Impact of primary networks on the performance of secondary networks

Tran, Hung; Hagos, Maarig Aregawi; Mohamed, Marshed; Zepernick, Hans‐Jürgen

doi:10.1109/commantel.2013.6482363

Cited by 14 publications

(13 citation statements)

References 12 publications

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“…It is recalled that although the power allocation for SUs to meet the primary outage constraint was carried out in [11][12][13][14][15][16], these works did not account for imperfect channel information. As such, (22) and (31) include [11][12][13][14][15][16] as special cases when q xy ¼ 1; 8fx; yg.…”

Section: Power Allocation For Secondary Usersmentioning

confidence: 99%

“…In underlay cognitive networks, the QoS at PUs can be guaranteed once the transmit power of SUs is correspondingly adjusted to satisfy the primary outage constraint [11][12][13][14][15][16]. This constraint can be interpreted as a criterion that constrains the outage probability of PUs to be below a predefined threshold j.…”

Section: Power Allocation For Secondary Usersmentioning

confidence: 99%

“…For the short-term scheme, the transmit power of SUs is subject to either interference power constraint [8][9][10] or both interference power constraint and maximum transmit power constraint [3][4][5][6][7]. Meanwhile, the long-term scheme allocates the transmit power of SUs to satisfy the primary outage constraint [11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

“…It is well-known that the underlay mode is of low implementation complexity, and hence, recently attracting a great deal of attention, e.g. [3][4][5][6][7][8][9][10][11][12][13][14][15][16] and references therein. In this mode, the QoS at PUs is ensured by properly allocating the transmit power of SUs.…”

Section: Introductionmentioning

confidence: 99%

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Exact Outage Analysis of Underlay Cooperative Cognitive Networks with Reactive Relay Selection Under Imperfect Channel Information

Ho-Van

2015

Wireless Pers Commun

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This paper investigates the effect of imperfect channel information on the outage performance of underlay cooperative cognitive networks with reactive relay selection under both primary outage constraint and maximum transmit power constraint. Towards this end, we firstly propose a power allocation scheme for secondary users to meet both constraints and take into account channel estimation error. Then, based on this scheme we propose an exact closed-form outage probability expression for secondary networks. This expression facilitates in quickly assessing the performance behaviour of underlay cooperative cognitive networks with reactive relay selection in different aspects and provides useful insights into the system performance. Various results show considerable system performance degradation due to imperfect channel information, a performance trade-off between the secondary network and the primary network, the performance saturation phenomenon in the secondary network, and the significant performance improvement with respect to the increase in the number of relays.

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Section: Power Allocation For Secondary Usersmentioning

confidence: 99%

Section: Power Allocation For Secondary Usersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Exact Outage Analysis of Underlay Cooperative Cognitive Networks with Reactive Relay Selection Under Imperfect Channel Information

Ho-Van

2015

Wireless Pers Commun

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“…To limit harmful interference to the PU-Rx, various interference constraints, e.g., outage constraint, peak or average interference power constraints and SU power allocation strategies have been studied [3]- [7]. Further, different performance metrics such as ergodic capacity [4], [6], [8], [9], outage capacity [4] and outage probability [9] have been considered for the secondary network performance analysis.…”

Section: Introductionmentioning

confidence: 99%

Achievable secrecy capacity in an underlay cognitive radio network

Sibomana

Zepernick

Tran³

2014

2014 IEEE Conference on Communications and Network Security

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Achieved throughput of OFDM‐based cognitive radio systems in the presence of inphase quadrature imbalance

Mohajeran

Sadough

2016

Trans. Emerging Tel. Tech.

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Cognitive radio (CR) systems based on orthogonal frequency‐division multiplexing have so far obtained a great deal of attention in wireless communications requiring higher data rates. It is well known that the highest achievable data rate in a wireless communication system is restricted by some factors including the wireless communication channel and the hardware imperfection, which are unavoidable in practice. One of the most important implementation issues that significantly affects the performance of the receiver and the transmitter is the amplitude and phase imbalance in the inphase and quadrature branches, or for brevity inphase and quadrature imbalance (IQI). This imbalance is due to non‐ideal local oscillators at the transmitter or at the receiver of direct conversion systems. In this paper, the ergodic capacity is investigated in a CR system based on orthogonal frequency‐division multiplexing. We also inspect the outage probability, which is restricted by the common IQI challenge in the transmitter of the secondary user (SU) and in the receiver of the SU in a Rayleigh fading channel. First, we obtain an approximate closed‐form expression for the ergodic capacity and the outage probability in a multi‐carrier system. Then we investigate the special cases in which IQI only exists at the receiver or at the transmitter. We show that when IQI only exists at the transmitter of the SU, the approximate closed‐form outage probability of the SU approaches its exact value. Also, when IQI only exists at the receiver or at the transmitter of the SU, the approximate closed form of the ergodic capacity of the secondary link approaches its exact value. Numerical results validate the obtained analytical expression in the CR system. Our results may serve in the evaluation of the trade‐off between the required quality of service (in terms of secondary achieved throughput and the outage probability) and CR system parameters in the presence of IQI. Copyright © 2016 John Wiley & Sons, Ltd.

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Impact of primary networks on the performance of secondary networks

Cited by 14 publications

References 12 publications

Exact Outage Analysis of Underlay Cooperative Cognitive Networks with Reactive Relay Selection Under Imperfect Channel Information

Exact Outage Analysis of Underlay Cooperative Cognitive Networks with Reactive Relay Selection Under Imperfect Channel Information

Achievable secrecy capacity in an underlay cognitive radio network

Achieved throughput of OFDM‐based cognitive radio systems in the presence of inphase quadrature imbalance

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