Price-Based Resource Allocation for Spectrum-Sharing Femtocell Networks: A Stackelberg Game Approach
Price-Based Resource Allocation for Spectrum-Sharing Femtocell Networks: A Stackelberg Game Approach
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DOI：
10.1109/glocom.2011.6133874
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发表时间：
2011-03
影响因子：
16.4
通讯作者：
Xin Kang;Rui Zhang;M. Motani
中科院分区：
文献类型：
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作者：
Xin Kang;Rui Zhang;M. Motani
本文研究了两层毫微微蜂窝网络基于价格的资源分配策略，在该网络中，一个中心宏蜂窝下方分布着毫微微蜂窝，它们都在同一频段上运行。假设宏蜂窝基站（MBS）通过对毫微微蜂窝用户的干扰定价来保护自身，构建了一个斯塔克尔伯格博弈来研究在宏蜂窝基站的最大可容忍干扰功率约束下宏蜂窝和毫微微蜂窝的联合效用最大化。研究了两种实用的毫微微蜂窝网络模型：农村地区的稀疏部署场景和城市地区的密集部署场景。针对每种场景，提出了两种定价方案：统一价格和非统一价格。对所提出博弈的斯塔克尔伯格均衡进行了特征描述，并针对统一价格情况提出了一种具有收敛保证的有效分布式干扰价格协商算法。给出了数值示例以验证所提出的研究。结果表明，所提出的方案在频谱共享毫微微蜂窝网络的上行链路和下行链路传输的资源分配和宏蜂窝保护方面是有效的。
This paper investigates price-based resource allocation strategies for two-tier femtocell networks, in which a central macrocell is underlaid with distributed femtocells, all operating over the same frequency band. Assuming that the macrocell base station (MBS) protects itself by pricing the interference from femtocell users, a Stackelberg game is formulated to study the joint utility maximization of the macrocell and femtocells subject to a maximum tolerable interference power constraint at the MBS. Two practical femtocell network models are investigated: sparsely deployed scenario for rural areas and densely deployed scenario for urban areas. For each scenario, two pricing schemes: uniform pricing and non-uniform pricing, are proposed. The Stackelberg equilibriums for the proposed games are characterized, and an effective distributed interference price bargaining algorithm with guaranteed convergence is proposed for the uniform-pricing case. Numerical examples are presented to verify the proposed studies. It is shown that the proposed schemes are effective in resource allocation and macrocell protection for both the uplink and downlink transmissions in spectrum-sharing femtocell networks.