Optimal resource allocation for cognitive radio networks with primary user outage constraint

Lan, Peng; Chen, Lizhen; Zhang, Guowei; Sun, Fenggang

doi:10.1186/s13638-015-0465-4

Cited by 5 publications

(3 citation statements)

References 28 publications

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“…In this section, Monte‐Carlo simulations are performed to show the performance of our proposed power allocation schemes. The following parameters are adopted [16, 21]:

ρ = 1

ν = 4

d_{p p} = d_{12} = 1

d_{p 1} = d_{2 p} = 2

d_{p 2} = d_{1 p} = 2.5

N_{0} = - 50 dBW

R_{p} = 1 bits/s/Hz

, and

P_{m} = P_{1, m} = P_{2, m}

.…”

Section: Performance Resultsmentioning

confidence: 99%

“…The residual self‐interference channels of

{SU}_{1}

and

{SU}_{2}

are modelled as

\sqrt{ρ} h_{11}

and

\sqrt{ρ} h_{22}

, respectively, where

h_{11}

and

h_{22}

denote the loop fading channels and

0 \leq ρ \leq 1

models the effect of self‐interference suppression [18–20]. The channel gains are assumed to follow independent Rayleigh distribution with zero mean and variance

1 / σ_{i j}^{2}

, where

σ_{i j}^{2} = d_{i j}^{ν}

with

d_{i j}^{}

denoting the distance between transmitter i and receiver j , and

ν

being the path‐loss exponent [21]. The thermal noise

n_{i}

at receiver

i \in (}{, 1, 2, p)

is assumed to be additive white Gaussian noise with zero mean and variance

N_{0}

.…”

Section: System Modelmentioning

confidence: 99%

“…In the previous section, the SUs are assumed to know the I‐CSI towards PUs to keep the interference under a predefined threshold. Since the secondary network is typically not coordinated with the primary network and no dedicated feedback channel is available from PUs to SUs, it may be difficult to obtain the I‐CSI of PUs, and unreliable CSI may result in the violation of interference constraint [16, 21]. In this section, we will optimise the power allocation to maximise the channel capacity of SUs under the outage constraint of PUs, where the SUs only requires the S‐CSI of PU [17].…”

Section: Joint Power Allocation With S‐csimentioning

confidence: 99%

See 2 more Smart Citations

Optimal power allocation for bi‐directional full duplex underlay cognitive radio networks

et al. 2018

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“…In this section, Monte‐Carlo simulations are performed to show the performance of our proposed power allocation schemes. The following parameters are adopted [16, 21]:

ρ = 1

ν = 4

d_{p p} = d_{12} = 1

d_{p 1} = d_{2 p} = 2

d_{p 2} = d_{1 p} = 2.5

N_{0} = - 50 dBW

R_{p} = 1 bits/s/Hz

, and

P_{m} = P_{1, m} = P_{2, m}

.…”

Section: Performance Resultsmentioning

confidence: 99%

“…The residual self‐interference channels of

{SU}_{1}

and

{SU}_{2}

are modelled as

\sqrt{ρ} h_{11}

and

\sqrt{ρ} h_{22}

, respectively, where

h_{11}

and

h_{22}

denote the loop fading channels and

0 \leq ρ \leq 1

models the effect of self‐interference suppression [18–20]. The channel gains are assumed to follow independent Rayleigh distribution with zero mean and variance