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Conference Paper: Optimal User Scheduling and Power Allocation for Millimeter Wave NOMA Systems
Title | Optimal User Scheduling and Power Allocation for Millimeter Wave NOMA Systems |
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Authors | |
Keywords | Millimeter wave (mm-wave) non-orthogonal multiple access (NOMA) power allocation user scheduling |
Issue Date | 2018 |
Citation | IEEE Transactions on Wireless Communications, 2018, v. 17, n. 3, p. 1502-1517 How to Cite? |
Abstract | This paper investigates the application of non-orthogonal multiple access (NOMA) in millimeter wave (mm-Wave) communications by exploiting beamforming, user scheduling, and power allocation. Random beamforming is invoked for reducing the feedback overhead of the considered system. A non-convex optimization problem for maximizing the sum rate is formulated, which is proved to be NP-hard. The branch and bound approach is invoked to obtain the ∈-optimal power allocation policy, which is proved to converge to a global optimal solution. To elaborate further, a low-complexity suboptimal approach is developed for striking a good computational complexity-optimality tradeoff, where the matching theory and successive convex approximation techniques are invoked for tackling the user scheduling and power allocation problems, respectively. Simulation results reveal that: 1) the proposed low complexity solution achieves a near-optimal performance and 2) the proposed mm-Wave NOMA system is capable of outperforming conventional mm-Wave orthogonal multiple access systems in terms of sum rate and the number of served users. |
Persistent Identifier | http://hdl.handle.net/10722/348877 |
ISSN | 2023 Impact Factor: 8.9 2023 SCImago Journal Rankings: 5.371 |
DC Field | Value | Language |
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dc.contributor.author | Cui, Jingjing | - |
dc.contributor.author | Liu, Yuanwei | - |
dc.contributor.author | Ding, Zhiguo | - |
dc.contributor.author | Fan, Pingzhi | - |
dc.contributor.author | Nallanathan, Arumugam | - |
dc.date.accessioned | 2024-10-17T06:54:40Z | - |
dc.date.available | 2024-10-17T06:54:40Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | IEEE Transactions on Wireless Communications, 2018, v. 17, n. 3, p. 1502-1517 | - |
dc.identifier.issn | 1536-1276 | - |
dc.identifier.uri | http://hdl.handle.net/10722/348877 | - |
dc.description.abstract | This paper investigates the application of non-orthogonal multiple access (NOMA) in millimeter wave (mm-Wave) communications by exploiting beamforming, user scheduling, and power allocation. Random beamforming is invoked for reducing the feedback overhead of the considered system. A non-convex optimization problem for maximizing the sum rate is formulated, which is proved to be NP-hard. The branch and bound approach is invoked to obtain the ∈-optimal power allocation policy, which is proved to converge to a global optimal solution. To elaborate further, a low-complexity suboptimal approach is developed for striking a good computational complexity-optimality tradeoff, where the matching theory and successive convex approximation techniques are invoked for tackling the user scheduling and power allocation problems, respectively. Simulation results reveal that: 1) the proposed low complexity solution achieves a near-optimal performance and 2) the proposed mm-Wave NOMA system is capable of outperforming conventional mm-Wave orthogonal multiple access systems in terms of sum rate and the number of served users. | - |
dc.language | eng | - |
dc.relation.ispartof | IEEE Transactions on Wireless Communications | - |
dc.subject | Millimeter wave (mm-wave) | - |
dc.subject | non-orthogonal multiple access (NOMA) | - |
dc.subject | power allocation | - |
dc.subject | user scheduling | - |
dc.title | Optimal User Scheduling and Power Allocation for Millimeter Wave NOMA Systems | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/TWC.2017.2779504 | - |
dc.identifier.scopus | eid_2-s2.0-85038365711 | - |
dc.identifier.volume | 17 | - |
dc.identifier.issue | 3 | - |
dc.identifier.spage | 1502 | - |
dc.identifier.epage | 1517 | - |