Power Loading for Multicarrier Cognitive Radio with MIMO Antennas

Phuyal, Umesh; Punchihewa, A.; Bhargava, V.K.; Despins, Charles

doi:10.1109/wcnc.2009.4917913

Cited by 17 publications

(13 citation statements)

References 7 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%

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%

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

Shahraki¹

2015

IET Communications

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“…On the other hand, in [15] the authors used optimization techniques to address the maximum achievable capacity problem of MBMMCAN. Optimization techniques are also used in [16], for power loading and channel selection in a multi-carrier MIMO orthogonal-frequency-division multiplexing (OFDM) based radios to maximize the transmit power and capacity, given a primary users' interference constraint. In [17], the authors used 'user satisfaction' to address the joint power and channel allocation problem for cognitive ad-hoc networks.…”

Section: Related Workmentioning

confidence: 99%

“…Motivated by the works in [12], [16], and [23], we propose a cross-layer MIMO transmit antenna selection algorithm for beamforming to allow for concurrent operation with the primary user for cognitive MIMO networks. Our study explores the combined advantage of beamforming and crosslayer antenna selection algorithm where large performance gains are achieved.…”

Section: Related Workmentioning

confidence: 99%

Combined antenna selection and beamforming in cross-layer design for cognitive networks

Ghosh

Hamouda

2012

2012 IEEE International Conference on Communications (ICC)

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We investigate the performance of an antenna selection algorithm applied with precoding to improve the throughput performance of cognitive multiple-input multiple-output (MIMO) radios. We assume cognitive MIMO radios coexist in the same frequency band with the primary users. In such event, for concurrent spectrum access, cognitive nodes use beamforming techniques to cancel the mutual information between cognitive and primary users. In that, cognitive nodes exploit the degrees of freedom offered by MIMO systems to beamform the transmitted signal in an attempt to cancel interference at primary users. In the cross-layer design, cognitive nodes maximize an objective function for the link layer throughput where precoding is applied at the physical layer on the transmitted spatial multiplexed signals. We present a closed form solution for the overall throughput in-terms of the physical layer parameters. Numerical results are presented to show the efficacy of the proposed scheme for different network settings.

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“…2) Equal Power Allocation Scheme: In this easy-to implement scheme, the total available power is equally divided among all the transmitters and available frequency channels [13]. For our case, this means PB = PR = Pmax/2.…”

Section: {Pbph}mentioning

confidence: 99%

Green resource allocation with QoS provisioning for cooperative cellular network

Phuyal

Jha

Bhargava

2011

2011 12th Canadian Workshop on Information Theory

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Relay-based cooperative transmission in cellular network has been an area of tremendous research recently.Transmission via relays introduces power consumption at both the source and relay stations which may lead to less efficient system in terms of power consumption. Because of increasing energy cost for cellular systems and concern over environmental issues, an energy efficient design of resource allocation scheme in cooperative cellular network is of prime importance. In this paper, we propose a novel resource allocation scheme in order to maximize the energy aware system performance. The proposed low-complexity scheme allocates powers for base station and relay by using a strategy that minimizes required transmit power per unit achieved throughput and at the same time guarantees a predefined quality of service (QoS) which is specified in terms of minimum end-to-end data rate required by each user. Simulation results show that proposed scheme outperforms existing power allocation schemes by decreasing required power to guarantee the QoS without increasing system outage penalty, which is essential for green communication systems.

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Power Loading for Multicarrier Cognitive Radio with MIMO Antennas

Cited by 17 publications

References 7 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

Combined antenna selection and beamforming in cross-layer design for cognitive networks

Green resource allocation with QoS provisioning for cooperative cellular network

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