Exact Performance Analysis of MIMO Cognitive Radio Systems Using Transmit Antenna Selection

Tourki, Kamel; Khan, Fahd Ahmed; Qaraqe, Khalid; Yang, Hong-Chuan; Alouini, Mohamed‐Slim

doi:10.1109/jsac.2014.140305

Cited by 64 publications

(54 citation statements)

References 21 publications

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“…For the case P S (x) = α exp(−βx), we use the expression of the average SER in (11). By substituting (10) into (11), the average SER can be calculated as:…”

Section: Average Symbol Error Ratementioning

confidence: 99%

“…However, such results cannot be directly applied to the underlay CR systems because the additional primary interference constraint may further affect the antenna selection criterion on the secondary transmitter. The performance analysis of the underlay CR system with transmit antenna selection (TAS) has been recently studied [8][9][10][11]. The work of [8] analyzed the SU's capacity performance with TAS under the primary interference constraint.…”

Section: Introductionmentioning

confidence: 99%

“…Further in [10], the authors analyzed the performance of a MIMO cognitive system employing TAS/MRC with the peak transmit power at SU and the peak interference power constraint at PU, and the closed form expressions are obtained via the moment generating function, in terms of the SER and the ergodic capacity, respectively. The work of [11] considered TAS scheme in spectrum sharing MIMO CR system that the antenna with the maximal ratio of the secondary channel gain to the secondary-primary interference channel gain is selected, and the thorough performance of the secondary system is analyzed in terms of outage probability, symbol error rate and ergodic capacity.…”

Section: Introductionmentioning

confidence: 99%

“…References [8][9][10][11] have all assumed that SU has full channel state information (CSI) knowledge between its transmitter and the PU receiver to protect the PU by the peak interference power constraint. However, in practice, SU may not acquire the perfect CSI of the interference link, because of several factors such as channel estimation errors and/or feedback delay, the obtained CSI may be imperfect and hence may differ from its actual value.…”

Section: Introductionmentioning

confidence: 99%

“…However, to the best of our knowledge, most existing works about TAS in the underlay CR systems only focus on the performance analysis with perfect CSI of the SU-PU link (e.g., See [8][9][10][11]). The imperfect CSI of the interference link is rarely investigated.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Performance analysis of transmit antenna selection for cognitive radio systems with imperfect channel estimation

Lan

Chen

Zhang

et al. 2016

EURASIP J. Adv. Signal Process.

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In this article, we consider a spectrum sharing cognitive radio network with a transmit antenna selection scheme, subject to the peak interference constraint of primary user (PU) and the maximum transmit power limit of secondary user (SU). Due to time-varying properties or feedback latency, the channel estimation of the link from secondary transmitter to primary receiver may be imperfect, which will result in the violation of the interference constraint at PU. Under the condition of imperfect channel state information (CSI), we derive the cumulative distribution function (CDF) and probability density function (PDF) of the SU's signal to noise ratio (SNR). Then, we obtain the closed-form expressions of average symbol error rate (SER) and capacity for the secondary system, respectively. Extensive simulations are performed with various system parameters to validate the correctness of our theoretical analysis.

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“…For the case P S (x) = α exp(−βx), we use the expression of the average SER in (11). By substituting (10) into (11), the average SER can be calculated as:…”

Section: Average Symbol Error Ratementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Performance analysis of transmit antenna selection for cognitive radio systems with imperfect channel estimation

Lan

Chen

Zhang

et al. 2016

EURASIP J. Adv. Signal Process.

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Cooperative Communication Techniques for Spectrum Sharing

2020

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Outage performance and ergodic capacity of multiuser cognitive MIMO AF relaying systems with MUS/MRT/RAS over Nakagami‐m fading channels

Jia

Xie

Yang

et al. 2015

Trans. Emerging Tel. Tech.

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To improve the performance of cognitive spectrum‐sharing systems and to reduce the implementation complexity of multiple antenna systems, a cognitive multiple‐input multiple‐output (MIMO) amplify‐and‐forward relay cooperation (C‐MIMO AF‐RC) multiuser system is considered over Nakagami‐m fading channels by integrating maximum ratio transmission (MRT), multiuser selection (MUS) and receive antenna selection (RAS) techniques. In the C‐MIMO AF‐RC multiuser systems, all secondary users (SUs) are equipped with multiple antennas while the primary users (PUs), single antenna. The interested cognitive systems are investigated under the case where the systems have perfect or imperfect channel state information (CSI) of both the SUs–SUs and SUs–PUs links so that the effect of outdated CSI can be achieved. Specially, we first obtain the exact closed‐form expressions of the cumulative distribution function of end‐to‐end signal‐to‐noise ratio. Secondly, we perform a comprehensive comparison investigation on outage probability and ergodic capacity. Specially, based on moment generating function, the exact closed‐form expression of ergodic capacity is achieved. Finally, to highlight the insight of the effect of key system parameters, the high signal‐to‐noise ratio asymptotic analysis of outage probability is performed as well as diversity and coding gains, by considering the two cases where the systems have perfect or imperfect CSI of both the SUs–SUs and SUs–PUs links. The derivations clearly show that the CSI concerning SUs–PUs links only affects the coding gain, but not the diversity order. However, the CSI concerning the SUs–SUs links plays a key role on the achievable diversity order. In particular, when the CSI of SUs–SUs links is perfect, the C‐MIMO AF‐RC multiuser systems achieve the full diversity including not only MRT diversity but also MUS and RAS diversities. In contrast, when the CSI concerning secondary links is outdated, the MUS and RAS diversities disappear, and the MUS and RAS only improve coding gain. The remaining diversity is achieved through MRT.

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Exact Performance Analysis of MIMO Cognitive Radio Systems Using Transmit Antenna Selection

Cited by 64 publications

References 21 publications

Performance analysis of transmit antenna selection for cognitive radio systems with imperfect channel estimation

Performance analysis of transmit antenna selection for cognitive radio systems with imperfect channel estimation

Cooperative Communication Techniques for Spectrum Sharing

Outage performance and ergodic capacity of multiuser cognitive MIMO AF relaying systems with MUS/MRT/RAS over Nakagami‐m fading channels

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