Distributed Resource Allocation with Local CSI Overhearing and Scheduling Prediction for OFDMA Heterogeneous Networks
Distributed Resource Allocation with Local CSI Overhearing and Scheduling Prediction for OFDMA Heterogeneous Networks
复制标题
OFDMA 异构网络的本地 CSI 监听和调度预测的分布式资源分配
DOI：
10.1109/tvt.2016.2555840
复制
发表时间：
2017
影响因子：
6.8
通讯作者：
T. Kamenosono and H. Sakai
中科院分区：
文献类型：
--
作者：
M. Kaneko;T. Nakano;K. Hayashi;T. Kamenosono and H. Sakai
提出了一种基于正交频分多址（OFDMA）的宏小区/毫微微小区覆盖异构网络下行链路的资源分配方法。为了减轻由毫微微小区基站（FBS）对附近的宏小区用户（MU）造成的干扰，传统方法依赖于干扰信道状态的信息以及由控制信道提供的MU分配映射，从而导致显著的开销增加。相反，所提出的方法使得FBS能够基于其本地偷听到的信道状态信息来预测可能被其邻居MU使用的子信道，并且对这些子信道设置适当的约束。此外，通过让FBS完全重用被估计为不受附近MU影响的子信道，毫微微小区吞吐量增加，同时几乎不降低宏小区吞吐量。仿真结果验证了我们对MU分配估计错误概率和门限优化分析的有效性。此外，所提出的方法有效地减轻从FBS到附近的MU的干扰，提供了一个很好的宏小区/毫微微小区吞吐量权衡，同时大大减少信令开销，与传统的方法相比。
We propose a resource allocation method for the downlink of an orthogonal-frequency-division-multiple-access (OFDMA)-based macrocell/femtocell overlaid heterogeneous network. To mitigate the interference caused by femtocell base stations (FBSs) on nearby macrocell users (MUs), conventional methods rely on the information of the interference channel states, as well as MU allocation mapping provided by a control channel, causing a substantial overhead increase. Instead, the proposed methods enable the FBS to predict the subchannels that are likely to be used by its neighbor MUs, based on their locally overheard channel state information, and to set appropriate constraints on those subchannels. Moreover, by letting the FBS fully reuse the subchannels estimated to be free from nearby MUs, the femtocell throughput is increased while scarcely degrading the macrocell throughput. The simulation results demonstrate the validity of our analysis for MUs' allocation estimation error probability and threshold optimization. Moreover, the proposed methods efficiently mitigate the interference from FBSs to nearby MUs, providing an excellent macrocell/femtocell throughput tradeoff, while drastically decreasing signaling overhead, compared with conventional methods.