Power-Efficient Resource Allocation in NOMA Virtualized Wireless Networks

Dawadi, Rajesh; Parsaeefard, Saeedeh; Derakhshani, Mahsa; Le‐Ngoc, Tho

doi:10.1109/glocom.2016.7842162

Cited by 21 publications

(12 citation statements)

References 25 publications

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“…It should be noted that Algorithm 1 has been implemented in Matlab for the case of outage-constrained robust MC-NOMA. For the case of nonrobust MC-NOMA and OFDMA, the algorithms proposed in [11] have been implemented in Matlab. Figure 1 depicts the effect of the number of users on the system performance for outage-constrained robust MC-NOMA and non-robust MC-NOMA with imperfect SIC, for R rsv i = 1 nats/s/Hz and the fixed number of sub-carriers N = 8.…”

Section: Simulation Resultsmentioning

confidence: 99%

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Outage-Constrained Robust Power Allocation for Downlink MC-NOMA with Imperfect SIC

Derakhshani

Lambotharan

2018

2018 IEEE International Conference on Communications (ICC)

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In this paper, we study power allocation for downlink multi-carrier non-orthogonal multiple access (MC-NOMA) systems and examine the effects of residual cancellation errors resulting from imperfect successive interference cancellation (SIC) on the system performance. In the presence of random SIC errors, we study outage probability of minimum reserved rate for individual user and formulate outage-constrained robust optimization to minimize the total transmit power. Since the problem is non-convex due to probabilistic constraints, complementary geometric programming (CGP) and arithmetic geometric mean approximation (AGMA) technique are employed to transform it into a convex form. An efficient iterative algorithm with low computational complexity is developed to solve the optimization problem. Simulation results demonstrate the performance of robust MC-NOMA with imperfect SIC and compare that to non-robust MC-NOMA and orthogonal multiple access (OMA) schemes.

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Section: Simulation Resultsmentioning

confidence: 99%

“…A MIMO-NOMA system for downlink and uplink transmissions was investigated by applying the concept of signal alignment [10]. The application of downlink MC-NOMA to support isolation among different slices in virtualized wireless networks is investigated in [11].…”

Section: Introductionmentioning

confidence: 99%

Outage-Constrained Robust Power Allocation for Downlink MC-NOMA with Imperfect SIC

Derakhshani

Lambotharan

2018

2018 IEEE International Conference on Communications (ICC)

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“…The minimum Hamming distance for a BCH code is d min ≥ 2t + 1 [39][40][41]. However, only a few [n, k] pair values are valid [36,42,43]. A BCH code can correct any group of t or less errors in a block of n bits.…”

Section: Adaptive Bch Codesmentioning

confidence: 99%

“…The rotated constellation is a technique to decrease the fading effects; this is obtained by adding redundancy with a suitable reference angle, combined with interleaving the symbol components to be transmitted [40]. The transmitted data in a certain component are uncorrelated with the transmitted data in the other component [41][42][43]. As a result, the I and Q components of a signal are altered by independent fading components [43,45].…”

Section: Modulation Constellation Rotation and Cyclic-q Delaymentioning

confidence: 99%

Enhanced NOMA System Using Adaptive Coding and Modulation Based on LSTM Neural Network Channel Estimation

et al. 2019

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Non-orthogonal multiple access (NOMA) is the technique proposed for multiple access in the fifth generation (5G) cellular network. In NOMA, different users are allocated different power levels and are served using the same time/frequency resource blocks (RBs). The main challenges in existing NOMA systems are the limited channel feedback and the difficulty of merging it with advanced adaptive coding and modulation schemes. Unlike formerly proposed solutions, in this paper, we propose an effective channel estimation (CE) algorithm based on the long-short term memory (LSTM) neural network. The LSTM has the advantage of adapting dynamically to the behavior of the fluctuating channel state. On average, the use of LSTM results in a 10% lower outage probability and a 37% increase in the user sum rate as well as a maximal reduction in the bit error rate (BER) of 50% in comparison to the conventional NOMA system. Furthermore, we propose a novel power coefficient allocation algorithm based on binomial distribution and Pascal’s triangle. This algorithm is used to divide power among N users according to each user’s channel condition. In addition, we introduce adaptive code rates and rotated constellations with cyclic Q-delay in the quadri-phase shift keying (QPSK) and quadrature amplitude modulation (QAM) modulators. This modified modulation scheme overcomes channel fading effects and helps to restore the transmitted sequences with fewer errors. In addition to the initial LSTM stage, the added adaptive coding and modulation stages result in a 73% improvement in the BER in comparison to the conventional NOMA system.

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“…In [3], the authors solve it in the case where only two users can be served in each channel. In [4], the authors present a solution in order to solve a convex approximation of the initial optimization problem. In [5], the authors propose several sub-optimal resource allocation techniques to solve this problem.…”

Section: Introductionmentioning

confidence: 99%

Optimal Power and Resource Allocation for Transmit Power Minimization in OFDMA-based NOMA Networks

Belis

Bonnefoi

Farès

et al. 2019

2019 IEEE Wireless Communications and Networking Conference (WCNC)

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In this article, we address the problem of optimal joint power and resource allocation when Non-Orthogonal Multiple Access (NOMA) and Orthogonal Frequency Multiple Access (OFDMA) are combined for a hybrid downlink multiple access. First, an optimal solution of joint power and resource allocation minimizing the transmit power consumption, is obtained by rewriting the original optimization problem into an equivalent convex one and then by solving it by means of the well-known interior-point method. Second, we analyze the properties of the optimum, which are twofold; we show that at the optimum, the order of the users is preserved from one channel to another. Then, we derive a closed-form expression for the optimal power allocation in the particular case where all users have positive non-zero transmit powers in all channels.

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Power-Efficient Resource Allocation in NOMA Virtualized Wireless Networks

Cited by 21 publications

References 25 publications

Outage-Constrained Robust Power Allocation for Downlink MC-NOMA with Imperfect SIC

Outage-Constrained Robust Power Allocation for Downlink MC-NOMA with Imperfect SIC

Enhanced NOMA System Using Adaptive Coding and Modulation Based on LSTM Neural Network Channel Estimation

Optimal Power and Resource Allocation for Transmit Power Minimization in OFDMA-based NOMA Networks

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