Performance Analysis of Millimeter-Wave Multi-hop Machine-to-Machine Networks Based on Hop Distance Statistics
1Department of Information and Telecommunication Engineering, Incheon National University, Incheon 22012, Korea. haejoonjung@inu.ac.kr.
Sensors (Basel, Switzerland)
|January 13, 2018
Summary
This study analyzes hop distance in millimeter-wave (mmWave) multi-hop wireless networks for machine-to-machine (M2M) communications. It quantifies blockage impacts and proposes a performance estimation method for mmWave M2M networks.
Area of Science:
- Wireless Communications
- Network Engineering
- Signal Processing
Background:
- Machine-to-machine (M2M) communication is integral to the Internet of Things (IoT), requiring ubiquitous connectivity.
- Millimeter-wave (mmWave) technology offers a solution to spectrum scarcity in future communication systems.
- Multi-hop wireless networks (MWNs) using mmWave for M2M communication face challenges like signal blockage.
Purpose of the Study:
- To investigate hop distance statistics in mmWave MWNs for M2M communications.
- To analyze the impact of signal blockages on hop distance and system performance.
- To develop a method for estimating end-to-end network performance without extensive simulations.
Main Methods:
- Focus on hop distance statistics in mmWave MWNs with directional antenna arrays.
- Derivation of hop distance probability distributions for two routing strategies.
- Analysis of blockage-free scenarios to quantify blockage effects.
- Development of an end-to-end performance estimation method.
Main Results:
- Hop distance statistics are derived for different routing strategies in mmWave MWNs.
- The impact of blockages on hop distance and system performance is quantified.
- A method is proposed to estimate outage probability, hop count, and transmit energy.
Conclusions:
- Hop distance analysis is crucial for understanding mmWave MWN performance in M2M communication.
- Blockages significantly affect per-hop progress and overall network performance.
- The proposed estimation method offers efficient insights for mmWave MWN design.
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