Wireless Multimedia Cognitive Radio Networks: A Comprehensive Survey

Amjad, Muhammad Faisal; Rehmani, Mubashir Husain; Mao, Shiwen

doi:10.1109/comst.2018.2794358

Cited by 155 publications

(57 citation statements)

References 323 publications

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“…where V i and ε Ci is the channel dispersion and the transmission error probability of the k ith user employing the OMA operation. From (15) the required SNR to calculate the transmission error probability (ε Ci ) and queueing-delay violation probability (ε Qi ) for k ith user under OFDMA operation can be described as follows: where γ i is SNR and E B i (θ i ) is the effective-bandwidth with θ i as the QoS exponent of the k ith user.…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

“…As a future work, we will perform an-depth performance analysis of NOMA for URLLC communications with different arrival rate and by optimizing the different resources in the system. We will also integrate other state-of-the-art technologies such as cogntive radio networks [15], [16] and wireless sensor networks [17] with NOMA-URLLC to investigate the delay-sensitive applications.…”

Section: Performance Evaluationmentioning

confidence: 99%

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Performance Analysis of NOMA for Ultra-Reliable and Low-Latency Communications

Amjad

Musavian

2018

2018 IEEE Globecom Workshops (GC Wkshps)

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Grant-free non-orthogonal multiple access (NOMA) has been regarded as a key-enabler technology for ultra-reliable and low-latency communications (URLLC). In this paper, we analyse the performance of NOMA with short packet communications for URLLC. In this regard, the overall packet loss probability consists of transmission error probability and queueing-delay violation probability. Queueing-delay has been modelled using the effective bandwidth. Due to short transmission time, the infinite block-length has been replaced with finite blocklength of the channel codes which rules out the application of Shannon's formula. The achievable effective bandwidth of the system is derived, and then, the transmission error probability has been analysed. The derivations are validated through extensive simulations, which shows the variations of the signal-to-noise ratio (SNR) requirements of the system for various transmissionerror probability, QoS exponent, and the transmission packet size.

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Section: System Model and Problem Formulationmentioning

confidence: 99%

Section: Performance Evaluationmentioning

confidence: 99%

Performance Analysis of NOMA for Ultra-Reliable and Low-Latency Communications

Amjad

Musavian

2018

2018 IEEE Globecom Workshops (GC Wkshps)

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“…S PECTRUM resource scarcity motivates researchers to develop new spectrum management techniques [1]- [4]. Cognitive radio networks (CRNs), in which secondary users (SUs) are allowed to sense and access the spectrum white spaces by using dynamic spectrum access (DSA) technology, has become a promising approach to further improve SU's spectrum efficiency [3], [5].…”

Section: Introductionmentioning

confidence: 99%

A Neural Network Prediction-Based Adaptive Mode Selection Scheme in Full-Duplex Cognitive Networks

Zhang

Hou

Towhidlou

et al. 2019

IEEE Trans. Cogn. Commun. Netw.

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We propose a neural network (NN) predictor and an adaptive mode selection scheme for the purpose of both improving secondary user's (SU's) throughput and reducing collision probability to the primary user (PU) in full-duplex (FD) cognitive networks. SUs can adaptively switch between FD transmissionand-reception (TR) and transmission-and-sensing (TS) modes based on the NN prediction results for each transmission duration. The prediction performance is then analysed in terms of prediction error probability. We also compare the performance of our proposed scheme with conventional TR and TS modes in terms of SUs average throughput and collision probability, respectively. Simulation results show that our proposed scheme achieves even better SUs average throughput compared with TR mode. Meanwhile, the collision probability can be reduced close to the level of TS mode.

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“…e introduction of cognitive radio technology can intelligently use a large amount of idle spectra without affecting other authorized users and improve communication performance on high reliability. It is particularly important to apply cognitive radio technology in the vehicle-enabled small-cell environment to improve vehicle communication services [2][3][4] and enhance the radio resource efficiency [5].…”

Section: Introductionmentioning

confidence: 99%

Spectrum Sharing with Dynamic Cournot Game in Vehicle-Enabled Cognitive Small-Cell Networks

Jiang

2019

Journal of Computer Networks and Communications

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Cognitive radio technology can effectively improve spectrum efficiency in wireless networks and is also applicable to vehicle smallcell networks. In this paper, we consider the problem of spectrum sharing among a vehicle primary user (V-PU) and multiple vehicle secondary users (V-SUs). is problem is modeled as a competition market, and the solution for V-SUs is designed using a non-cooperative game. A utility function that measures the profit of the V-PU considering quality of service (QoS) is proposed, aiming at maximizing the profit of the V-PU. Nash equilibrium is obtained as the best solution in our game. en, the realistic vehicle-enabled cognitive small-cell network is considered in building the dynamic spectrum allocation problem. e V-SUs adjust their current strategies gradually and iteratively based on the observations on the strategies of the previous moment. is adjustment parameter is controlled by the frequency of adjustment. e stability analysis of the dynamic game is given out subsequently for dynamic spectrum allocation. e numerical results show the effectiveness of the proposed dynamic spectrum scheme for vehicle-enabled cognitive small-cell networks and Nash equilibrium point's existence.

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Wireless Multimedia Cognitive Radio Networks: A Comprehensive Survey

Cited by 155 publications

References 323 publications

Performance Analysis of NOMA for Ultra-Reliable and Low-Latency Communications

Performance Analysis of NOMA for Ultra-Reliable and Low-Latency Communications

A Neural Network Prediction-Based Adaptive Mode Selection Scheme in Full-Duplex Cognitive Networks

Spectrum Sharing with Dynamic Cournot Game in Vehicle-Enabled Cognitive Small-Cell Networks

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