Unveiling Capacity Gains in Ultradense Networks: Using mm-Wave NOMA

Chandra, Kishor; Marcano, Andrea; Mumtaz, Shahid; Prasad, R. Venkatesha; Christiansen, Henrik Lehrmann

doi:10.1109/mvt.2018.2814822

Cited by 178 publications

(155 citation statements)

References 10 publications

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“…, the second approximation follows from 1 1−x ≈ 1 + x for x → 0 and the last approximation follows from e −x ≈ 1 − x for x → 0 at high SNR, i.e., η 0 → 0. By substituting the PDFs of distance r, angle of U 0 , angle difference φ 0p and α = 2 into (56), after some algebraic manipulations, the coverage probability of U 0 can be expressed in (32).…”

Section: Appendix D Proof For Propositionmentioning

confidence: 99%

“…Given the spectrum congestion in sub-6 GHz communication networks, millimeter wave (mmWave) communication has been considered as a promising enabling technology in 5G and beyond wireless networks with a much higher capacity to meet explosive demands of traffic [1], [2]. When applying mmWave communication to wireless networks, the benefit of mmWave wireless communication will highly rely on the multiple access strategies, which support multi-user communications simultaneously.…”

Section: Introductionmentioning

confidence: 99%

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Performance Analysis of Agile-Beam NOMA in Millimeter Wave Networks

Jing

Zhang

et al. 2020

IEEE Access

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We propose an agile-beam non-orthogonal multiple access (NOMA) scheme for millimeter wave (mmWave) communication networks. The agile-beam NOMA scheme flexibly switches between the single/multi-beam NOMA depending on the user pairing results. In particular, a novel user pairing strategy employing both distance and angle information is designed to facilitate the agile-beam NOMA transmission. More specifically, the base station first selects one user from the far user group randomly and then pairs it with the user that has the minimum angle difference in the near user group. This pairing strategy efficiently exploits the channel sparsity in user domain while supporting flexible mmWave transmission with agilebeam NOMA. Then an in-depth performance analysis is carried out to reveal the interplay between the key system parameters and the coverage probability of the proposed agile-beam NOMA by using the tool of stochastic geometry. Moreover, numerical results demonstrate the superiority of the proposed agile-beam NOMA over the conventional NOMA and orthogonal multiple access (OMA) in mmWave communication networks. INDEX TERMS Millimeter wave (mmWave) communication, non-orthogonal multiple access (NOMA), user pairing.

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Section: Appendix D Proof For Propositionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Agile-Beam NOMA in Millimeter Wave Networks

Jing

Zhang

et al. 2020

IEEE Access

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“…Principally, in uplink NOMA, different NUs of NOMA network transmit nonorthogonal signals over the universally shared spectrum, which are received by the BS. 18 The criterion for transmitting a data signal (at either controlled or maximum power level at the NU side) is dependent on the differences in channel gain values of different NUs in NOMA network. Unlike in the downlink scenario, in the uplink scenario, all the data signals that are received by the BS are the desired signals that are to be decoded independently even though they individually cause interference to each other.…”

Section: Fundamental Concept Behind Uplink Mc-nomamentioning

confidence: 99%

Joint energy efficient power and subchannel allocation for uplink MC‐NOMA networks

Rashid

Ahmad

Saleem

et al. 2020

Int J Communication

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Due to the exponential rise in the number of subscribers in existing wireless networks, energy-efficient distribution and utilization of network resources have become the preliminary objective of researchers nowadays. Nonorthogonal multiple access (NOMA) has attained widespread significance in this regard and has become a strong candidate for enhancing energy efficiency (EE) performance of existing networks. Multicarrier NOMA (MC-NOMA) technique is an extension of NOMA that breaks the available resource block into various subchannels and allocates them efficiently to NOMA users (NUs). MC-NOMA networks have the ability to further enhance system performance by efficiently exploiting channel diversity for addressing the problems of spectral inefficiency and power limitations. Therefore, in this paper, we have considered MC-NOMA technology for an uplink scenario to investigate its performance for enhancing system EE by performing energy-efficient power and subchannel allocation. To this end, we have formulated a joint user clustering, subchannel allocation, and power allocation problem for EE maximization (JSPEE) of uplink MC-NOMA scenario. Due to the nonconvex, combinatorial nature of the problem, we propose a two-step solution: that is, for each subchannel, first, subchannel allocation and user clustering are attained through low-complexity suboptimal algorithm, which is followed by energy-efficient power allocation of NUs. For subchannel allocation and user clustering, we exploit the channel diversity in the form of difference in channel gain values of various users. For power allocation, the nonconvex nature of the formulated problem is tackled by employing Dinkelbach and successive convex approximation (SCA) techniques to attain an energy-efficient solution. Our simulation results portray that the JSPEE algorithm clearly outperforms the current NOMA as well as OMA works and enhances the system EE by efficient user clustering and exploiting channel diversity.

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“…It sinks the computing ability to the edge, which can significantly improve the computing efficiency of mobile users [3][4]. Non-orthogonal multiple access (NOMA) plays an important role in improving spectrum efficiency, providing a large number of connections, and reducing latency [5]. Power multiplexing technology assigns different power to the signals of different users, and superimposes coding at the transmitter.…”

Section: Introductionmentioning

confidence: 99%

Security Energy Efficiency Maximization for Untrusted Relay Assisted NOMA-MEC Network With WPT

Zhao

Bao

2020

IEEE Access

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Relay assisted transmission can effectively improve the range of coverage and offloading efficiency of non-orthogonal multiple access-mobile edge computing (NOMA-MEC) system. However, the relay will become untrusted relay when it is attacked by malicious users, resulting in the leakage of information. To solve this problem, this paper uses destination-assisted jamming to prevent the leakage of information during the offloading process. Under the condition of time delay and energy consumption, we jointly optimize the transmission power allocated to relay, central processing unit (CPU) frequency and offloading time to maximize the security energy efficiency of the user (UE). Since it is a non-convex multiobjective optimization problem, it is decomposed into several suboptimal single-objective sub-problems, and the single-objective sub-problems are transformed into convex problems by Taylor approximation method, then be solved by Lagrange dual method. Besides, the multi-objective iterative algorithm (MOIA) is further proposed to achieve joint optimal solution. The simulation results show that the proposed method can effectively improve the security offloading performance and security energy efficiency compared with other relay assisted offloading methods. INDEX TERMS Non-orthogonal multiple access-mobile edge computing; Untrusted relay; Offloading; Destination-assisted jamming; Security energy efficiency.

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Unveiling Capacity Gains in Ultradense Networks: Using mm-Wave NOMA

Cited by 178 publications

References 10 publications

Performance Analysis of Agile-Beam NOMA in Millimeter Wave Networks

Performance Analysis of Agile-Beam NOMA in Millimeter Wave Networks

Joint energy efficient power and subchannel allocation for uplink MC‐NOMA networks

Security Energy Efficiency Maximization for Untrusted Relay Assisted NOMA-MEC Network With WPT

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