Outage Analysis of Underlay Cognitive Radio Networks With Multihop Primary Transmission

Park, Jinhyun; Jang, Chulhee; Lee, Jae Hong

doi:10.1109/lcomm.2016.2523989

Cited by 18 publications

(5 citation statements)

References 10 publications

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“…In [23,24], the authors considered the cognitive multi-hop system model and analyzed the performances over a generalized-K distribution. The outage probability analysis of a single-hop CR network was studied in [25] by considering multi-hop relaying in PN. Hussein et al in [26] and the authors in [27] considered a multi-input multi-output (MIMO) multi-hop CR network and investigated its detailed performance.…”

Section: Related Workmentioning

confidence: 99%

Interference Alignment in Multi-Hop Cognitive Radio Networks under Interference Leakage

et al. 2018

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In this work, we examine the interference alignment (IA) performance of a multi-input multi-output (MIMO) multi-hop cognitive radio (CR) network in the presence of multiple primary users. In the proposed architecture, it is assumed that linear IA is adopted at the secondary network to alleviate the interference between primary and secondary networks. By doing so, the secondary source can communicate with the secondary destination via multiple relays without causing any interference to the primary network. Even though linear IA can suppress the interference in CR networks considerably, interference leakages may occur due to a fast fading channel. To this end, we focus on the performance of the secondary network for two different cases: (i) the interference is perfectly aligned; (ii) the impact of interference leakages. For both cases, closed-form expressions of outage probability and ergodic capacity are derived. The results, which are validated by Monte Carlo simulations, show that interference leakages can deteriorate both system performance and the diversity gains considerably.

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Section: Related Workmentioning

confidence: 99%

Interference Alignment in Multi-Hop Cognitive Radio Networks under Interference Leakage

et al. 2018

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“…Although this energy efficient problem is noncovex, the authors in [7] converted it into a biconvex problem by alternate convex search. An exhaustive search was imposed in [8] to determine the number of hops in underlay multihop cognitive radio networks. A problem of secondary rate maximization was formulated in [9] by considering feedback quantization due to imperfect channel state information.…”

Section: Introductionmentioning

confidence: 99%

Performance Optimization for Decode and Forward Cooperative Cognitive Radio Networks

Qin

Zhou

2023

Wireless Communications and Mobile Computing

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This paper considers the problem of optimizing the data rate of the cooperative cognitive system subject to the dual constraints of the interference threshold of primary users and power budget of secondary users. In particular, under a single constraint, the rate can reach its peak easily. But under the double restrictions, the peak rate problem becomes complicated and changeable. According to different interference conditions and power supplies, four scenarios are formulated: total interference threshold and total power budget, total interference threshold and separate power budget, separate interference threshold and total power budget, and separate interference threshold and separate power budget. Each scenario needs to be further divided into many situations for discussion due to the sheer particularity. Through careful comparison and classification, we summarize and formulate each situation one by one to achieve the optimal value of the rate. Extensive simulation results demonstrate that the proposed resource allocation policy represents the best compromise between enhancing the rate of the secondary users and satisfying the interference threshold requirements of the primary users.

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“…Thus, SUs activities on PUs licensed spectrum bands are subjected to the constraint that accumulated interference from all SU nodes must not exceed tolerable interference threshold of the PUs. This constraint is usually referred to as interference threshold or temperature limit (Park, Jang and Lee, 2016). In this paper, the underlay spectrum access model is considered.…”

Section: Introductionmentioning

confidence: 99%

Power Minimization in Dual-Hop Underlay Cooperative Cognitive Radio Relay Networks for Optimal Resource Allocation

Obayiuwana¹,

Periola²,

Fisusi³

2022

FUOYEJET

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In this paper, we investigate a multi-user one-way dual-hop multi-relay cognitive radio underlay spectrum sharing network. .The joint optimal resource allocation of the bandwidth and power allocation in underlay Cooperative Cognitive Radio Relay Network (CCRRN) was studied and a convex optimization analytical framework is presented. A combined optimal power and bandwidth allocation (COPBA) scheme for the minimization of the total network power and blocking probability of the call admission control stage of the CCRRN is investigated. Our goal is to jointly optimize the bandwidth and power allocation such that the total transmission power in the CCRRN is minimized without compromising the Quality of Service (QoS) demands of the secondary users (SUs) and the interference constraint thresholds of the primary users (PUs) in the primary networks. The mathematical model and convex optimization problem with the aim of minimizing the total transmission power of the CCRRN was formulated. The resulting optimization problem was solved in the standard computer based numerical optimization solver package CONOPT in MATLAB/TOMLAB environment. Simulation results obtained is compared the equal-bandwidth optimal power allocation scheme. Keywords—Radio resource allocations; Cognitive radio Networks; Convex optimization; Cooperative relay networks, Transmit power minimization

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Outage Analysis of Underlay Cognitive Radio Networks With Multihop Primary Transmission

Cited by 18 publications

References 10 publications

Interference Alignment in Multi-Hop Cognitive Radio Networks under Interference Leakage

Interference Alignment in Multi-Hop Cognitive Radio Networks under Interference Leakage

Performance Optimization for Decode and Forward Cooperative Cognitive Radio Networks

Power Minimization in Dual-Hop Underlay Cooperative Cognitive Radio Relay Networks for Optimal Resource Allocation

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