{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T05:55:28Z","timestamp":1770270928281,"version":"3.49.0"},"reference-count":26,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2022,10,17]],"date-time":"2022-10-17T00:00:00Z","timestamp":1665964800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/http\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Int J Communication"],"published-print":{"date-parts":[[2023,1,10]]},"abstract":"<jats:title>Summary<\/jats:title><jats:p>There are many challenges in fifth generation (5G) telecommunication systems, due to the increasing demands and applications. The most important of which are need to have higher energy efficiency (EE) and spectral efficiency (SE). They are critical in the practical multiple\u2010input multiple\u2010output (MIMO) telecommunication systems. Non\u2010orthogonal multiple access (NOMA) methods and millimeter\u2010waves can be used in conjunction with MIMO systems to improve their EE and SE performance. In this paper, we investigate the application of NOMA and mm\u2010Wave transmission in the downlink of MIMO systems. Then, we formulate the optimization problem for users in MIMO\u2010NOMA systems to maximize the EE that is subject to minimum data rate to satisfy required quality of service (QoS) and maximum transmission power. To achieve the optimal power allocation for users, we reach a problem for the EE maximization that is non\u2010convex and solution of the optimization problem is not trivial. We exploit a lower bound of the data rate and the Lagrange dual function to convert it to a convex and unconstrained problem, which is easy to solve. In the next step, we derive a relation for determining the optimal power allocation of users. In addition, a numerical algorithm is presented that can be used to solve the problem. According to the simulation results of the proposed algorithm, our method performs better and provides higher EE than both orthogonal multiple access and equal power allocation schemes.<\/jats:p>","DOI":"10.1002\/dac.5370","type":"journal-article","created":{"date-parts":[[2022,10,18]],"date-time":"2022-10-18T04:40:01Z","timestamp":1666068001000},"update-policy":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["An energy\u2010efficient power allocation scheme for millimeter\u2010wave MIMO\u2010NOMA systems"],"prefix":"10.1002","volume":"36","author":[{"given":"Abdolrasoul","family":"Sakhaei Gharagezlou","sequence":"first","affiliation":[{"name":"Faculty of Electrical and Computer Engineering University of Tabriz  Tabriz Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/2.zoppoz.workers.dev:443\/https\/orcid.org\/0000-0002-1926-743X","authenticated-orcid":false,"given":"Mahdi","family":"Nangir","sequence":"additional","affiliation":[{"name":"Faculty of Electrical and Computer Engineering University of Tabriz  Tabriz Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amir","family":"Poorfaraj Liqvan","sequence":"additional","affiliation":[{"name":"Faculty of Electrical and Computer Engineering University of Tabriz  Tabriz Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Azadeh","family":"Abedi Jirdehi","sequence":"additional","affiliation":[{"name":"Faculty of Electrical and Computer Engineering University of Tabriz  Tabriz Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2022,10,17]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2021.3059877"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2819645"},{"key":"e_1_2_7_4_1","doi-asserted-by":"crossref","unstructured":"KimIS ChoiJ.Performance of cell\u2010free mmWave massive MIMO systems with fronthaul compression and DAC quantization. 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