The Application of MIMO to Non-Orthogonal Multiple Access

By Zhiguo Ding, Fumiyuki Adachi, H. Vincent Poor. IEEE Transactions on Wireless Communications, 2015

780 citations recorded by the source corpus.

This paper considers the application of multiple-input multiple-output (MIMO) techniques to nonorthogonal multiple access (NOMA) systems. A new design of precoding and detection matrices for MIMO-NOMA is proposed and its performance is analyzed for the case with a fixed set of power allocation coefficients. To further improve the performance gap between MIMO-NOMA and conventional orthogonal multiple access schemes, user pairing is applied to NOMA and its impact on the system performance is characterized. More sophisticated choices of power allocation coefficients are also proposed to meet various quality-of-service requirements. Finally, computer simulation results are provided to facilitate the performance evaluation of MIMO-NOMA and also demonstrate the accuracy of the developed analytical results.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/b340a4bfb51fbb1cab7e5c5784f373431db89d21

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Citations in the corpus

A General MIMO Framework for NOMA Downlink and Uplink Transmission Based on Signal Alignment (2015, methodology): “olve the optimization problem. In many practical scenarios, it is preferable to serve as many users as possible in order to reduce user latency and improve user fairness. Following this rationale, in [13], users were ﬁrst grouped into small-size clusters, where NOMA was implemented for the users wit”
Capacity Comparison Between MIMO-NOMA and MIMO-OMA With Multiple Users in a Cluster (2017, methodology): “dditionally, P ∈ CM×M denotes the precoding matrix used by the BS, while v m,l ∈ CN×1 denotes the detection vector for user (m,l). The precoding matrices and detection vectors are designed as follows [12]: a) P = IM, where IM denotes the M × M identity matrix; b) |vm,l|2 = 1 and vH m,lHm,lpk = 0 for”
On Optimal Power Allocation for Downlink Non-Orthogonal Multiple Access Systems (2017, background): “In [13] and [14], the authors discussed an combination of NOMA with MIMO technologies.”
A Survey on Non-Orthogonal Multiple Access for 5G Networks: Research Challenges and Future Trends (2017, methodology): “ HiPx+ni, (7) where Hi denotes the N ×M channel matrix, P is a precoding matrix, x = h x1 ··· , xM iT , and each xi is a NOMA mixture containing the two symbols for the two users in the same pair. In [49], the case where the BS does not know the users’ channel matrices is considered, which means tha”
A Minorization-Maximization Method for Optimizing Sum Rate in the Downlink of Non-Orthogonal Multiple Access Systems (2015, methodology): “The main contributions of this paper can be summarized as follows: • By incorporating decodability constraints to ensure that be ter users can perform SIC, we provide a novel mathematical programming based approachto solve the sum rate maximization problem in the downlink of a MISO system, relying…”
Nonorthogonal Multiple Access in Large-Scale Underlay Cognitive Radio Networks (2016, methodology): “The application of multiple-input multiple-output (MIMO) techniques to NOMA has been considered in [4] by using zero-forcing detection matrices.”
Rate-splitting multiple access for downlink communication systems: bridging, generalizing, and outperforming SDMA and NOMA (2017, background): “Examples of such a strategy can be found in [1], [15], [16], [22], [23], [42].”
Grant-Free Non-Orthogonal Multiple Access for IoT: A Survey (2019, methodology): “ Can be used together with low code rate FEC. LDS code Non-LDS code Receiver type SIC MPA or BP SIC or PIC (iterative) ESE, or MAP/MPA if there exist zero entries, SIC Candidate schemes PD-NOMA [96]–[114] RSMA [115]–[117] LSSA [118] SCMA [72]–[80] PDMA [82]–[87] LDS-SVE [88] MUSA [89] LCRS [94] NCMA”
Exploiting Intelligent Reflecting Surfaces in NOMA Networks: Joint Beamforming Optimization (2019, methodology): “Considering multiple antenna techniques at both the BS and users, Ding et al. [21] studied the precoding and detection designs, where users are partitioned into several clusters and NOMA transmission was applied in each cluster.”
A General Power Allocation Scheme to Guarantee Quality of Service in Downlink and Uplink NOMA Systems (2016, methodology): “To suppress system overhead, a MIMO-NOMA transmission scheme without requiring CSI at the transmitter was proposed in [11] by decomposing a MIMO-NOMA system into multiple separated single-input single-output (SISO) channels.”
Modulation and Multiple Access for 5G Networks (2017, background): “ considerably degraded as the random beamforming can bring uncertainties at the user side. More recently,a precoding and detection framework with ﬁxed power allocationhas been proposed by Ding et al. [37] to solve these problems caused by random beamforming, and demonstrated that MIMO based NOMA can”
Power-Domain Non-Orthogonal Multiple Access (NOMA) in 5G Systems: Potentials and Challenges (2016, methodology): “is worth multiplexing based on a simple condition between the weakest two users within the set. Also, the impact of user pairing on the performance gain of NOMA with a MIMO system 19 was investigated [36], demonstrating that the performance gain of MIMO NOMA over MIMO OMA increases as the number of ”
Evolution of NOMA Toward Next Generation Multiple Access (NGMA) for 6G (2021, methodology): “It is worth noting that although NOMA is not always capacity-achieving for the general Gaussian MISO/MIMO BC, it is still an effective transmission strategy, especially for the overloaded regime(3) [26], [27], where the numbers of available antennas at the BS are smaller than the total number of use”