Energy efficient relay selection and power allocation for cooperative cognitive radio networks

Chen, Jian; Lv, Lu; Liu, Yiyang; Kuo, Yan-Fu; Ren, Chao

doi:10.1049/iet-com.2014.1246

Cited by 35 publications

(27 citation statements)

References 26 publications

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“…where O 1 denotes the event that SU n cannot detect x p and x s , and O 2 denotes the event that though x p and x s can be detected by SU n, either the PU or SU n ′ (n ′ represents the SU whose relaying channel is the weakest) is in outage. From (17), P(O 1 ) can be further written as…”

Section: A User Scheduling Without Instantaneous Csimentioning

confidence: 99%

“…As such, by substituting the results derived in Appendix A into (17), an explicit expression of P mop can be obtained immediately.…”

Section: A User Scheduling Without Instantaneous Csimentioning

confidence: 99%

“…Knowing the fact that the higher order of 1 ρ can be ignored in the high SNR regime, and thus it is readily to attain the diversity order shown in (23). After substituting (17) into 24, D sys can be obtained similarly. This completes the proof.…”

Section: A User Scheduling Without Instantaneous Csimentioning

confidence: 99%

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Design of Cooperative Non-Orthogonal Multicast Cognitive Multiple Access for 5G Systems: User Scheduling and Performance Analysis

Chen

et al. 2017

IEEE Trans. Commun.

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225

143

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Non-orthogonal multiple access (NOMA) is emerging as a promising, yet challenging, multiple access technology to improve spectrum utilization for the fifth generation (5G) wireless networks. In this paper, the application of NOMA to multicast cognitive radio networks (termed as MCR-NOMA) is investigated. A dynamic cooperative MCR-NOMA scheme is proposed, where the multicast secondary users serve as relays to improve the performance of both primary and secondary networks. Based on the available channel state information (CSI), three different secondary user scheduling strategies for the cooperative MCR-NOMA scheme are presented. To evaluate the system performance, we derive the closed-form expressions of the outage probability and diversity order for both networks. Furthermore, we introduce a new metric, referred to as mutual outage probability to characterize the cooperation benefit compared to non cooperative MCR-NOMA scheme. Simulation results demonstrate significant performance gains are obtained for both networks, thanks to the use of our proposed cooperative MCR-NOMA scheme. It is also demonstrated that higher spatial diversity order can be achieved by opportunistically utilizing the CSI available for the secondary user scheduling.

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Section: A User Scheduling Without Instantaneous Csimentioning

confidence: 99%

“…As such, by substituting the results derived in Appendix A into (17), an explicit expression of P mop can be obtained immediately.…”

Section: A User Scheduling Without Instantaneous Csimentioning

confidence: 99%

See 1 more Smart Citation

Design of Cooperative Non-Orthogonal Multicast Cognitive Multiple Access for 5G Systems: User Scheduling and Performance Analysis

Chen

et al. 2017

IEEE Trans. Commun.

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225

143

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“…Cognitive radio (CR) is widely recognized as a promising solution to the lack of wireless spectrum resources . The secondary users (SUs) can borrow the authorized spectrum of the primary user (PU) when the interference caused by SUs is tolerable to the PU .…”

Section: Introductionmentioning

confidence: 99%

“…Cognitive radio (CR) is widely recognized as a promising solution to the lack of wireless spectrum resources. [3][4][5] The secondary users (SUs) can borrow the authorized spectrum of the primary user (PU) when the interference caused by SUs is tolerable to the PU. 6 Meanwhile, the nonorthogonal multiple access (NOMA) technology is another promising multiple access (MA) technology that improves the access efficiency of the future mobile networks.…”

Section: Introductionmentioning

confidence: 99%

Edge computing and power control in NOMA‐enabled cognitive radio networks

Cheng

Chen

Liang

2019

Trans Emerging Tel Tech

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Due to the limited computation resources of mobile devices in cognitive radio networks, the secondary users in the network can suffer from long executing time, which is not acceptable for latency‐sensitive and computation‐intensive tasks. To tackle this issue, this paper proposes to reduce the task computing latency for secondary networks by offloading the tasks to edge servers through leveraging mobile edge computing (MEC) that is emerging as a promising technology to augment the computation capacity of mobile devices. Specifically, under the conditions that the interference caused by secondary users is tolerable to primary user and within the available computation resources of the MEC server, the primary user and secondary users both can offload tasks to the MEC server through nonorthogonal multiple access. Thus, we jointly formulate the offloading decision and power control as an optimization problem, aiming at minimizing the overall computing latency for secondary networks. To overcome the computational complexity caused by the nonconvexity of the original problem, we transform the original problem to a solvable problem and decouple the transformed problem into the separate offloading decision and power control. An iterative algorithm is proposed based on block coordinate decent method to achieve the near‐optimal solution. Simulation results show that under the same parameters, such as the number of primary users, maximum transmit power, computational capability of the MEC server and the computational capability of the secondary users, the proposed NOMA‐enabled computation offloading scheme can effectively reduce the overall computing latency for the secondary network and improve the percentage of offloading secondary users than those of OMA‐enabled.

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Hybrid Duplex Relay Selection in Cognitive Radio Network

Xue

Wei-na

et al. 2020

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Energy efficient relay selection and power allocation for cooperative cognitive radio networks

Cited by 35 publications

References 26 publications

Design of Cooperative Non-Orthogonal Multicast Cognitive Multiple Access for 5G Systems: User Scheduling and Performance Analysis

Design of Cooperative Non-Orthogonal Multicast Cognitive Multiple Access for 5G Systems: User Scheduling and Performance Analysis

Edge computing and power control in NOMA‐enabled cognitive radio networks

Hybrid Duplex Relay Selection in Cognitive Radio Network

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