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作 者:卫萌菡[1,2] 李李[1,2] 秦爽[1,2] 周朝荣[1,2]
机构地区:[1]四川师范大学物理与电子工程学院,成都610101 [2]四川师范大学无线传感器网络四川省高校重点实验室,成都610101
出 处:《计算机应用研究》2016年第4期1232-1235,共4页Application Research of Computers
基 金:四川省教育厅基金资助项目(14ZB0038)
摘 要:在混合接入式femtocell网络中,为了激励家庭小区基站接纳位于死区的宏用户,提出了基于Stackelberg博弈和弹性理论的资源分配方法。首先建立Stackelberg博弈模型,宏基站(macro base station,MBS)作为主导者(leader),家庭小区基站(femto base station,FBS)作为跟随者(follower),MBS支付给FBS效用,而FBS通过获利来补偿因为接纳宏用户(macro user equipment,MUE)而损失的速率;然后引入弹性理论确立MBS和FBS的效用函数,构建凸优化问题,并求解出价格和速率的均衡解,参与人都能实现效用最大化;最后通过数值分析,验证了均衡解的存在,比较分析了在发射功率不同的情况下FBS和MBS的效用。结果表明,迭代20次左右即可找到均衡解,弹性因子参数为0.7时,FBS和MBS的收益最佳。通过理论研究和数值分析验证了策略有效性。In order to motivate the femtocell base station to admit the macro user's access request which is in the dead zone,this paper proposed a Stackelberg game and elasticity based allocate resource strategy. Firstly,it established a Stackelberg game model,in which the macro base station was leader and the femtocell base station was follower. The MBS provided revenue to the FBS to offset its rate loss caused by resources allocated to accessed MUE. Then,it defined the utility functions of both tiers and formulated optimization problems. And then,it proved the optimal pricing and rate strategies which could achieve Stackelberg equilibrium( SE). Furthermore,it could prove that utility functions of both tiers could be maximized. Finally,it analyzed the utility of FBS and MBS with the different transmit power of FBS. The numerical results show the existence of equilibrium point.Besides,the results show that it obtains SE through 20 times of iterations. When the elastic parameter is 0. 7,both the FBS and the MBS obtain best utilities simultaneously. Theoretical analysis and numerical study show the effectiveness of the proposed scheme.
关 键 词:femtocell网络 STACKELBERG博弈 弹性理论 混合接入控制 定价
分 类 号:TN929.53[电子电信—通信与信息系统]
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