A Capacitated House Allocation Game for the Energy Efficient Relays Selection in 5G Multicast Context

Area of Science:

• Wireless Communication
• Network Engineering

Background:

• Fifth-generation (5G) wireless networks face propagation challenges at higher frequencies, necessitating device-to-device (D2D) communication for improved reliability and efficiency.
• D2D communication is crucial for resource-constrained devices in sensor networks and the Internet-of-Things (IoT), where energy and spectrum efficiency are paramount.
• Effective relay selection is critical for optimizing D2D communication performance, balancing transmission delay and energy usage.

Purpose of the Study:

• To propose an efficient relay selection scheme for D2D communication in 5G networks.
• To minimize both delivery transmission delay and overall energy consumption by optimizing the number of relays used.
• To enhance content dissemination in multicast scenarios for devices with limited capabilities.

Main Methods:

• Formulated the relay selection problem as a one-sided preferences matching game for multicast content delivery.
• Developed a strategy incorporating a 'reputation coefficient' for each device and link propagation conditions.
• Utilized computer simulations to evaluate the proposed scheme's effectiveness.

Main Results:

• The proposed relay selection scheme significantly improves network performance.
• Demonstrated reductions in power consumption and end-to-end delay compared to existing methods.
• Showcased superior performance against greedy, random, and previously proposed game theory-based strategies.

Conclusions:

• The developed relay selection scheme effectively balances transmission delay and energy consumption in 5G D2D networks.
• Considering device reputation and link quality leads to more suitable relay selection for content dissemination.
• The proposed approach offers a significant advancement over existing methods for optimizing D2D communication performance.