Decode and forward relaying for energy‐efficient multiuser cooperative cognitive radio network with outage constraints

Naeem, Muhammad; Illanko, Kandasamy; Karmokar, A.K.; Anpalagan, Alagan; Jaseemuddin, Muhammad

doi:10.1049/iet-com.2013.0119

Cited by 21 publications

(19 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Scheme I, we adopt the Dinkelbach method for maximizing

E_{e f f} ((), P_{t})

without considering any constraints. The iterative method is same as discussed in Naeem et al In Scheme II, the iterative method discussed in Wu et al is adopted for power allocation to the VSUs. This scheme maximizes

E_{e f f} ((), P_{t})

under the constraints 22a and 22b without considering the variations of channel gains with the velocity of the vehicles at different instances.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…The aid of parametric transformation method with this adaptive algorithm can effectively solve our optimization problem consisting of time‐variant channel responses. Finally, simulation results are demonstrated to validate the performance of our proposed approaches. The efficacy of our scheme is compared with other existing schemes . Those papers solved the EE maximization problem in the CRN considering the static CRs.…”

Section: Introductionmentioning

confidence: 99%

“…The efficacy of our scheme is compared with other existing schemes. 25,26 Those papers solved the EE maximization problem in the CRN considering the static CRs. Different from those techniques, this paper proposes an adaptive interference-aware power allocation algorithm suitable for CR-VANET.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An intelligent approach for resource allocation in the cognitive radio vehicular ad hoc network

Das

2017

Trans. Emerging Tel. Tech.

View full text Add to dashboard Cite

With the overwhelming demand for wireless devices, cognitive radios (CRs) have been envisioned to be applied in the vehicular communications in the near future. In the moving vehicular scenario, reliable detection of the primary user and the interference‐aware power allocation to the vehicular secondary users (VSUs) are amongst the main challenging issues in CR. So, this paper proposes techniques to evaluate the false alarm probability and detection probability on the basis of the spatial correlation among the vehicular users in a soft decision fusion‐based CR vehicular ad hoc network. Further, an attempt has been made to optimize the power allocation to the VSUs. The energy efficiency maximization problem is formulated under the constraints of maximum transmission power limit, interference to the primary receiver and the minimum achievable data rate. For the nonlinear and nonconvex optimization problem to be solved, the parametric transformation is used. The power allocation to the VSUs satisfying the nonlinear constraints is solved by our proposed adaptive scheme on the basis of normalized least mean square algorithm. The relevant simulation results provided show the efficacy of our proposed scheme, and the effect of different network parameters is also studied.

show abstract

“…In Scheme I, we adopt the Dinkelbach method for maximizing

E_{e f f} ((), P_{t})

E_{e f f} ((), P_{t})

under the constraints 22a and 22b without considering the variations of channel gains with the velocity of the vehicles at different instances.…”

Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An intelligent approach for resource allocation in the cognitive radio vehicular ad hoc network

Das

2017

Trans. Emerging Tel. Tech.

View full text Add to dashboard Cite

show abstract

“…In, the optimal power allocation was obtained by using fractional programming approach in green CRN under the PU's interference constraint. Then, the same method was implemented in decode‐and‐forward (DF) relaying based green CR for optimal power allocation under the interference and outage constraints . An energy‐efficient model can be designed by minimizing the energy consumption rather by improving EE.…”

Section: Introductionmentioning

confidence: 99%

“…Then, the same method was implemented in decode-and-forward (DF) relaying based green CR for optimal power allocation under the interference and outage constraints. 18 An energy-efficient model can be designed by minimizing the energy consumption rather by improving EE. In, 19 such type of design was suggested in multiple amplify-and-forward (AF) relays-based single source and destination CRN, where the total power consumption was reduced under the constraints of detection performance and interference to the PU.…”

Section: Introductionmentioning

confidence: 99%

A novel approach for energy‐efficient resource allocation in double threshold‐based cognitive radio network

Das

2016

Int J Communication

View full text Add to dashboard Cite

Summary This paper mainly focuses on solving the energy efficiency (EE) maximization problem in double threshold‐based soft decision fusion (SDF) cooperative spectrum sensing (CSS) in the cognitive radio network (CRN). The solution to this objective problem starts with the selection of suitable secondary users (SUs) both for the spectrum sensing and data transmission. Here, energy efficiency is maximized under the constraints of interference to the primary user (PU), an acceptable outage of SUs, the transmission power of the SUs and the probability of false alarm. We propose a novel algorithm called iterative Dinkelbach method (IDM) which jointly optimizes the sensing time and transmission power allocation to the SUs. Further, Lagrangian duality theorem is employed to find the exact power assigned to the SUs. Finally, simulation results are carried out to validate the effectiveness of our proposed scheme by comparing with the other existing schemes. The performance is also analyzed for different system parameters.

show abstract

Energy-Efficient Power Allocation for Multi-user Single-DF-Relay Networks

Wang

Liu

2017

Wireless Pers Commun

View full text Add to dashboard Cite

Decode and forward relaying for energy‐efficient multiuser cooperative cognitive radio network with outage constraints

Cited by 21 publications

References 27 publications

An intelligent approach for resource allocation in the cognitive radio vehicular ad hoc network

An intelligent approach for resource allocation in the cognitive radio vehicular ad hoc network

A novel approach for energy‐efficient resource allocation in double threshold‐based cognitive radio network

Energy-Efficient Power Allocation for Multi-user Single-DF-Relay Networks

Contact Info

Product

Resources

About