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针对蜂窝与D2D的混合网络中资源分配技术不具有自适应的特性,造成资源的浪费问题。提出一种根据实际网络环境自适应地调整资源分配策略,并设计两阶段的资源分配算法对其进行求解。第一阶段根据用户间的干扰自适应调整使用每个资源块的用户个数和D2D用户可使用的资源块个数,第二阶段利用改进的粒子群算法以吞吐量最大为目标分配功率。仿真结果表明提出算法的性能是靠近最优的,并且系统吞吐量和D2D用户的接入率都明显大于对比算法。
The technology of resource allocation in the hybrid network of cellular and D2D does not have the characteristics of self-adaptation, resulting in the waste of resources. Proposed a resource allocation strategy based on the actual network environment adaptive adjustment, and design two-phase resource allocation algorithm to solve them. The first phase adaptively adjusts the number of users using each resource block and the number of resource blocks available to a D2D user according to inter-user interference. In the second phase, an improved Particle Swarm Optimization (PSO) is used to allocate power with the goal of maximizing throughput. Simulation results show that the performance of the proposed algorithm is close to optimal, and the system throughput and access rate of D2D users are significantly greater than the comparison algorithm.