Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Ahn, Suyoung | - |
dc.contributor.author | Hong, Joonpyo | - |
dc.contributor.author | Cho, Yunhee | - |
dc.contributor.author | Na, Jeehyeon | - |
dc.contributor.author | Kwak, Jeongho | - |
dc.date.accessioned | 2023-12-26T18:14:26Z | - |
dc.date.available | 2023-12-26T18:14:26Z | - |
dc.date.created | 2022-03-18 | - |
dc.date.issued | 2022-01-13 | - |
dc.identifier.isbn | 9781665413329 | - |
dc.identifier.issn | 1976-7684 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11750/46874 | - |
dc.description.abstract | Small cell, mmWave, and massive Multi-Input Multi-Output (MIMO) technologies in 5G cellular networks becomes inevitable trend caused by killer applications such as holographic video which is traffic-intensive. In this paper, we study a sequential activation beam selection, user scheduling, and power allocation problem in a mmWave network with massive MIMO utilizing a physical layer preceding technique. We aim to maximize the time-Averaged utility of users with a time-Averaged transmit power constraint on top of the EdgeSON architecture, which takes advantage of both centralized and distributed characteristics. We decompose the original long-Term problem into two-Time scales in which solving the problem of choosing beam pattern is run at a slower time scale than solving user scheduling and power allocation. Then, to solve user scheduling and power allocation, we leverage the Lyapunov drift-plus-penalty framework which transforms an original long-Term average problem into per-slot modified sub-problems. Since provided per-slot problem to find a set of user scheduling and power allocation is known as NP-hard, we propose a low-complex and practical interference management algorithm, namely CRIM, by introducing two critical users with the highest interference channel gain in intra-BS and inter-BS respectively. Finally, via extensive simulations, we verify and compare the performance of the proposed algorithm and comparing algorithms in a real mmWave network environment. © 2022 IEEE. | - |
dc.language | English | - |
dc.publisher | IEEE Computer Society | - |
dc.title | Sequential Beam, User, and Power Allocation for Interference Management in 5G mmWave Networks | - |
dc.type | Conference Paper | - |
dc.identifier.doi | 10.1109/ICOIN53446.2022.9687107 | - |
dc.identifier.scopusid | 2-s2.0-85125655756 | - |
dc.identifier.bibliographicCitation | 36th International Conference on Information Networking, ICOIN 2022, pp.429 - 434 | - |
dc.identifier.url | http://2022.icoin.org/sub06/sub0602.php | - |
dc.citation.conferencePlace | KO | - |
dc.citation.conferencePlace | 제주 | - |
dc.citation.endPage | 434 | - |
dc.citation.startPage | 429 | - |
dc.citation.title | 36th International Conference on Information Networking, ICOIN 2022 | - |
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