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Load-sharing based on relay-aided cooperative modeling in uplink two-tier cellular networks

机译:上行两层蜂窝网络中基于中继辅助协作模型的负载分担

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In this paper, we study the relay-aided cooperative modeling that supports the load-sharing in uplink two-tier cellular networks. In our model, users in heavily loaded macrocell are shifted to lightly loaded smallcells with the assistance of relay users to mitigate Signal to Interference plus Noise Ratio (SINR) degradation problem in conventional direct handover. In order to promote relaying data of users which are selfish and rational, a trading exchange model based on Stackelberg game is proposed to optimize strategies of users. Relay users have pricing-based strategies on theirs power unit while shifted heavily loaded macrocell users have strategies to buy power levels of relay users. Optimal strategies are investigated using the backward induction analysis. Specifically, problems of NP-hard combinatorial optimization in relay user selections in the game are solved with a distributed algorithm based on matching theory. We intensively evaluate our proposed model by simulating it in Matlab which shows the efficiency of our proposal.
机译:在本文中,我们研究了支持上行链路两层蜂窝网络中负载分担的中继辅助协作模型。在我们的模型中,在中继用户的帮助下,将负载较重的宏小区中的用户转移到负载较轻的小型小区中,以减轻常规直接切换中的信号干扰加噪声比(SINR)退化问题。为了促进用户自私和理性的数据中继,提出了一种基于Stackelberg博弈的交易交换模型,以优化用户策略。中继用户在其功率单元上采用基于定价的策略,而转移负载较大的宏小区用户则具有购买中继用户功率级别的策略。使用后向归纳分析研究了最佳策略。具体地,利用基于匹配理论的分布式算法解决了游戏中接力用户选择中的NP难组合优化问题。我们通过在Matlab中对其进行仿真来深入评估我们提出的模型,这表明了我们提出的建议的效率。

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