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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Bibliographic Details
Published in:IEEE transactions on wireless communications Vol. 18; no. 10; pp. 4846 - 4858
Main Authors: Choi, Minseok, Kim, Joongheon, Moon, Jaekyun
Format: Journal Article
Language:English
Published: New York IEEE 01.10.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
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
ISSN:1536-1276, 1558-2248
Online Access:Get full text
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Summary: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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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2019.2929809