BER Performance of Uplink NOMA With Joint Maximum-Likelihood Detector

Yeom, Jeong Seon; Jang, Han Seung; Ko, Kab Seok; Jung, Bang Chul

doi:10.1109/tvt.2019.2933253

Cited by 84 publications

(52 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, the system performance improves with an increasing number of antennas on the UR and an increasing number of IDs. In future work, we will consider issues related to sensitive and nonlinear EH models [ 70 , 71 ], joint maximum likelihood (ML) decoding [ 72 , 73 ] and imperfect SIC [ 74 , 75 ] for NOMA in IoT systems, including consideration of multihop URs to improve the OP and throughput performance for IoT applications.…”

Section: Discussionmentioning

confidence: 99%

System Performance Analysis for an Energy Harvesting IoT System Using a DF/AF UAV-Enabled Relay with Downlink NOMA under Nakagami-m Fading

Nguyen

So-In

et al. 2021

Sensors

View full text Add to dashboard Cite

This paper investigates system performance in the Internet of Things (IoT) with an energy harvesting (EH) unmanned aerial vehicle (UAV)-enabled relay under Nakagami-m fading, where the time switching (TS) and adaptive power splitting (APS) protocols are applied for the UAV. Our proposed system model consists of a base station (BS), two IoT device (ID) clusters (i.e., a far cluster and a near cluster), and a multiantenna UAV-enabled relay (UR). We adopt a UR-aided TS and APS (U-TSAPS) protocol, in which the UR can dynamically optimize the respective power splitting ratio (PSR) according to the channel conditions. To improve the throughput, the nonorthogonal multiple access (NOMA) technique is applied in the transmission of both hops (i.e., from the BS to the UR and from the UR to the ID clusters). The U-TSAPS protocol is divided into two phases. In the first phase, the BS transmits a signal to the UR. The UR then splits the received signal into two streams for information processing and EH using the APS scheme. In the second phase, the selected antenna of the UR forwards the received signal to the best far ID (BFID) in the far cluster and the best near ID (BNID) in the near cluster using the decode-and-forward (DF) or amplify-and-forward (AF) NOMA scheme. We derive closed-form expressions for the outage probabilities (OPs) at the BFID and BNID with the APS ratio under imperfect channel state information (ICSI) to evaluate the system performance. Based on these derivations, the throughputs of the considered system are also evaluated. Moreover, we propose an algorithm for determining the nearly optimal EH time for the system to minimize the OP. In addition, Monte Carlo simulation results are presented to confirm the accuracy of our analysis based on simulations of the system performance under various system parameters, such as the EH time, the height and position of the UR, the number of UR antennas, and the number of IDs in each cluster.

show abstract

Section: Discussionmentioning

confidence: 99%

System Performance Analysis for an Energy Harvesting IoT System Using a DF/AF UAV-Enabled Relay with Downlink NOMA under Nakagami-m Fading

Nguyen

So-In

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…We remark that the bounding parameter δ (a.k.a. "search ball radius") establishes the tightness within which the squared distance y − Hs 2 2 is made to adhere, and is typically determined by the noise power [29], since noise variance is standardly available in practical systems [30].…”

Section: Optimal Regularization Parameter Of Idls Frameworkmentioning

confidence: 99%

Robust Symbol Detection in Large-Scale Overloaded NOMA Systems

Iimori

Abreu

Hara

et al. 2021

IEEE Open J. Commun. Soc.

View full text Add to dashboard Cite

We present a framework for the design of low-complexity and high-performance receivers for multidimensional overloaded NOMA systems. The framework is built upon a novel compressed sensing (CS) regularized maximum likelihood (ML) formulation of the discrete-input detection problem, in which the 0-norm is introduced to enforce adherence of the solution to the prescribed discrete symbol constellation. Unlike much of preceding literature e.g., [1]-[7], the method is not relaxed into the 1-norm, but rather approximated with a continuous and asymptotically exact expression without resorting to parallel interference cancellation (PIC). The objective function of the resulting formulation is thus a sum of concave-over-convex ratios, which is then tightly convexified via the quadratic transform (QT), such that its solution can be obtained via the iteration of a simple closed-form expression that closely resembles that of the classic zero-forcing (ZF) receiver, making the method particularly suitable to large-scale setups. By further transforming the aforementioned problem into a quadratically constrained quadratic program with one convex constraint (QCQP-1), the optimal regularization parameter to be used at each step of the iterative algorithm is then shown to be the largest generalized eigenvalue of a pair of matrices which are given in closed-form. The method so obtained, referred to as the Iterative Discrete Least Square (IDLS), is then extended to address several factors of practical relevance, such as noisy conditions, imperfect channel state information (CSI), and hardware impairments, thus yielding the Robust IDLS algorithm. Simulation results show that the proposed art significantly outperforms both classic receivers, such as the LMMSE, and recent CS-based state-of-the-art (SotA) alternatives, such as the sum-of-absolute-values (SOAV) and the sum of complex sparse regularizers (SCSR) detectors. It is also shown via simulations that the technique can be integrated with existing iterative detection-and-decoding (IDD) methods, resulting in accelerated convergence.

show abstract

“…On the other hand, it is also essential to theoretically study BER performances. For instance, theoretical BER expressions of downlink and uplink NOMA systems are investigated in [6]- [9] and [9]- [11], respectively.…”

Section: Introductionmentioning

confidence: 99%

On the Performance of GFDM Assisted NOMA Schemes

et al. 2020

View full text Add to dashboard Cite

From the points of spectral efficiency, low latency and massive connectivity, novel modulation and multiple access schemes have been proposed in fifth generation (5G) wireless networks. However, the combinations of multiplexing and multiple access techniques have not been widely investigated in most literatures. Therefore, we joint generalized frequency division multiplexing (GFDM) waveforms and power-domain non-orthogonal multiple access (NOMA) systems together in order to further extend the framework of multi-carrier NOMA, and also achieve performance evaluations for NOMA networks with one base station and two users. Basically, theoretical BER expressions of downlink and uplink GFDM assisted NOMA schemes are mathematically derived and then verified by simulation results. In addition, combined performance advantages, including higher achievable sum rate, lower peak-to-average power ratio (PAPR) and out of band power (OOBP) radiation, can be obtained in GFDM assisted NOMA networks. INDEX TERMS 5G, generalized frequency division multiplexing (GFDM), non-orthogonal multiple access (NOMA), multi-carrier NOMA, theoretical BER.

show abstract

BER Performance of Uplink NOMA With Joint Maximum-Likelihood Detector

Cited by 84 publications

References 13 publications

System Performance Analysis for an Energy Harvesting IoT System Using a DF/AF UAV-Enabled Relay with Downlink NOMA under Nakagami-m Fading

System Performance Analysis for an Energy Harvesting IoT System Using a DF/AF UAV-Enabled Relay with Downlink NOMA under Nakagami-m Fading

Robust Symbol Detection in Large-Scale Overloaded NOMA Systems

On the Performance of GFDM Assisted NOMA Schemes

Contact Info

Product

Resources

About