Subcarrier and Power Allocation for LDS-OFDM System

Al-Imari, Mohammed; Imran, Muhammad Ali; Tafazolli, Rahim; Chen, Dageng

doi:10.1109/vetecs.2011.5956554

Cited by 30 publications

(28 citation statements)

References 11 publications

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“…The associated simulation results showed that LDS-OFDM is capable of significantly improving the attainable system performance at a given transmission power, spectral efficiency and fairness. Furthermore, in order to improve the achievable performance of LDS-OFDM, a joint subcarrier and power allocation method was proposed in [72], with the objective of maximizing the weighted sum-rate using an efficient greedy algorithm. As a further result, a pair of PAPR reduction techniques have been proposed for LDS-OFDM in [73].…”

Section: Variable Nodesmentioning

confidence: 99%

A Survey of Non-Orthogonal Multiple Access for 5G

Dai

Wang

Ding

et al. 2018

IEEE Commun. Surv. Tutorials

1,032

624

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Abstract-In the 5th generation (5G) of wireless communication systems, hitherto unprecedented requirements are expected to be satisfied. As one of the promising techniques of addressing these challenges, non-orthogonal multiple access (NOMA) has been actively investigated in recent years. In contrast to the family of conventional orthogonal multiple access (OMA) schemes, the key distinguishing feature of NOMA is to support a higher number of users than the number of orthogonal resource slots with the aid of non-orthogonal resource allocation. This may be realized by the sophisticated inter-user interference cancellation at the cost of an increased receiver complexity. In this article, we provide a comprehensive survey of the original birth, the most recent development, and the future research directions of NOMA. Specifically, the basic principle of NOMA will be introduced at first, with the comparison between NOMA and OMA especially from the perspective of information theory. Then, the prominent NOMA schemes are discussed by dividing them into two categories, namely, power-domain and code-domain NOMA. Their design principles and key features will be discussed in detail, and a systematic comparison of these NOMA schemes will be summarized in terms of their spectral efficiency, system performance, receiver complexity, etc. Finally, we will highlight a range of challenging open problems that should be solved for NOMA, along with corresponding opportunities and future research trends to address these challenges.

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Section: Variable Nodesmentioning

confidence: 99%

A Survey of Non-Orthogonal Multiple Access for 5G

Dai

Wang

Ding

et al. 2018

IEEE Commun. Surv. Tutorials

1,032

624

View full text Add to dashboard Cite

show abstract

“…Moreover, great advancements have been achieved in terms of multiple access technologies such as the non-orthogonal multiple access (NOMA), which may improve the spectral efficiency and latency with respect to orthogonal multiple access (OMA) [8]. Several NOMA schemes have been actively investigated, which can be categorized into two main categories, powerdomain NOMA, [9]- [10] and code-domain NOMA [11]- [12]. The focus of this paper is on the power-domain NOMA.…”

Section: Introductionmentioning

confidence: 99%

Exact BER Performance Analysis for Downlink NOMA Systems Over Nakagami-$m$ Fading Channels

et al. 2019

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In this paper, the performance of a promising technology for the next generation wireless communications, nonorthogonal multiple access (NOMA), is investigated. In particular, the bit error rate (BER) performance of downlink NOMA systems over Nakagami-m flat fading channels, is presented. Under various conditions and scenarios, the exact BER of downlink NOMA systems considering successive interference cancellation (SIC) is derived. The transmitted signals are randomly generated from quadrature phase shift keying (QPSK) and two NOMA systems are considered; two users' and three users' systems. The obtained BER expressions are then used to evaluate the optimal power allocation for two different objectives, achieving fairness and minimizing average BER. The two objectives can be used in a variety of applications such as satellite applications with constrained transmitted power. Numerical results and Monte Carlo simulations perfectly match with the derived BER analytical results and provide valuable insight into the advantages of optimal power allocation which show the full potential of downlink NOMA systems.

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“…We will compare the systemlevel performance for these three multiple access techniques under dynamic resource block and power allocation. For MC-LDSMA, we will use the radio resource allocation algorithm we proposed in [14]. For OFDMA and SC-FDMA, the algorithms proposed in [15] and [12] will be used, respectively.…”

Section: System-level Performancementioning

confidence: 99%

Low Density Spreading for next generation multicarrier cellular systems

Al-Imari

Imran

Tafazolli

2012

2012 International Conference on Future Communication Networks

Self Cite

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Abstract-Multicarrier-Low Density Spreading Multiple Access (MC-LDSMA) is a promising technique for high data rate mobile communications. In this paper, the suitability of using MC-LDSMA in the uplink for next generation cellular systems is investigated. The performance of MC-LDSMA is evaluated and compared with current multiple access techniques, OFDMA and SC-FDMA. Specifically, Peak to Average Power Ratio (PAPR), Bit Error Rate (BER), spectral efficiency and fairness are considered as performance metrics. The link and system-level simulation results show that MC-LDSMA has significant performance improvements over SC-FDMA and OFDMA. It is shown that using MC-LDSMA can significantly improve the system performance in terms of required transmission power, spectral efficiency and fairness among the users.

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Subcarrier and Power Allocation for LDS-OFDM System

Cited by 30 publications

References 11 publications

A Survey of Non-Orthogonal Multiple Access for 5G

A Survey of Non-Orthogonal Multiple Access for 5G

Exact BER Performance Analysis for Downlink NOMA Systems Over Nakagami-$m$ Fading Channels

Low Density Spreading for next generation multicarrier cellular systems

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