8752\/2017.004(01)050-056"},{"key":"e_1_2_9_2_2","doi-asserted-by":"crossref","unstructured":"MitolaJ. 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