Joint Overlay and Underlay Power Allocation Scheme for OFDM-Based Cognitive Radio Systems

Bansal, Gaurav; Duval, O.; Gagnon, François

doi:10.1109/vetecs.2010.5494030

Cited by 42 publications

(36 citation statements)

References 9 publications

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“…Although these three schemes rely on distinct approaches, their advantages can be combined by constructing to hybrid schemes. For example, the underlay and overlay schemes are combined in [73], [74], where the CUs invoke the spectrum overlay technique, if spectrum holes are found. Otherwise, the spectrum underlay technique will be employed.…”

Section: Overview Of Spectrum Sharing Schemesmentioning

confidence: 99%

Cooperative Overlay Spectrum Access in Cognitive Radio Networks

Liang

Hanzo

2017

IEEE Commun. Surv. Tutorials

119

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Abstract-In order to mitigate the shortage of wireless spectrum, the appealing concepts of cooperative communication techniques and cognitive radio networks have been combined for the sake of improving the spectral efficiency and hence the overall system throughput. We mainly survey the overlay spectrum access scheme in this novel cooperative cognitive radio (CCR) network context. Therefore the interference between the Licensed Users/Primary Users (PUs) and the Unlicensed Users/Cognitive Users (CUs) can be offset by relying on some of the CUs to act as Relay Nodes (RN). More specifically, we have investigated the cooperative relaying technique in the context of the overlay spectrum access scheme aiming for allowing the PUs to transmit at a lower power and/or at a higher throughput, while at the same time enabling the CUs to communicate using the bandwidth released. Additionally, gaming techniques can be employed for negotiating between the PUs and the CUs for determining the specific fraction of relaying and active transmission time. Therefore, we will consider two main schemes in the overlay spectrum access scheme based on the CCR network, which are the frequency division based channel as well as the timedivision based channel. Moreover, we have surveyed the relevant advances concerning the game-based model of the overlay-based CR network. Specifically, both the family of non-cooperative and cooperative games as well as matching games have been reviewed. Furthermore, we will review the joint design of coding, modulation, user-cooperation and CCR techniques, which leads to significant mutual benefits for both the PUs and CUs.

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Section: Overview Of Spectrum Sharing Schemesmentioning

confidence: 99%

Cooperative Overlay Spectrum Access in Cognitive Radio Networks

Liang

Hanzo

2017

IEEE Commun. Surv. Tutorials

119

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“…In this mixed scheme, more power is allocated to the interweave subcarriers and less power to the underlay subcarriers since underlay subcarriers introduce more interference to the PU band. This ensures that the interference introduced to the PU bands is below a prescribed threshold but also maintains a total transmission power within the budget [20].…”

Section: Challenges Due To MCM Techniques In Cr Systemmentioning

confidence: 99%

Cognitive Radio Systems: Multicarrier Modulation and Power Allocation Challenges

Ahmed

Al-Imari²,

Xiao³

et al. 2014

J Elec Electron Syst

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“…Moreover, it is worth mentioning that our optimal power derivation is generic and is valid for any input distributions, whereas, in [15] the optimal power is derived only for the Gaussian input distribution.…”

Section: A Optimal Power Allocation Policy For Interference Limited mentioning

confidence: 99%

“…In [15], optimal power is evaluated for joint ISS and USS scheme but again with the Gaussian input assumption. To the best of our knowledge, no work has been done to derive and evaluate optimal power with arbitrary input distributions in joint scheme.…”

Section: Introductionmentioning

confidence: 99%

Power allocation for joint interweave and underlay cognitive radio systems with arbitrary input distributions

Ahmed

Al-Imari

Xiao

et al. 2014

2014 IEEE Wireless Communications and Networking Conference (WCNC)

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Abstract-In the literature, the Gaussian input is assumed in power optimization algorithms. However, this assumption is unrealistic, whereas practical systems use Finite Symbol Alphabet (FSA) input, (e.g., M-QAM). In this paper, we consider the optimal power for joint interweave and underlay CR systems given FSA inputs. We formulated our problem as convex optimization and solved it through general convex optimization tools. We observed that the total SU transmit power is always less than the power budget and remains in interference limited region only over the considered distance range. Therefore, we rederive optimal power with interference constraint only in order to reduce the complexity of the algorithm by solving it analytically. Numerical results reveal that, for the considered distance range, the transmit power saving and the rate gain with the proposed algorithm is in the range 16 − 92% and 7 − 34%, respectively, depending on the modulation scheme (i.e., BPSK, QPSK and 16-QAM) used.

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Joint Overlay and Underlay Power Allocation Scheme for OFDM-Based Cognitive Radio Systems

Cited by 42 publications

References 9 publications

Cooperative Overlay Spectrum Access in Cognitive Radio Networks

Cooperative Overlay Spectrum Access in Cognitive Radio Networks

Cognitive Radio Systems: Multicarrier Modulation and Power Allocation Challenges

Power allocation for joint interweave and underlay cognitive radio systems with arbitrary input distributions

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