Auction Based Spectrum Efficient Offloading Mechanism in HetNets

Wang, Lu; Cheng, Pu; Zhang, Sihai; Zhou, Wuyang

doi:10.1109/vtcfall.2017.8288352

Cited by 2 publications

(2 citation statements)

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“…Data traffic offload is a challenge in D2D cellular networks since a large number of devices attempt to access a network simultaneously [19,20]. The works in [21][22][23][24][25][26] discussed various mobile data offloading techniques to improve system spectral efficiency. In [21], the authors proposed an efficient spectrum offloading technique in HetNets based on a reverse auction algorithm to maximize the benefit of a cellular service provider.…”

Section: Related Workmentioning

confidence: 99%

“…The works in [21][22][23][24][25][26] discussed various mobile data offloading techniques to improve system spectral efficiency. In [21], the authors proposed an efficient spectrum offloading technique in HetNets based on a reverse auction algorithm to maximize the benefit of a cellular service provider. A greedy offloading method was introduced to obtain tradeoff and spectrum efficiency with reduced computational complexity.…”

Section: Related Workmentioning

confidence: 99%

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Traffic Offloading in Multicast Device-to-Device Cellular Networks: A Combinatorial Auction-Based Matching Algorithm

Ningombam

Shin

2020

Sensors

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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.

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