为了提高毫米波无线个域网(mm—waveWPAN)的空间复用增益,提出了一种干扰感知波束成型机制(IBF),进而提出了一种基于物理干扰模型的最大共存可能(MCP)算法.利用IBF所得干扰信息,并结合物理干扰模型确定的链路共存条件,MCP算法可准确有效地寻找共存链路集,达到增大空间复用增益的目的.仿真结果表明,该算法与基于协议干扰模型的最大扇区差算法(MSDN)和基于物理干扰模型的盲选算法相比,具有更高的复用增益,且其优势会随着扇区数、节点数的增加更为明显.
To improve the spatial sharing gain in millimeter-wave wireless personal network (WPAN) , an interference-aware beamformlng mechanism (IBF) was firstly proposed, and then a maximum coexis- tence possibility algorithm (MCP) based on physical interference model was presented. With help of in- terference information obtained using IBF and link coexistence conditions derived under physical interfer- ence model, MCP could increase the spatial sharing gain by efficiently and exactly identifying the coexis- tence link set. Simulations show that the MCP algorithm outperforms the maximum sector number differ- ence (MSND) algorithm based on protocol interference model and the blind algorithm based on physical interference model in terms of spatial sharing gain, and the comparative advantage increases along with the sector number and node number.