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Capacity Limits Over Fading Environment with Imperfect Channel State Information for Cognitive Radio Networks

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Spectrum Sharing in Cognitive Radio Networks

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Abstract

The access strategy to provide efficient spectrum allocation to the cognitive user is an important issue in cognitive radio communication network research. The channel state information (CSI) between cognitive user (CU) transmitter and the primary user (PU) receiver is employed to compute the maximum CU transmit power allowable to limit the interference. Channel capacity is the best performance metric to analyze any cognitive radio network model, and several capacity notions are expressed for different fading channels, such as ergodic capacity for the fast-fading channel and outage capacity for the slow-fading channel. Various researchers have analyzed the capacity limits of the CU link over different fading channels with perfect and imperfect CSI. In this chapter, we explore an optimal power allocation scheme for spectrum sharing with imperfect channel state information between the CU and PU over a Rayleigh fading environment. We analyze the ergodic capacity of the CU link under the combination of peak transmit power and peak/average interference power constraints with and without primary user interference. In addition, we analyze the outage capacity with multiple primary user interference with the error variance under the joint peak transmit power and peak interference power constraint, as well as individual peak interference power constraint. Moreover, we investigate the power expenditure to achieve the lower limit of ergodic and outage capacity. The minimum mean square channel estimation technique is used for the channel estimation between the CU and PU. However, the convex optimization method is employed for the optimal power allocation.

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Authors and Affiliations

  1. Jaypee University of Information Technology, Solan, Himachal Pradesh, India

    Shweta Pandit

  2. Department of Electronics and Communication Engineering, Jaypee University of Information Technology, Solan, Himachal Pradesh, India

    Ghanshyam Singh

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  1. Shweta Pandit
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  2. Ghanshyam Singh
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Correspondence to Shweta Pandit .

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Pandit, S., Singh, G. (2017). Capacity Limits Over Fading Environment with Imperfect Channel State Information for Cognitive Radio Networks. In: Spectrum Sharing in Cognitive Radio Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-53147-2_8

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  • DOI: https://doi.org/10.1007/978-3-319-53147-2_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-53146-5

  • Online ISBN: 978-3-319-53147-2

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