M2M在中继网络中的上行链路资源分配算法

Uplink Resource Allocation Algorithm for M2M in Relay Networks

针对M2M(machine to machine)在中继网络中的上行链路资源分配问题,提出一种基于合作博弈论的分配优化算法.建立了宏基站(MBS)和家庭基站(FBS)中继网络模型;引入合作博弈论,并将该上行链路资源分配优化问题转化为最大最小化效用函数问题,再运用Shapley函数给出求解算法;采用Matlab对所提算法进行仿真.仿真结果表明,所提算法在大幅度减少系统总发射功率的情况下,可有效提高终端设备(MS)的吞吐量.

In order to solve uplink resource allocation problem for M2M （machine to machine） in relay networks, an optimal resource allocation algorithm based on cooperative game theory is proposed. A macro base station （MBS） and a femtocell base station （FBS） relay network model was formulated. By applying cooperative game theory, the uplink resource allocation optimization problem was transformed into the max-min of utility function. Then the Shapley function was used to solve the algorithm and matlab was used to simulate the proposed algorithm. The results show that the proposed algorithm can greatly reduce the total transmission power of the system and effectively improve the throughput of the terminal equipment.