Exact Outage Probability of Cognitive Underlay DF Relay Networks with Best Relay Selection

Bao, Vo Nguyen Quoc; Duong, Trung Q.

doi:10.1587/transcom.e95.b.2169

Cited by 25 publications

(29 citation statements)

References 16 publications

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“…, P } includes the set of system operational parameters and the function Φ (s, v, M ; χ) is given by (10) at the top of the next page. It is noted that in (10), the function ζ (β; χ) is expressed as…”

Section: Bit Error Rate Analysismentioning

confidence: 99%

“…Using this expression in (10) and finally in (9), a closed-form approximate expression for the average BER of M −QAM is deduced that will be shown in the next section to be highly accurate for all tested cases. To the best of the author's knowledge, the presented closed-form approximation holding for closely spaced relays has not been reported before in the open technical literature.…”

Section: Special Case: Closely Located Relaysmentioning

confidence: 99%

“…Due to the advantageous feature of low implementation complexity, the underlay mode has recently attracted a notable deal of attention, e.g. [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] and the references therein. In this mode, SUs must adaptively control their transmit power in order for the induced interference to be strictly maintained within levels that can be tolerated by PUs.…”

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confidence: 99%

“…Outage probability (OP) of underlay DF cognitive networks with relay selection has been extensively studied in several research works, such as [3][4][5][6][7][8][9][10][11][12]. Specifically, the authors in [3], [5][6][7][8][9][10][11][12] assume single-carrier transmission, while [4] considers multi-carrier transmission.…”

mentioning

confidence: 99%

“…Specifically, the authors in [3], [5][6][7][8][9][10][11][12] assume single-carrier transmission, while [4] considers multi-carrier transmission. Furthermore, in order to guarantee certain quality of service for PUs, the authors in [3], [5], [6], [11], [12] investigate both interference power and maximum transmit power constraints, while [7], [9], [10] study only the interference power constraint. The OP constraint at PUs was considered in [8], while several relay selection methods have been proposed in [3, 6-8, 11, 24-26].…”

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confidence: 99%

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Bit error rate of underlay decode-and-forward cognitive networks with best relay selection

et al. 2015

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This paper provides an analytic performance evaluation of the bit error rate (BER) of underlay decode-and-forward cognitive networks with best relay selection over Rayleigh multipath fading channels. A generalized BER expression valid for arbitrary operational parameters is firstly presented in the form of a single integral, which is then employed for determining the diversity order and coding gain for different best relay selection scenarios. Furthermore, a novel and highly accurate closed-form approximate BER expression is derived for the specific case where relays are located relatively close to each other. The presented results are rather convenient to handle both analytically and numerically, while they are shown to be in good agreement with results from respective computer simulations. In addition, it is shown that as in the case of conventional relaying networks, the behaviour of underlay relaying cognitive networks with best relay selection depends significantly on the number of involved relays.

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Section: Bit Error Rate Analysismentioning

confidence: 99%

Section: Special Case: Closely Located Relaysmentioning

confidence: 99%

mentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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Bit error rate of underlay decode-and-forward cognitive networks with best relay selection

et al. 2015

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Exact outage analysis of underlay cooperative cognitive networks with maximum transmit‐and‐interference power constraints and erroneous channel information

Ho-Van

2013

Trans. Emerging Tel. Tech.

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This paper presents exact analysis of interference probability and outage probability of underlay cooperative cognitive networks under quite general conditions such as imperfect channel information, maximum transmit-and-interference power constraints, correlation among received signal-to-noise ratios and non identically distributed fading channels. In addition, asymptotic outage analysis at either large maximum transmit power or large maximum interference power is proposed to have useful insights into performance limits of underlay cooperative cognitive networks. Analytical results reveal that underlay cooperative cognitive networks dramatically suffer outage saturation phenomenon, and saturation degree significantly depends on channel estimation quality. Moreover, the performance of both licenced network in terms of interference probability and unlicenced network in terms of outage probability is considerably deteriorated by channel estimation error. Furthermore, optimum relay position is dependent of several factors such as maximum transmit power, maximum interference power, licensee position and channel estimation quality.

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Joint impacts of hardware impairments, imperfect CSIs, and interference constraints on underlay cooperative cognitive networks with reactive relay selection

Son

2018

Telecommun Syst

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In this paper, we investigate joint impacts of hardware impairments, imperfect channel state information (CSI) and interference constraints at secondary users in an underlay decode-and-forward cognitive network with multiple primary receivers, called as JIC protocol. A best secondary relay is derived from the reactive relay selection which maximizes signal-to-interferenceand-distortion-and-noise ratios from a candidates relay set to a secondary destination over Rayleigh fading channels. The exact and asymptotic closed-form outage probability expressions are obtained to evaluate the system performance of the JIC protocol, and then are verified by the Monte Carlo simulations. Contributions show performance degradation of the JIC protocol due to the hardware impairments, the imperfect CSIs, and the interference constraints, and the significant performance improvement with respect to optimal impairment levels and optimal relay locations as well as the increase in the number of the secondary relays. In addition, insightful discussions with the conventional direct transmission are provided. Finally, the exact and asymptotic closed-form expressions are valid to the simulation results.

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Exact Outage Probability of Cognitive Underlay DF Relay Networks with Best Relay Selection

Cited by 25 publications

References 16 publications

Bit error rate of underlay decode-and-forward cognitive networks with best relay selection

Bit error rate of underlay decode-and-forward cognitive networks with best relay selection

Exact outage analysis of underlay cooperative cognitive networks with maximum transmit‐and‐interference power constraints and erroneous channel information

Joint impacts of hardware impairments, imperfect CSIs, and interference constraints on underlay cooperative cognitive networks with reactive relay selection

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