Joint Spectrum Resource Allocation in NOMA-based Cognitive Radio Network With SWIPT

Song, Zhiqun; Wang, Xin; Liu, Yutao; Zhang, Zhongzhao

doi:10.1109/access.2019.2926429

Cited by 44 publications

(20 citation statements)

References 44 publications

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“…The CR-NOMA networks are envisioned to be spectrally efficient with high system capacity. Some of the existing literature have investigated the performance of NOMA integrated with CR networks as in [53], [54].…”

Section: Internet Of Things Devices Underwater Communications Vehicmentioning

confidence: 99%

Non-orthogonal Multiple Access: An Enabler for Massive Connectivity

et al. 2020

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Two of the most challenging goals to be achieved in the fifth generation (5G) and beyond communication are massive connectivity and higher capacity. The use of traditional orthogonal multiple access techniques limits the number of users that can be served using the available resources due to orthogonality constraint. Moreover, the available resources may not be utilized effectively by the alloted users thereby resulting in inefficiency and user unfairness. This imposes a severe drawback in cases where the number of users to be served are high, like in the 5G networks. Hence, introducing non-orthogonality to the multiple access scheme is advocated as a supreme methodology to serve multiple users simultaneously, thereby enhancing the connectivity. In scenarios with massive number of users, non-orthogonal multiple access scheme increases the number of active connections by superimposing the signal of multi-users on a same resource block, thereby also utilizing the available resources efficiently.

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Section: Internet Of Things Devices Underwater Communications Vehicmentioning

confidence: 99%

Non-orthogonal Multiple Access: An Enabler for Massive Connectivity

et al. 2020

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“…Reference [24]- [27] introduced lots of scenarios of CR-NOMA systems along with the system performance analysis. For example, [25] designed a CR-NOMA model and an spectrum efficiency optimization problem which was solved by optimizing the sensing sub-slot. Since CR-NOMA combines the advantages of the energy harvesting and device-to-device transmission mode, it is considered as a promising approach for the coming 5G communication system [26], [27].…”

Section: Introductionmentioning

confidence: 99%

Reliable and Secure Transmission in Multiple Antennas Hybrid Satellite-Terrestrial Cognitive Networks Relying on NOMA

Nguyen

et al. 2020

IEEE Access

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We study a hybrid satellite-terrestrial cognitive network (HSTCN) relying on non-orthogonal multiple access (NOMA) interconnecting a satellite and multiple terrestrial nodes. In this scenario, the long distance communication is achieved by the satellite equipped multiple antennas to send information to a multi-antenna destinations through the base station acting as relay. The secure performance is necessary to study by exploiting the appearance of an eavesdropper attempting to intercept the transmissions from relay to destinations. We explore situation of hardware imperfections in secondary network and deign of multiple antennas need be investigated in term of the physical-layer security by adopting the decode-and-forward (DF) relay strategy. Specifically, we guarantee coverage area by enabling relaying scheme and keep outage probability (OP) performance satisfying required data rates. Moreover, suppose that only the main channels' state information is known while the wiretap channels' state information is unavailable due to the passive eavesdropper, we analyze the secrecy performance in term of intercept probability (IP) of the HSTCN by driving the closed-form expressions of such performance metric. Finally, the presented simulation results show that: 1) The outage behaviors of NOMA-based HSTCN network does not depend on transmit signal to noise ratio (SNR) at source at high SNR; 2) Numerical results show that the such system using higher number of transceiver antennas generally outperform the system with less antennas in terms of OP and IP and reasonable selection of parameters is necessary to remain the secrecy performance of such systems; and 3) By allocating different power levels to tow users, the second user has better secure behavior compared with the first user regardless of other set of satellite links or the number of antennas, which means that the superiority of the second user compared with user the first user in terms of OP and IP are same. INDEX TERMS hybrid satellite-terrestrial cognitive systems, outage probability, Shadowed-Rician fading

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“…Interference graph was introduced to solve the severe inter-cell interference in the densely deployed small base stations (SBS) [9]. A joint power allocation and sensing time optimizing algorithm, subject to the constraints of transmit power, minimum rate requirements and the interference among primary user and secondary users, was proposed to maximize the achievable throughput for the CR network [10]. A novel joint spectrum and power management scheme was presented to maximize the total throughput of the full-duplex ultra-dense network (FDUDN), under the cross-tier interference and quality-of-service constraints [11].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Resource Allocation for Scalable Video Streaming in OFDMA Wireless Networks

Jiao

Yin

2020

IEEE Access

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Mobile video streaming is a successful example of Cyber-Physical-Social Systems (CPSS). How to schedule network resources and provide better mobile video streaming services for mobile users are very important. Scalable video streaming is regarded as a promising technology in wireless networks where the cognitive femtocells are overlaid within the coverage area of a macrocell network. In this paper, we study dynamic resource allocation for scalable video streaming over cache-enabled wireless networks with time-varying channel conditions. We formulate the scalable video streaming problem as a stochastic optimization problem which aims at maximizing the time-averaged system utility subject to the timeaveraged video cache constraint at the server and the cross-tier interference constraint on the primary user under the sparse deployment scenario of femtocells. By employing the Lyapunov optimization theory, we design a dynamic cache and resource allocation (DCRA) algorithm to solve this problem. Furthermore, the problem is decomposed into three subproblems, i.e., video layer selection, cache placement, and wireless resource allocation. Via solving these subproblems, we derive the video layer selection and cache placement strategies, and a wireless resource allocation algorithm to manage the cross-tier interference. Simulation results demonstrate the advantages of the proposed DCRA for streaming scalable video over time-varying wireless networks.

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Joint Spectrum Resource Allocation in NOMA-based Cognitive Radio Network With SWIPT

Cited by 44 publications

References 44 publications

Non-orthogonal Multiple Access: An Enabler for Massive Connectivity

Non-orthogonal Multiple Access: An Enabler for Massive Connectivity

Reliable and Secure Transmission in Multiple Antennas Hybrid Satellite-Terrestrial Cognitive Networks Relying on NOMA

Dynamic Resource Allocation for Scalable Video Streaming in OFDMA Wireless Networks

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