Cache-Aided Non-Orthogonal Multiple Access: The Two-User Case

Abstract

In this paper, we propose a cache-aided non-orthogonal multiple access (NOMA) scheme for spectrally efficient downlink transmission. The proposed scheme not only reaps the benefits associated with NOMA and caching, but also exploits the data cached at the users for interference cancellation. As a consequence, caching can help to reduce the residual interference power, making multiple decoding orders at the users feasible. The resulting flexibility in decoding can be exploited for improved NOMA detection. We characterize the achievable rate region of cache-aided NOMA and derive the Pareto optimal rate tuples forming the boundary of the rate region. Moreover, we optimize cache-aided NOMA for minimization of the time required for completing file delivery. The optimal decoding order and the optimal transmit power and rate allocation are derived as functions of the cache status, the file sizes, and the channel conditions. Simulation results confirm that, compared to several baseline schemes, the proposed cache-aided NOMA scheme significantly expands the achievable rate region and increases the sum rate for downlink transmission, which translates into substantially reduced file delivery times.

Accepted for publication in IEEE J. Sel. Topics Signal Process. arXiv admin note: text overlap with arXiv:1712.09557

References in corpus (6)

• A Minorization-Maximization Method for Optimizing Sum Rate in Non-Orthogonal Multiple Access Systems
• Cooperative Interference Management with MISO Beamforming
• Energy Efficiency of Downlink Networks with Caching at Base Stations
• Speeding up Future Video Distribution via Channel-Aware Caching-Aided Coded Multicast
• Optimal Joint Power and Subcarrier Allocation for Full-Duplex Multicarrier Non-Orthogonal Multiple Access Systems
• Optimal Coding Schemes for the Three-Receiver AWGN Broadcast Channel with Receiver Message Side Information

Cited by in corpus (6)

• A Survey of Rate-optimal Power Domain NOMA with Enabling Technologies of Future Wireless Networks
• A Survey on Applications of Cache-Aided NOMA
• Cache-Aided NOMA Mobile Edge Computing: A Reinforcement Learning Approach
• Interplay Between NOMA and Other Emerging Technologies: A Survey
• Energy Efficient User Clustering, Hybrid Precoding and Power Optimization in Terahertz MIMO-NOMA Systems
• A Survey on Reinforcement Learning-Aided Caching in Mobile Edge Networks