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Diversity Performance Analysis on Multiple HAP Networks.

Dong F, Li M, Gong X, Li H, Gao F - Sensors (Basel) (2015)

Bottom Line: Multiple-input multiple-output (MIMO) techniques provide the diversity and multiplexing gain, which can improve the network performance effectively.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.

View Article: PubMed Central - PubMed

Affiliation: College of Communications Engineering, PLA University of Science and Technology, 88 Houbiaoying Rd., Nanjing 210007, China. dfh_sinlab@hotmail.com.

ABSTRACT
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.

No MeSH data available.


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f1-sensors-15-15398: System model.

Mentions: Assuming that each HAP has a single antenna, a user link is established between the HAP and the sensor device. The HAPs have inter platforms links (IPLs) with each other. There are backhaul links from the HAPs to the ground stations or the satellite backbone network. With the help of synchronous processing at the ground station, each HAP can obtain perfect timing and carrier synchronization. The multiple HAPs can then transmit signals to the receiver at the same frequency in the same time slot. As a result, the multiple HAPs comprise a virtual antenna array (VAA). The NH HAPs are equivalent to a distributed antenna system with NH antennas. Each HAP antenna can be considered to be a small antenna on the virtual platform, which consists of multiple platforms. The V-MISO and V-MIMO system models are then established by considering single antenna users and multiple antenna users respectively, as shown in Figure 1. In a true/co-located MIMO HAP network architecture, the multiple antennas are connected to a single transmitter/receiver node, e.g., [17,23]. Due to the close distance between the antennas, it is difficult to solve the large scale shadow fading problem caused by blocking from large obstacles. However, in the V-MIMO HAP network, each antenna is far apart from each other, so an independent large-scale fading channel is available, and a better diversity gain is obtained to prevent shadow fading.


Diversity Performance Analysis on Multiple HAP Networks.

Dong F, Li M, Gong X, Li H, Gao F - Sensors (Basel) (2015)

System model.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4541836&req=5

f1-sensors-15-15398: System model.
Mentions: Assuming that each HAP has a single antenna, a user link is established between the HAP and the sensor device. The HAPs have inter platforms links (IPLs) with each other. There are backhaul links from the HAPs to the ground stations or the satellite backbone network. With the help of synchronous processing at the ground station, each HAP can obtain perfect timing and carrier synchronization. The multiple HAPs can then transmit signals to the receiver at the same frequency in the same time slot. As a result, the multiple HAPs comprise a virtual antenna array (VAA). The NH HAPs are equivalent to a distributed antenna system with NH antennas. Each HAP antenna can be considered to be a small antenna on the virtual platform, which consists of multiple platforms. The V-MISO and V-MIMO system models are then established by considering single antenna users and multiple antenna users respectively, as shown in Figure 1. In a true/co-located MIMO HAP network architecture, the multiple antennas are connected to a single transmitter/receiver node, e.g., [17,23]. Due to the close distance between the antennas, it is difficult to solve the large scale shadow fading problem caused by blocking from large obstacles. However, in the V-MIMO HAP network, each antenna is far apart from each other, so an independent large-scale fading channel is available, and a better diversity gain is obtained to prevent shadow fading.

Bottom Line: Multiple-input multiple-output (MIMO) techniques provide the diversity and multiplexing gain, which can improve the network performance effectively.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.

View Article: PubMed Central - PubMed

Affiliation: College of Communications Engineering, PLA University of Science and Technology, 88 Houbiaoying Rd., Nanjing 210007, China. dfh_sinlab@hotmail.com.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus