Power allocation in multiple-input multiple-output orthogonal frequency division multiplexing-based cognitive radio networks

Shahraki, Hamid Shahrokh; Mohamed-pour, Kamal

doi:10.1049/iet-com.2010.0262

Cited by 14 publications

(19 citation statements)

References 15 publications

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“…Specially, we introduce two different kinds of white spaces in TV bands with different power usage limitation, which make the proposed optimisation problem different from previous works, which have been done in this context. Efficient power allocation has been investigated for single user MIMO-OFDM-based CR systems in [4,11]. Shahraki et al, [12] extended the work of Shahraki and Mohamed-Pour [4] for multi-user case and extracted a proper resource allocation using dual Lagrange method.…”

Section: Iet Communicationsmentioning

confidence: 99%

“…For a MIMO-OFDM system, The interference introduced by the jth antenna of ith sub-carrier to the lth DTV sub-channel, I l ij (d il , P ij ), can be obtained as follows [4,17] …”

Section: Different Kinds Of Limitationmentioning

confidence: 99%

“…MIMO-OFDM is capable of deactivating subcarriers across its transmission bandwidth that could potentially interfere with the transmission of TV users according to using OFDM structure for its transmission. Moreover, it can support a high aggregate data rate with the remaining subcarriers, because of the advantages offered by its MIMO nature [4].…”

Section: Introductionmentioning

confidence: 99%

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Opportunistic usage of television white space with respect to the long term evolution‐advanced parameters

Shahraki¹

2015

IET Communications

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Change of transmission from analogue to digital in television (TV) systems has resulted in the formation of considerable spectrum holes in various geographical locations. Cognitive radio (CR) is one of the best structures that can be opportunistically used for optimal exploitation of these spectral sources. In this study, the authors intend to investigate the use of multiple-input multiple-output orthogonal frequency division multiple access-based structure in the TV white spaces bands in the downlink path with respect to long term evolution advanced (LTE-A) parameters. For this purpose, while different spectrum holes in the TV frequency range have been introduced, their limitations in practical applications have fully been discussed. Besides, since the previous power allocation algorithms are not effective enough to be applied in the present scenario, a proper algorithm for maximising the total capacity of the CR system has been introduced. The performance efficiency of the proposed power allocation algorithm has been evaluated and justified through the consideration of the system parameters based on the LTE-A standard.

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Section: Iet Communicationsmentioning

confidence: 99%

“…For a MIMO-OFDM system, The interference introduced by the jth antenna of ith sub-carrier to the lth DTV sub-channel, I l ij (d il , P ij ), can be obtained as follows [4,17] …”

Section: Different Kinds Of Limitationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Opportunistic usage of television white space with respect to the long term evolution‐advanced parameters

Shahraki¹

2015

IET Communications

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“…Since mmse (p Note that in [12], the optimal power is derived only for the Gaussian input, whereas, our optimal power derivation is generic and is valid for any input distributions.…”

Section: Optimal Power Allocation Policy For Mimo-ofdm Schemementioning

confidence: 99%

“…In [12], optimal power is evaluated for MIMO-OFDM based CR systems 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 MIMO-OFDM based CR systems.…”

Section: Introductionmentioning

confidence: 99%

Optimal power allocation for MIMO-OFDM based Cognitive Radio systems with arbitrary input distributions

Ahmed

Al-Imari

Xiao

et al. 2013

2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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Abstract-In Cognitive Radio (CR) systems, the data rate of the Secondary User (SU) can be maximized by optimizing the transmit power, given a threshold for the interference caused to the Primary User (PU). In conventional power optimization algorithms, the Gaussian input distribution is assumed, which is unrealistic, whereas the Finite Symbol Alphabet (FSA) input distribution, (i.e., M-QAM) is more applicable to practical systems. In this paper, we consider the power optimization problem in multiple input multiple output orthogonal frequency division multiplexing based CR systems given FSA inputs, and derive an optimal power allocation scheme by capitalizing on the relationship between mutual information and minimum mean square error. The proposed scheme is shown to save transmit power compared to its conventional counterpart. Furthermore, our proposed scheme achieves higher data rate compared to the Gaussian optimized power due to fewer number of subcarriers being nulled. The proposed optimal power algorithm is evaluated and compared with the conventional power allocation algorithms using Monte Carlo simulations. Numerical results reveal that, for distances between the SU transmitter and the PU receiver ranging between 50m to 85m, the transmit power saving with the proposed algorithm is in the range 13 − 90%, whereas the rate gain is in the range 5 − 31% depending on the modulation scheme (i.e., BPSK, QPSK and 16-QAM) used.

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2012

Cognitive Radio Communications and Networking

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Power allocation in multiple-input multiple-output orthogonal frequency division multiplexing-based cognitive radio networks

Cited by 14 publications

References 15 publications

Opportunistic usage of television white space with respect to the long term evolution‐advanced parameters

Opportunistic usage of television white space with respect to the long term evolution‐advanced parameters

Optimal power allocation for MIMO-OFDM based Cognitive Radio systems with arbitrary input distributions

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