Power Allocation and Performance Analysis in Spectrum Sharing Systems with Statistical CSI

Gong, Xitao; Ispas, Adrian; Dartmann, Guido; Ascheid, Gerd

doi:10.1109/twc.2013.022113.120873

Cited by 27 publications

(25 citation statements)

References 28 publications

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“…In CR, resource allocation is of great importance and has received wide attention [9][10][11][12][13]. An optimal resource allocation strategy for CR not only provides the SU a reasonably high transmission rate with limited power, but also well protects the PU from harmful interference.…”

Section: Introductionmentioning

confidence: 99%

“…2 Wireless Communications and Mobile Computing tolerably AIP of the PU [9,10]. The OP constraint requires that the transmission OP of the PU due to its fading and the interference from the SU is not greater than its acceptable target [11][12][13]. When the AIP constraint or the OP constraint is applied, the designs of the optimal resource allocation strategies for CR are required to compute a parameter with respect to the AIP constraint or the OP constraint, such as a nonnegative dual variable [9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

“…">Related Works and Motivation.Since the operation of a CR should protect the quality of service (QoS) of the PU, a metric that evaluates the performance of the protection of the PU should be imposed. Basically, there are three metrics for protecting the PU from intolerance interference caused by the SU, namely, a peak interference power constraint (PIP), an average interference power (AIP) constraint, and an outage probability (OP) constraint [9][10][11][12][13]. A PIP constraint requires that the instantaneous interference power caused by the SU is below a prescribed interference power threshold, whereas the AIP constraint regulates the long-term interference power over all fading states to be not more than the maximum…”

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confidence: 99%

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Resource Allocation for Green Cognitive Radios: Energy Efficiency Maximization

Zhou

Jiang

2018

Wireless Communications and Mobile Computing

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Green cognitive radios are promising in future wireless communications due to high energy efficiency. Energy efficiency maximization problems are formulated in delay-insensitive green cognitive radio and delay-sensitive green cognitive radio. The optimal resource allocation strategies for delay-insensitive green cognitive radio and delay-sensitive green cognitive radio are designed to maximize the energy efficiency of the secondary user. The peak interference power and the average/peak transmit power constraints are considered. Two algorithms based on the proposed resource allocation strategies are proposed to solve the formulated problems. Simulation results show that the maximum energy efficiency of the secondary user achieved under the average transmit power constraint is higher than that achieved under the peak transmit power constraint. It is shown that the design of green cognitive radio should take the tradeoff between its complexity and its achievable maximum energy efficiency into consideration. Related Works and Motivation.Since the operation of a CR should protect the quality of service (QoS) of the PU, a metric that evaluates the performance of the protection of the PU should be imposed. Basically, there are three metrics for protecting the PU from intolerance interference caused by the SU, namely, a peak interference power constraint (PIP), an average interference power (AIP) constraint, and an outage probability (OP) constraint [9][10][11][12][13]. A PIP constraint requires that the instantaneous interference power caused by the SU is below a prescribed interference power threshold, whereas the AIP constraint regulates the long-term interference power over all fading states to be not more than the maximum

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Resource Allocation for Green Cognitive Radios: Energy Efficiency Maximization

Zhou

Jiang

2018

Wireless Communications and Mobile Computing

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“…In many earlier research works in the literature, [13][14][15][16][17][18][21][22][23] it has been assumed that SUs have the CSI knowledge links between SUs and PU. However, in some other works, eg, Gong et al 24 and Ropokis et al, 25 it was assumed that SUs know only statistical properties of SUs → PU links.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of multiuser selection diversity in SIMO spectrum sharing systems

Aghazadeh

Torabi

2017

Int J Communication

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SummaryIn this paper, a performance analysis is presented for user selection schemes in a single-input multiple-output spectrum sharing system. In the considered system, multiple secondary users try to use the licensed spectrum of a primary user in an opportunistic manner, in which an interference constraint for the primary user is satisfied. In this paper, we first use 2 conventional user selection schemes for single-input multiple-output spectrum sharing system and analyze the system performance for each scheme. We then propose a new user selection scheme that can overcome the limitations of those 2 conventional user selection schemes. As for the performance analysis, the average channel capacity, the outage probability, and the bit error rate performances of the system using the presented user selection schemes are analyzed and mathematical closed-form expressions for the outage probability are derived. The performances of the system are evaluated using the derived mathematical formulas in different cases. In addition, Monte Carlo simulation results are also provided to show the accuracy and correctness of the performed analysis.

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“…The transmissions of the secondary users will cause more interference at the primary users with imperfect channel state information. The authors of [24][25][26][27][28] have studied the transmission performances of the primary and secondary systems under imperfect channel state information.…”

Section: Introductionmentioning

confidence: 99%

Outage performance of relay-assisted primary and secondary transmissions in cognitive relay networks

Zhao

Sun

Chen

et al. 2014

J Wireless Com Network

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In this paper, a two-phase protocol for relay-assisted spectrum sharing in cognitive relay network is proposed. The primary system comprises a transmitter-receiver pair (PT-PR) and a decode-and-forward relay (Relay), while the secondary system comprises a transmitter-receiver pair (ST-SR). In the proposed protocol, the Relay assists the transmissions of the primary users as well as the secondary users where there is no direct link between the ST and the SR. Outage probabilities of the primary system and the secondary system are derived and verified through simulations. Compared with the protocol without cooperation, better outage performance of the primary system is achieved. Meanwhile, though the ST causes interference to the PR, the interference is compensated by the cooperation of the Relay. Moreover, the proposed protocol realizes the communications of the secondary users on the condition that the secondary transmission link is not ideal.

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Power Allocation and Performance Analysis in Spectrum Sharing Systems with Statistical CSI

Cited by 27 publications

References 28 publications

Resource Allocation for Green Cognitive Radios: Energy Efficiency Maximization

Resource Allocation for Green Cognitive Radios: Energy Efficiency Maximization

Performance analysis of multiuser selection diversity in SIMO spectrum sharing systems

Outage performance of relay-assisted primary and secondary transmissions in cognitive relay networks

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