Fairness Guaranteed Cooperative Resource Allocation in Femtocell Networks
Fairness Guaranteed Cooperative Resource Allocation in Femtocell Networks
复制标题
DOI：
10.1007/s11277-013-1049-4
复制
发表时间：
2013-09-01
影响因子：
2.2
通讯作者：
Horneman, Kari
中科院分区：
文献类型：
--
作者：
Wang, Shuangdie;Wang, Jiang;Horneman, Kari
用户部署的低功率毫微微蜂窝接入点（FAP）可以提供比传统蜂窝网络更好的室内覆盖和更高的数据速率。然而，在这种不协调的频率复用场景中的主要问题是小区间干扰。在本文中，我们提出了一个基于图的分布式算法称为公平保证的合作资源分配（FGCRA）管理毫微微小区之间的干扰。由于最优资源分配是一个NP难问题，在毫微微蜂窝网络中很难获得全局优化，因此我们提出的FGCRA算法通过干扰邻居之间的合作来提供次优资源分配。首先，我们提出了一个特定的公平性因子，从两跳干扰关系，以确定每个FAP可以使用的子信道的下限数量，并保证毫微微小区之间的公平性。其次，我们提出了分布式资源分配的可扩展规则和解决方案，以避免干扰邻居之间的冲突。仿真结果表明，我们提出的FGCRA显着提高了平均用户吞吐量和小区边缘用户吞吐量，并提供更好的公平性。
User-deployed low-power femtocell access points (FAPs) can provide better indoor coverage and higher data rates than conventional cellular networks. However, a major problem in this uncoordinated frequency reuse scenario is the inter-cell interference. In this paper, we propose a graph based distributed algorithm called fairness guaranteed cooperative resource allocation (FGCRA) to manage interference among femtocells. Since the optimal resource allocation is a NP-hard problem, which is difficult to get global optimization in femtocell networks, our proposed FGCRA algorithm provides sub-optimal resource allocation via cooperation among interfering neighbors. First, we propose a specific fairness factor obtained from two-hop interference relations, to determine the lower bound amount of subchannels that each FAP can use and guarantee the fairness among femtocells. Second, we propose scalable rules for distributed resource allocation and the solution to avoid the conflicts among interfering neighbors. Simulation results show that our proposed FGCRA significantly enhances both average user throughput and cell edge user throughput, and provides better fairness.