Energy-Efficient Resource Allocation for Downlink Non-Orthogonal Multiple Access Network
By Fang Fang, Haijun Zhang, Julian Cheng, Victor C. M. Leung. IEEE Transactions on Communications, 2016
434 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/cb1793a9c58f1d88233ad7ea227c253d33e4b800
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In Electrical and Electronic Engineering
- Yuanwei Liu
- Robert Schober
- Naofal Al-Dhahir
- Xidong Mu
- Rui Zhang
- Zhiguo Ding
- Zhijin Qin
- Ekram Hossain
Citations in the corpus
- On Optimal Power Allocation for Downlink Non-Orthogonal Multiple Access Systems (2017, methodology): “In the literature, only [21], [27] investigated this problem, whereas [27] only found the optimal solution in the special case M = 1, i.”
- A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, neutral): “In this work, an efficient algorithm for user’s task partitioning, local computing CPU frequency and transmit power allocation was proposed to achieve the minimum energy consumption for multi-user NOMA-MEC networks.”
- A Survey of Rate-Optimal Power Domain NOMA With Enabling Technologies of Future Wireless Networks (2019, background): “for example, [62]–[65], the maximization of secrecy rate, for example, [66]–[69], the maximization of energy efficiency (EE), for example, [70]–[73], minimizing transmission”
- Modulation and Multiple Access for 5G Networks (2017, methodology): “NOMA with the consideration of EE has also been investigated in [69], where a sub-optimal resource allocation algorithm has been proposed to maximize the EE of the systems.”
- Exploiting Intelligent Reflecting Surfaces in NOMA Networks: Joint Beamforming Optimization (2019, methodology): “[18] studied multi-subcarrier downlink NOMA to maximize the EE by jointly optimizing subchannel assignment and power allocation, where a low complexity algorithm was designed based on matching theory and DC programming method.”
- Evolution of NOMA Toward Next Generation Multiple Access (NGMA) for 6G (2021, background): “Along this line, the authors of [154] proposed a greedy”
- A Survey on Non-Orthogonal Multiple Access for 5G Networks: Research Challenges and Future Trends (2017, methodology): “In [97], the energy efficiency of NOMA is investigated, where power allocation and subchannel assignments are jointly designed by applying the difference of convex (DC) programming method.”