System-level performance evaluation of downlink non-orthogonal multiple access (NOMA)
By Yuya Saito, Anass Benjebbour, Yoshihisa Kishiyama, Takehiro Nakamura. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2013
788 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/8437b9eb07166ccf3b1c8c32e0783dae768a0b51
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In Aerospace Engineering
- Zhiguo Ding
- Rui Zhang
- H. Vincent Poor
- Robert Schober
- Yuanwei Liu
- Boya Di
- Lingyang Song
- Arumgam Nallanathan
In Electrical and Electronic Engineering
- Zhiguo Ding
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Citations in the corpus
- 5G Network Capacity: Key Elements and Technologies (2014, methodology): “The simulation results in [9] indicate that the application of NOMA in the downlink can achieve a 30% gain in the system spectrum efficiency.”
- System-level performance of downlink NOMA for future LTE enhancements (2013, background): “In [10, 11], initial system-level evaluation results of NOMA were discussed and investigated to demonstrate its potential gains in a low mobility scenario assuming no error propagation, exhaustive full search on candidate user pairs, and dynamic transmit power allocation.”
- Full-Duplex Device-to-Device-Aided Cooperative Nonorthogonal Multiple Access (2017, background): “, the BS transmits a superposed signal with different powers to two users and is [1]”
- Nonorthogonal Multiple Access in Large-Scale Underlay Cognitive Radio Networks (2016, background): “Nonorthogonal multiple access (NOMA) has received considerable attention because of its potential to achieve superior spectral efficiency [1].”
- On the Performance of Non-orthogonal Multiple Access Systems With Partial Channel Information (2016, background): “The key concept behind NOMA is that users’ signals are superimposed at the base station (BS) with different power allocation coefficients, and successive interference cancellation (SIC) is applied at the user with better channel condition, in order to remove the other users’ signals before detecting”
- Deep Learning for an Effective Nonorthogonal Multiple Access Scheme (2018, background): “Output: Reconstructed sparse signals: x̂[1], x̂[2], .”
- Non-Orthogonal Multiple Access in Coordinated Direct and Relay Transmission (2015, background): “In particular, NOMA is considered as a promising multiple access candidate of 5G networks [3], [4].”
- Performance Evaluation of Non-Orthogonal Multiple Access in Visible Light Communication (2016, background): “To further enhance system capacity and provide enhanced user experience, especially for users at the cell edge, non-orthogonal multiple access (NOMA) has recently been proposed as a promising solution for 5G wireless networks [11], [12].”
- Cooperative Non-orthogonal Multiple Access With Simultaneous Wireless Information and Power Transfer (2015, background): “INTRODUCTION N ON-ORTHOGONAL muliple access (NOMA) is an effective solution to improve spectral efficiency and has recently received significant attention for its promising application in fifth generation (5G) networks [1].”
- A General MIMO Framework for NOMA Downlink and Uplink Transmission Based on Signal Alignment (2015, methodology): “Initial system implementations of NOMA in cellular networks have demonstrated the superior spectral efficiency of NOMA [1], [2].”
- Power and Channel Allocation for Non-Orthogonal Multiple Access in 5G Systems: Tractability and Computation (2016, methodology): “, [9], [10], users with inferior channel condition may request more power to enhance fairness, e.”
- Nonorthogonal Multiple Access for 5G and Beyond (2017, background): “Upon considering a range of further practical conditions in terms of the key link-adaptation functionalities of the LTE, the system-level performance was evaluated in [89], [90].”
- Fairness for Non-Orthogonal Multiple Access in 5G Systems (2015, background): “A promising downlink MA scheme is the non-orthogonal multiple access (NOMA) which achieves high spectral efficiencies by combining superposition coding at the transmitter with successive interference cancellation (SIC) at the receivers [2], [3].”
- Cooperative Non-Orthogonal Multiple Access in 5G Systems (2014, background): “NON-ORTHOGONAL MULTIPLE ACCESS (NOMA) is fundamentally different from conventional orthogonal multiple access (MA) schemes, as in NOMA multiple users are encouraged to transmit at the same time, code and frequency, but with different power levels [1].”
- On the Performance of Non-Orthogonal Multiple Access in 5G Systems with Randomly Deployed Users (2014, background): “Particularly non-orthogonal multiple access (NOMA) has been recognized as a promising multiple access techniques for fifth generation (5G) networks due to its superior spectral efficiency [2].”
- Impact of User Pairing on 5G Nonorthogonal Multiple-Access Downlink Transmissions (2016, background): “Nonorthogonal MA (NOMA) has recently received considerable attention as a promising candidate for 5G MA [3]–[6].”
- Sub-Channel Assignment, Power Allocation, and User Scheduling for Non-Orthogonal Multiple Access Networks (2016, methodology): “In [10], the concept of basic NOMA with SIC was introduced and its performance was compared with the traditional OFDMA scheme through a system-level evaluation.”