Li Hongjun, Yin Hao, Gong Xiangwu, Dong Feihong, Ren Baoquan, He Yuanzhi, Wang Jingchao
College of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China.
Institute of China Electronic System Engineering Corporation, 13 Dacheng Rd., Beijing 100141, China.
Sensors (Basel). 2016 Oct 14;16(10):1711. doi: 10.3390/s16101711.
This paper investigates the performance of integrated wireless sensor and multibeam satellite networks (IWSMSNs) under terrestrial interference. The IWSMSNs constitute sensor nodes (SNs), satellite sinks (SSs), multibeam satellite and remote monitoring hosts (RMHs). The multibeam satellite covers multiple beams and multiple SSs in each beam. The SSs can be directly used as SNs to transmit sensing data to RMHs via the satellite, and they can also be used to collect the sensing data from other SNs to transmit to the RMHs. We propose the hybrid one-dimensional (1D) and 2D beam models including the equivalent intra-beam interference factor from terrestrial communication networks (TCNs) and the equivalent inter-beam interference factor from adjacent beams. The terrestrial interference is possibly due to the signals from the TCNs or the signals of sinks being transmitted to other satellite networks. The closed-form approximations of capacity per beam are derived for the return link of IWSMSNs under terrestrial interference by using the Haar approximations where the IWSMSNs experience the Rician fading channel. The optimal joint decoding capacity can be considered as the upper bound where all of the SSs' signals can be jointly decoded by a super-receiver on board the multibeam satellite or a gateway station that knows all of the code books. While the linear minimum mean square error (MMSE) capacity is where all of the signals of SSs are decoded singularly by a multibeam satellite or a gateway station. The simulations show that the optimal capacities are obviously higher than the MMSE capacities under the same conditions, while the capacities are lowered by Rician fading and converge as the Rician factor increases. and jointly affect the performance of hybrid 1D and 2D beam models, and the number of SSs also contributes different effects on the optimal capacity and MMSE capacity of the IWSMSNs.
本文研究了集成无线传感器与多波束卫星网络(IWSMSNs)在地面干扰下的性能。IWSMSNs由传感器节点(SNs)、卫星汇聚节点(SSs)、多波束卫星和远程监测主机(RMHs)组成。多波束卫星覆盖多个波束,每个波束中有多个SSs。SSs既可以直接作为SNs通过卫星将传感数据传输到RMHs,也可以用于收集其他SNs的传感数据并传输到RMHs。我们提出了混合一维(1D)和二维(2D)波束模型,其中包括来自地面通信网络(TCNs)的等效波束内干扰因子和来自相邻波束的等效波束间干扰因子。地面干扰可能源于TCNs的信号或汇聚节点的信号被传输到其他卫星网络。通过使用哈尔近似法,推导了IWSMSNs在地面干扰下回程链路每波束容量的闭式近似,其中IWSMSNs经历莱斯衰落信道。最优联合解码容量可被视为上限,即多波束卫星上的超级接收器或知道所有码本的网关站可以联合解码所有SSs的信号。而线性最小均方误差(MMSE)容量是指多波束卫星或网关站单独解码所有SSs的信号。仿真结果表明,在相同条件下,最优容量明显高于MMSE容量,而容量会因莱斯衰落而降低,并随着莱斯因子的增加而收敛。 和 共同影响混合1D和22D波束模型的性能,并且SSs的数量对IWSMSNs的最优容量和MMSE容量也有不同的影响。