Joint Power and Subchannel Allocation for Distributed Storage in Cellular-D2D Underlays

Area of Science:

• Wireless communication systems
• Data storage technologies
• Network resource management

Background:

• Cellular networks face increasing traffic demands, necessitating efficient data storage and offloading solutions.
• Device-to-device (D2D) communication offers a promising approach for enhancing cellular network capacity and spectral efficiency.
• Minimum Storage Regenerating (MSR) coding and partial downloading are advanced techniques for reliable distributed storage.

Purpose of the Study:

• To minimize total transmission power in a D2D underlay wireless distributed storage system.
• To ensure signal-to-interference-plus-noise ratio (SINR) constraints for cellular users.
• To leverage Non-Orthogonal Multiple Access (NOMA) for improved spectral efficiency and resource utilization.

Main Methods:

• Employing MSR coding combined with partial downloading for data storage.
• Utilizing the NOMA protocol to allow simultaneous subchannel access by multiple storage devices.
• Decoupling the non-convex optimization problem into two subproblems.
• Developing low-complexity algorithms and an iterative joint optimization approach for power and subchannel allocation.

Main Results:

• The proposed algorithms achieve near-exhaustive search performance with reduced computational complexity.
• The NOMA-enhanced scheme increases transmission opportunities for nearby storage devices.
• Significant reduction in total power consumption for content reconstruction was demonstrated.

Conclusions:

• The NOMA-enhanced wireless distributed storage system effectively minimizes transmission power while meeting SINR requirements.
• The developed low-complexity algorithms provide an efficient solution for joint power and subchannel allocation.
• This approach offers a viable strategy for managing cellular traffic and enhancing spectral efficiency in dense networks.