Spectrum allocation scheme based on Stackelberg game in two-tier HetNet

Dai, Jing; Lv, Wei; Ye, Fang

doi:10.1109/icsp.2016.7878030

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…The Stackelberg game model has been widely used to solve problems in wireless networks [ 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ]. Specifically, the interference mitigation problem was studied in [ 11 , 12 ], the spectrum sharing problem was studied in [ 13 , 14 , 15 ], the power control problem was studied in [ 16 , 17 , 18 , 19 ], the resource allocation problem was studied in [ 20 ] and the anti-jamming problem was studied in [ 21 , 22 , 23 ]. Different from other game models, e.g., mean-field game [ 36 ], potential game [ 37 ] and cooperative game [ 38 , 39 ], players in a Stackelberg game have different superiority and are classified into leaders and followers, respectively.…”

Section: Related Workmentioning

confidence: 99%

“…The Stackelberg game has been widely used to solve problems in wireless networks where entities have different superiority [ 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ]. In this article, we formulate the traffic offloading problem as a Stackelberg game, where the MBS is the leader and SCs are followers.…”

Section: Introductionmentioning

confidence: 99%

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Location-Aware Incentive Mechanism for Traffic Offloading in Heterogeneous Networks: A Stackelberg Game Approach

Yao

Luo

Yang

et al. 2018

Entropy

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This article investigates the traffic offloading problem in the heterogeneous network. The location of small cells is considered as an important factor in two aspects: the amount of resources they share for offloaded macrocell users and the performance enhancement they bring after offloading. A location-aware incentive mechanism is therefore designed to incentivize small cells to serve macrocell users. Instead of taking the amount of resources shared as the basis of the reward division, the performance promotion brought to the macro network is taken. Meanwhile, in order to ensure the superiority of small cell users, the significance of them weighs heavier than macrocell users instead of being treated equally. The offloading problem is formulated as a Stackelberg game where the macro cell base station is the leader and small cells are followers. The Stackelberg equilibrium of the game is proved to be existing and unique. It is also proved to be the optimum of the proposed problem. Simulation and numerical results verify the effectiveness of the proposed method.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Location-Aware Incentive Mechanism for Traffic Offloading in Heterogeneous Networks: A Stackelberg Game Approach

Yao

Luo

Yang

et al. 2018

Entropy

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“…e occurrence of cross-tier interference with each other is inevitable. In order to lower the impact on the performance of the coexisting system, some interference coordination schemes, such as spectrum allocation, power control, and interference cancellation, have been studied in prior works [5][6][7]. Since there are several transmitting nodes in the ad hoc networks that send data on the same channels simultaneously, a receiving node experiences the inter-node interference signal from other transmitting nodes additionally.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of MU-MIMO Transmissions with Joint Interference Constraint in HetNet

Zhang

Jiang

2021

Mathematical Problems in Engineering

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In this paper, we investigate the per-tier outage probability of multiuser multiple-input multiple-output (MU-MIMO) transmissions in heterogeneous networks (HetNets) with joint interference constraint. In the tier of cellular cell, user equipment (UE) is required to report measured channel information and the base station (BS) adopts ZF-based precoding MU-MIMO transmission to achieve multiuser diversity gain. With the constraint of cross-tier interference and unpredicted inter-beam interference, we derive the closed-form expression of outage probability of downlink MU-MIMO transmissions. Considering the capacity of nodes in the tier of ad hoc networks, a max-SINR scheduler and codebook-based MU-MIMO transmission are employed. The scheduler selects the best receiving nodes for each beam in predefined codebook according to measured signal to interference plus noise ratio (SINR), and the transmitting node performs data transmissions using orthogonal beams. In the presence of inter-node interference, inter-beam interference, and cross-tier interference, we obtain the closed-form expression of outage probability of MU-MIMO transmissions when downlink or uplink transmissions occur in cellular cell. Additionally, in case that the outage probability in ad hoc networks should satisfy quality of service (QoS) requirement, a restricted area in cellular cell in which the outage probability in ad hoc networks is not greater than a required threshold is explored. Numerical results show that the unpredictable inter-beam interference in cellular cell degrades the outage probability slightly. The restricted area increases with the outage probability threshold.

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