A Full Diversity Cooperative Spectrum Sharing Scheme for Cognitive Radio Networks

Manna, Raed F.; Al-Qahtani, Fawaz S.; Zummo, Salam A.

doi:10.1109/access.2017.2732221

Cited by 3 publications

(5 citation statements)

References 32 publications

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“…standard complex Gaussian distributed, independent across transmit antennas. In this model, we adopt the same assumption for underlay spectrum sharing paradigm as in [7], [21], [28]- [31] that the interference from the PT is treated as Gaussian noise or via proper cooperative schemes [32] such that we can obtain analytic results with sufficient insights on the addressed problem. With multiple PTs, this can be justified by the central limit theorem and valid for certain network deployment topologies, for instance when the SR and the PT are far away [7], [31].…”

Section: A Signal Modelmentioning

confidence: 99%

Asymptotic Analysis for Spectrum-Sharing Systems With TAS/MRC Using Extreme Value Theory: An Overlooked Aspect

et al. 2019

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We investigate the asymptotic behavior for an overlooked aspect of spectrum-sharing systems when the number of transmit antennas n t at the secondary transmitter (ST) grows to infinity. Considering imperfect channel state information (CSI), we apply the transmit antenna selection and the maximal-ratio combining techniques at the ST and the secondary receiver (SR), respectively. First, we obtain the signalto-noise ratio (SNR) distributions received by the SR under perfect and imperfect CSI conditions. Then we show that the SNR distributions are tail-equivalent in the sense that the right tails of the two distributions decay in the same rate as the number of transmit antennas n t grows to infinity. Based on the extreme value theory, when the transmit power of the ST is solely limited by the interference constraint, we show that the limiting SNR at the SR is Fréchet-distributed and the limiting rate scales as log(n t ). When the transmit power of ST is determined by both the maximal transmit power and the interference power constraints, the limiting SNR is Gumbel-distributed and the limiting rate scales as log(log(n t )). We further show that the average rate can be estimated by the corresponding easier-to-obtain outage rate. Numerical results indicate that the derived asymptotic rate expressions represent accurate approximations even when n t is ''not-solarge''. Finally, we study the robustness of the secondary transmissions by analyzing the corresponding average symbol error rates (SER) under general modulation and coding schemes. The findings indicate that the SER is Weibull distributed, when the maximal transmit power and interference power constraints are comparable.INDEX TERMS Spectrum sharing, extreme value theory, rate scaling law, symbol error rate.

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Section: A Signal Modelmentioning

confidence: 99%

Asymptotic Analysis for Spectrum-Sharing Systems With TAS/MRC Using Extreme Value Theory: An Overlooked Aspect

et al. 2019

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“…4 assumes that the secondary user is located at the middle of PT and PR, i.e. 13 . The path loss exponent v=4, and signal separation error e=0.1 and R pt = R st =1bits/s/Hz.…”

Section: Power Allocation Schemementioning

confidence: 99%

“…Moreover, the channel condition of the ST SR  link also has an important effect on the communication performance of the secondary system. Hence, in the proposed algorithm, each ST i calculates a priority value that will be used to decide which secondary user to select for relaying; this priority value takes into consideration the distance of PT ST i  links 13 1 1 1 , 1, 2...…”

Section: P Cpmentioning

confidence: 99%

“…Thus, there are totally three different length time slots in one whole transmission period. In the first sub-time slot, the relay could assist the primary user while in the second sub-time slot; they could share the same bandwidth with primary user to transmit their own signals [12][13]. The second way is to divide licensed bandwidth, which means that the relay will use different bandwidth to transmit its own signals and the primary signals respectively during the second transmission time slot [14][15].…”

mentioning

confidence: 99%

“…In the second time slot, ST adopts adaptive relaying mechanism to forward the signal of primary user. To be specific, ST adaptively chooses DF or AF mechanism depending on whether13 …”

mentioning

confidence: 99%

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Transform Domain Processing-Based Cooperative Spectrum Sharing Protocol With Adaptive Relaying

Xiao

Deng

et al. 2018

IEEE Trans. Cogn. Commun. Netw.

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In this paper, we propose a two-time slot cooperative spectrum sharing protocol employing transform domain processing technology, in which primary users and secondary users adopt sinusoidal signals and chirp signals, respectively. Moreover, an adaptive relaying mechanism is used in our protocol to improve the flexibility of cooperation. Then, a Newton iteration method based sub-optimal power allocation algorithm is presented to reduce the complexity of exhaustive method while guaranteeing the outage probability constraint of the primary system. After that, a secondary user selection algorithm which focuses on the statistical channel conditions is proposed to further improve the performance of spectrum sharing. Simulation results show that compared with the existing protocol, outage probability, achievable data rate and average energy efficiency are significantly improved for the secondary system in our proposed protocol. Moreover, lower outage probability, higher achievable data rate and average energy efficiency of the secondary system can be realized with an increase in the number of secondary users.

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Spectrum Sharing in Cognitive Radio Networks

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A Full Diversity Cooperative Spectrum Sharing Scheme for Cognitive Radio Networks

Cited by 3 publications

References 32 publications

Asymptotic Analysis for Spectrum-Sharing Systems With TAS/MRC Using Extreme Value Theory: An Overlooked Aspect

Asymptotic Analysis for Spectrum-Sharing Systems With TAS/MRC Using Extreme Value Theory: An Overlooked Aspect

Transform Domain Processing-Based Cooperative Spectrum Sharing Protocol With Adaptive Relaying

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