Title
Joint User Pairing, Mode Selection, And Power Control For D2d-Capable Cellular Networks Enhanced By Nonorthogonal Multiple Access
Abstract
Nonorthogonal multiple access (NOMA) and deviceto-device (D2D) are two promising technologies that have great potential in improving user connectivity. In this paper, we incorporate NOMA into the D2D-capable cellular networks and propose a new NOMA-aided D2D access scheme. In the proposed scheme, the D2D users (DUEs) can operate in four spectrumsharing modes, which are the extension of the traditional underlay mode. To fully exploit the advantages of the NOMA-and-D2D integrated framework, we formulate a connectivity-maximization problem by jointly considering user pairing, mode selection, and power control under the constraints of the decoding thresholds of cellular users and DUEs. Based on the graph theory, we devise an efficient algorithm with polynomial complexity to solve the formulated problem optimally. We first analytically obtain the optimal transmission power and spectrum-sharing mode for every possible user pair through a graphical method. Based on the power control and mode selection policies, we transform the user pairing problem into a min-cost max-flow problem which can be tackled by the Ford-Fulkerson algorithm. Finally, simulation results indicate that the NOMA-aided D2D access scheme outperforms the traditional underlay mode, and the proposed algorithm yields a large performance gain in comparison with other schemes in terms of user connectivity and power consumption.
Year
DOI
Venue
2019
10.1109/JIOT.2019.2924513
IEEE INTERNET OF THINGS JOURNAL
Keywords
Field
DocType
Device-to-device, graph theory, nonorthogonal multiple access, resource management
Graph theory,Computer science,Power control,Pairing,Exploit,Underlay,Interference (wave propagation),Cellular network,Decoding methods,Distributed computing
Journal
Volume
Issue
ISSN
6
5
2327-4662
Citations 
PageRank 
References 
1
0.35
0
Authors
6
Name
Order
Citations
PageRank
Daosen Zhai1323.81
Ruonan Zhang2366.99
Yutong Wang310.35
Huakui Sun411.02
lin x cai52956220.61
Zhiguo Ding67031399.47