Traffic Offloading in Multicast Device-to-Device Cellular Networks: A Combinatorial Auction-Based Matching Algorithm
1
Department of Information Strategy, Electronics and Telecommunications Research Institute, 218 Gajeong-ro, Yuseong-gu, Daejeon 34129, Korea
2
Department of Computer Engineering, Chosun University, 309 Pilmun-daero, Dong-gu, Gwangju 61452, Korea
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(4), 1128; https://doi.org/10.3390/s20041128
Received: 17 January 2020
/
Revised: 8 February 2020
/
Accepted: 17 February 2020
/
Published: 19 February 2020
(This article belongs to the Special Issue Intelligent Wireless Technologies for Future Sensor Networks)
In the last few years, multicast device-to-device (D2D) cellular networks has become a highly attractive area of research. However, a particularly challenging class of issues in this area is data traffic, which increases due to increase in video and audio streaming applications. Therefore, there is need for smart spectrum management policies. In this paper, we consider a fractional frequency reuse (FFR) technique which divides the whole spectrum into multiple sections and allows reusing of spectrum resources between the conventional cellular users and multicast D2D users in a non-orthogonal scenario. Since conventional cellular users and multicast D2D users shared same resources simultaneously, they generate severe data traffic and high communication overhead. To overcome these issues, in this paper we propose Lagrange relaxation technique to solve the non-convex problem and combinatorial auction-based matching algorithm to select the most desirable resource reuse partners by fulfilling the quality of service (QoS) requirements for both the conventional cellular users and multicast D2D users. Then, we formulate an optimization problem to maximize the overall system performance with least computational complexity. We demonstrate that our method can exploit a higher data rate, spectrum efficiency, traffic offload rate, coverage probability, and lower computational complexity.
View Full-Text
Keywords:
multicast device-to-device communication; cellular networks; fractional frequency reuse; Lagrange relaxation technique; combinatorial auction-based matching algorithm
▼
Show Figures
Figure 1
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
Ningombam, D.D.; Shin, S. Traffic Offloading in Multicast Device-to-Device Cellular Networks: A Combinatorial Auction-Based Matching Algorithm. Sensors 2020, 20, 1128. https://doi.org/10.3390/s20041128
AMA Style
Ningombam DD, Shin S. Traffic Offloading in Multicast Device-to-Device Cellular Networks: A Combinatorial Auction-Based Matching Algorithm. Sensors. 2020; 20(4):1128. https://doi.org/10.3390/s20041128
Chicago/Turabian StyleNingombam, Devarani D., and Seokjoo Shin. 2020. "Traffic Offloading in Multicast Device-to-Device Cellular Networks: A Combinatorial Auction-Based Matching Algorithm" Sensors 20, no. 4: 1128. https://doi.org/10.3390/s20041128
Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.
