Diversity Performance Analysis on Multiple HAP Networks

Sensors

Feihong Dong²  Min Li¹  Xiangwu Gong²  Hongjun Li²  Fengyue Gao² 

[1] Institute of China Electronic System Engineering Corporation, 13 Dacheng Rd., Beijing 100141, China; E-Mail:;College of Communications Engineering, PLA University of Science and Technology, 88 Houbiaoying Rd., Nanjing 210007, China; E-Mails:

关键词: wireless sensor networks;    high altitude platform;    virtual multiple-input multiple-output;    system capacity;    shadowed Rician fading;    multiple assets in view;    average symbol error rate;    channel state information;   

DOI  :  10.3390/s150715398

来源: mdpi

【 摘 要 】

One of the main design challenges in wireless sensor networks (WSNs) is achieving a high-data-rate transmission for individual sensor devices. The high altitude platform (HAP) is an important communication relay platform for WSNs and next-generation wireless networks. Multiple-input multiple-output (MIMO) techniques provide the diversity and multiplexing gain, which can improve the network performance effectively. In this paper, a virtual MIMO (V-MIMO) model is proposed by networking multiple HAPs with the concept of multiple assets in view (MAV). In a shadowed Rician fading channel, the diversity performance is investigated. The probability density function (PDF) and cumulative distribution function (CDF) of the received signal-to-noise ratio (SNR) are derived. In addition, the average symbol error rate (ASER) with BPSK and QPSK is given for the V-MIMO model. The system capacity is studied for both perfect channel state information (CSI) and unknown CSI individually. The ergodic capacity with various SNR and Rician factors for different network configurations is also analyzed. The simulation results validate the effectiveness of the performance analysis. It is shown that the performance of the HAPs network in WSNs can be significantly improved by utilizing the MAV to achieve overlapping coverage, with the help of the V-MIMO techniques.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.