Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Hong, Joonpyo | - |
dc.contributor.author | Yoon, Pildo | - |
dc.contributor.author | Ahn, Suyoung | - |
dc.contributor.author | Cho, Yunhee | - |
dc.contributor.author | Na, Jeehyeon | - |
dc.contributor.author | Kwak, Jeongho | - |
dc.date.accessioned | 2023-01-17T15:10:17Z | - |
dc.date.available | 2023-01-17T15:10:17Z | - |
dc.date.created | 2023-01-05 | - |
dc.date.issued | 2022-12 | - |
dc.identifier.issn | 2169-3536 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11750/17474 | - |
dc.description.abstract | Beamforming, user scheduling and transmit power on existing interference management schemes in multi-cell mmWave networks have been independently controlled due to the high computational complexity of the problem. In this paper, we formulate a long-term utility maximization problem where beam activation, user scheduling and transmit power are incorporated in a single framework. To develop a low-complex algorithm, we first leverage the Lyapunov optimization framework to transform the original long-term problem into a series of slot-by-slot problems. Since the computational complexity to optimally solve the slot-by-slot problem is even significantly high like existing schemes, we decompose the problem into two different time scales: (i) a subproblem to find beam activation probability with a long time-scale and (ii) a subproblem to find user scheduling and power allocation with a short time-scale. Moreover, we introduce two additional gimmicks to more simplify the problem: (i) sequentially making decisions of beam activation, user scheduling, and power allocation, and (ii) considering a critical user for power allocation. Finally, via extensive simulations, we find that the proposed CRIM algorithm outperforms existing algorithms by up to 47.4% in terms of utility. | - |
dc.language | English | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Three Steps Toward Low-Complexity: Practical Interference Management in NOMA-Based mmWave Networks | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/ACCESS.2022.3227444 | - |
dc.identifier.scopusid | 2-s2.0-85144745556 | - |
dc.identifier.bibliographicCitation | IEEE Access, v.10, pp.128366 - 128379 | - |
dc.description.isOpenAccess | TRUE | - |
dc.subject.keywordAuthor | Beam ON/OFF scheduling | - |
dc.subject.keywordAuthor | user scheduling | - |
dc.subject.keywordAuthor | power allocation | - |
dc.subject.keywordAuthor | inter-beam interference | - |
dc.subject.keywordAuthor | Lyapunov optimization | - |
dc.subject.keywordPlus | ULTRA-DENSE NETWORKS | - |
dc.subject.keywordPlus | POWER ALLOCATION | - |
dc.subject.keywordPlus | MIMO | - |
dc.subject.keywordPlus | OPTIMIZATION | - |
dc.subject.keywordPlus | SYSTEM | - |
dc.citation.endPage | 128379 | - |
dc.citation.startPage | 128366 | - |
dc.citation.title | IEEE Access | - |
dc.citation.volume | 10 | - |
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