Joint Resource Allocation for OFDM-Based Cognitive Two-Way Multiple AF Relays Networks With Imperfect Spectrum Sensing

Li, Hangqi; Zhao, Xiaohui

doi:10.1109/tvt.2018.2817216

Cited by 10 publications

(8 citation statements)

References 32 publications

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“…data rate was maximized in bidirectional cognitive relay networks [1], where secondary users helped primary users to enhance their rate through joint subcarrier and power allocation. Similar problem was investigated in [2], but in a more practical scenario, imperfect spectrum sensing. In addition, the feasibility, sensitivity, convergence and complexity were analyzed.…”

Section: A Related Workmentioning

confidence: 99%

“…where p 1 , p 2 and p r are the power consumptions of nodes S 1 , S 2 and R, respectively, n is path loss exponent, and a = |h 1 | 2 /σ 2 and b = |h 2 | 2 /σ 2 with σ 2 as the noise variance. This approximations in (1)- (2) have been widely adopted without much loss [8], [15]. Firstly, we study the optimal relay deployment while maximizing the minimum utility function under a fixed power allocation.…”

Section: System Modelmentioning

confidence: 99%

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Optimal Relay Deployment in Bidirectional AF Relaying Systems

2019

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Recently, the node deployment problem of a relay network has brought a hot discussion. This paper studies utility function minimum maximization problem of bidirectional amplify and forward relaying systems from the perspective of relay deployment. Since many optimization problems are considered separately, different algorithms are proposed for each optimization problem. So we consider a unified utility function instead of the separate optimization goals. Two different optimization problems are considered. One is to find the optimal relay deployment and optimize the utility function with fixed power allocation. The other is joint optimization of relay deployment and power allocation. Especially when power is fixed, the relay deployment is not a fixed location, but a piecewise function. In order to balance the two opposite transmission directions in bidirectional relaying networks, the relay deployment is related to channel gain and path loss. In addition, approximate and accurate expressions of average relay deployment are investigated when only statistical channel information is available. Simulation results validate that the reasonable relay deployment improves the system performance. INDEX TERMS Bidirectional relaying, relay deployment, power allocation.

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Section: A Related Workmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

Optimal Relay Deployment in Bidirectional AF Relaying Systems

2019

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“…Incorporation of orthogonal frequency division multiplexing (OFDM) technology in broadband communications can alleviate multipath fading against fluctuating channel conditions. In [8], the optimal power allocation, subcarrier pairing, and relay selection matrix were found in OFDM cognitive two-way relay networks with imperfect spectrum sensing. However, the authors in [8] operated a discrete searching method instead of a closed form solution to find optimal power due to the complex rate formula in the presence of imperfect spectrum sensing.…”

Section: Introductionmentioning

confidence: 99%

“…In [8], the optimal power allocation, subcarrier pairing, and relay selection matrix were found in OFDM cognitive two-way relay networks with imperfect spectrum sensing. However, the authors in [8] operated a discrete searching method instead of a closed form solution to find optimal power due to the complex rate formula in the presence of imperfect spectrum sensing. In addition, the step size needs to be adjusted according to the actual implement to ensure the power precision.…”

Section: Introductionmentioning

confidence: 99%

Joint Resource Optimization for Orthogonal Frequency Division Multiplexing Based Cognitive Amplify and Forward Relaying Networks

Qin

Zhou

2020

Sensors

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This paper investigates two resource allocation problems in cognitive relaying networks where both secondary network and primary network coexist in the same frequency band and adopt orthogonal frequency division multiplexing (OFDM) technology. The first one is the sum rate maximization problem of a secondary network under total power budget of a secondary network and tolerable interference constraint of a primary network. The second one is the sum rate maximization problem of a secondary network under separate power budgets of a secondary network and tolerable interference constraint of a primary network. These two optimization problems are completely different from those in traditional cooperative communication due to interference management constraint condition. A joint optimization algorithm is proposed, where power allocation and subcarrier pairing are decomposed into two subproblems with reasonable cost. The first one is a closed form solution of power allocation of the secondary network while managing the interference to a primary network under a constraint condition. The other is optimal subcarrier pairing at given power allocation. Simulation results reveal aspects of average signal to noise ratio (SNR), interference level, relay position, and power ratio on the sum rate of a secondary network.

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“…The spectrum also can be done by using different optimization technique [5].The optimization technique is difficult to understand and mathematical calculation is time consuming [6].…”

Section: Introductionmentioning

confidence: 99%

Spectrum Allocation by Sealed Bid Game Theory

De,

Datta

2019

IJEAT

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Wireless communication subscribers are increasing day by day specially in fifth generation (5G) wireless communication where multiple number of users (Multiple Input Multiple Output or MIMO) can be served in a specific time. The heavy data usage is also enhanced with the increasing the number of subscribers, this data transfer speed depends on the amount of spectrum allocation to the specific subscriber. Thus, spectrum allocation is a major criterion for wireless communication performance improvement. The spectrum allocation efficiency can be observed by Game Theory, which is a popular decision maker of modern era. Sealed Bid Game theory is one of the popular segment of the game theory. The spectrum allocation can be done by using Sealed Bid Game theory and spectrum equilibrium can be observed by using different sub division of Sealed Bid Game theory.

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Joint Resource Allocation for OFDM-Based Cognitive Two-Way Multiple AF Relays Networks With Imperfect Spectrum Sensing

Cited by 10 publications

References 32 publications

Optimal Relay Deployment in Bidirectional AF Relaying Systems

Optimal Relay Deployment in Bidirectional AF Relaying Systems

Joint Resource Optimization for Orthogonal Frequency Division Multiplexing Based Cognitive Amplify and Forward Relaying Networks

Spectrum Allocation by Sealed Bid Game Theory

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