Dynamic Power Allocation and User Scheduling for Power-Efficient and Delay-Constrained Multiple Access Networks
In this paper, we propose a joint dynamic power control and user pairing algorithm for power-efficient and delay-constrained hybrid multiple access systems. In a hybrid multiple access system, user pairing determines whether the transmitter serves as a certain user by orthogonal multiple access (OMA...
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| Veröffentlicht in: | IEEE transactions on wireless communications Jg. 18; H. 10; S. 4846 - 4858 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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New York
IEEE
01.10.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 1536-1276, 1558-2248 |
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| Abstract | In this paper, we propose a joint dynamic power control and user pairing algorithm for power-efficient and delay-constrained hybrid multiple access systems. In a hybrid multiple access system, user pairing determines whether the transmitter serves as a certain user by orthogonal multiple access (OMA) or non-orthogonal multiple access (NOMA). The proposed optimization framework minimizes the long-term time-average transmit power expenditure while reducing the queuing delay and guaranteeing the minimum time-average data rates. The proposed technique observes both channel and queue state information and adjusts queue backlogs to avoid an excessive queueing delay by appropriate user pairing and power allocation. Furthermore, the flexible use of resources is captured in the proposed algorithm by employing NOMA. The data-intensive simulation results show that the proposed scheme for power allocation and user scheduling achieves a balance among multiple performance goals, i.e., power efficiency, queueing delay, and data rate. |
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| AbstractList | In this paper, we propose a joint dynamic power control and user pairing algorithm for power-efficient and delay-constrained hybrid multiple access systems. In a hybrid multiple access system, user pairing determines whether the transmitter serves as a certain user by orthogonal multiple access (OMA) or non-orthogonal multiple access (NOMA). The proposed optimization framework minimizes the long-term time-average transmit power expenditure while reducing the queuing delay and guaranteeing the minimum time-average data rates. The proposed technique observes both channel and queue state information and adjusts queue backlogs to avoid an excessive queueing delay by appropriate user pairing and power allocation. Furthermore, the flexible use of resources is captured in the proposed algorithm by employing NOMA. The data-intensive simulation results show that the proposed scheme for power allocation and user scheduling achieves a balance among multiple performance goals, i.e., power efficiency, queueing delay, and data rate. |
| Author | Choi, Minseok Moon, Jaekyun Kim, Joongheon |
| Author_xml | – sequence: 1 givenname: Minseok orcidid: 0000-0001-7027-1920 surname: Choi fullname: Choi, Minseok email: choimins@usc.edu organization: Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA – sequence: 2 givenname: Joongheon orcidid: 0000-0003-2126-768X surname: Kim fullname: Kim, Joongheon email: joongheon@korea.ac.kr organization: School of Electrical Engineering, Korea University, Seoul, South Korea – sequence: 3 givenname: Jaekyun orcidid: 0000-0003-0993-5788 surname: Moon fullname: Moon, Jaekyun email: jmoon@kaist.edu organization: Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea |
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| SubjectTerms | Algorithms Computer simulation Delay Delay-constrained networks Delays Dynamic scheduling Hybrid systems Internet of Things (IoT) NOMA non-orthogonal multiple access (NOMA) Nonorthogonal multiple access Optimization power allocation Power control Power efficiency Power management power-efficient networks Queueing analysis Queues Resource management Scheduling Throughput Transmitters user scheduling |
| Title | Dynamic Power Allocation and User Scheduling for Power-Efficient and Delay-Constrained Multiple Access Networks |
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