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Relay Positioning for Load-Balancing and Throughput Enhancement in Dual-Hop Relay Networks.
1School of Information and Communication Engineering, Chungbuk National University, Chungju 28644, Korea.
Sensors (Basel, Switzerland)
|April 3, 2021
Summary
This study introduces an efficient method to find optimal relay station (RS) locations in cellular networks. The approach balances mobile station (MS) loads and enhances throughput, improving overall system performance.
Area of Science:
- Wireless communication networks
- Mobile computing and networking
Background:
- Deploying relay stations (RS) is a cost-effective strategy to improve cellular network coverage and throughput for mobile stations (MSs) in areas with poor signal quality.
- Dual-hop networks utilize RSs between base stations (BSs) and MSs, dividing transmissions into access zones (AZ) and relay zones (RZ), but face performance degradation due to MS overloading.
Purpose of the Study:
- To propose an efficient method for determining sub-optimal relay station (RS) deployment locations.
- To enhance mobile station (MS) throughput and achieve load balancing in cellular communication systems.
Main Methods:
- A novel method is proposed to identify RS deployment locations by adjusting their distance and angle.
- The scheme involves two stages: initial load balancing followed by throughput enhancement.
- This approach offers lower computational complexity compared to global optimization or learning-based methods.
Main Results:
- The proposed method efficiently finds sub-optimal RS locations, achieving a reliable tradeoff between load balancing and throughput enhancement.
- The two-stage process ensures appropriate balancing of network load and improved data transmission rates.
- Simulation results validate the effectiveness of the proposed scheme in advancing cellular network performance.
Conclusions:
- The developed method provides an efficient and computationally less complex solution for RS deployment in cellular networks.
- The strategy effectively balances network load and enhances throughput, leading to improved overall system performance.
- This approach offers a practical solution for optimizing cellular network design and resource allocation.
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