Ergodic capacity and outage probability optimization for secondary user in cognitive radio networks under interference outage constraint

Xu, Ding; Li, Qun

doi:10.1016/j.aeue.2014.02.014

Cited by 12 publications

(6 citation statements)

References 25 publications

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“…Given the highly susceptible THz channel and the fluctuations caused by user mobility in our considered communication setup, outages or violation of QoS requirements are likely to occur. In order to provide high data rates despite channel uncertainties, yet avoid outages caused by beam misalignment, we formulate a multi-objective optimization problem [28], [29]. In addition to the beamforming scheme, we also aim at optimizing the time steps, at which a new pilot measurement is performed, and thereby making the tracking procedure more efficient.…”

Section: Tracking and Problem Statementmentioning

confidence: 99%

Reliable Beam Tracking with Dynamic Beamwidth Adaptation in Terahertz (THz) Communications

Karacora¹,

Chaccour²,

Sezgin³

et al. 2022

Preprint

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THz communication is regarded as one of the potential key enablers for next-generation wireless systems. While THz frequency bands provide abundant bandwidths and extremely high data rates, the operation at THz bands is mandated by short communication ranges and narrow pencil beams, which are highly susceptible to user mobility and beam misalignment as well as channel blockages. This raises the need for novel beam tracking methods that take into account the tradeoff between enhancing the received signal strength by increasing beam directivity, and increasing the coverage probability by widening the beam. To address these challenges, a multi-objective optimization problem is formulated with the goal of jointly maximizing the ergodic rate and minimizing the outage probability subject to transmit power and average overhead constraints. Then, a novel parameterized beamformer with dynamic beamwidth adaptation is proposed. In addition to the precoder, an event-based beam tracking approach is introduced that enables reacting to outages caused by beam misalignment and dynamic blockage while maintaining a low pilot overhead. Simulation results show that our proposed beamforming scheme improves average rate performance and reduces the amount of communication outages caused by beam misalignment.Moreover, the proposed event-triggered channel estimation approach enables low-overhead yet reliable communication.

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Section: Tracking and Problem Statementmentioning

confidence: 99%

Reliable Beam Tracking with Dynamic Beamwidth Adaptation in Terahertz (THz) Communications

Karacora¹,

Chaccour²,

Sezgin³

et al. 2022

Preprint

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show abstract

“…Thus, instead of using the interference power constraint, the interference outage constraint, which allows a certain percentage of outage, is adopted as (21) where is the target interference outage probability. Note that, although a certain percentage of interference outage exists, the PU can be protected as long as the constraint (21) is satisfied, and such kind of constraint has been adopted in existing literature such as [34], [35].…”

Section: Power Allocation With CDImentioning

confidence: 99%

Minimum BER Power Allocation for OFDM-based Cognitive Radio Networks

2015

KSII TIIS

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In this paper, the optimal power allocation algorithm that minimizes the aggregate bit error rate (BER) of the secondary user (SU) in a downlink orthogonal frequency division multiplexing (OFDM) based cognitive radio (CR) system, while subjecting to the interference power constraint and the transmit power constraint, is investigated under the assumption that the instantaneous channel state information (CSI) of the interference links between the secondary transmitter and the primary receiver, and between the primary transmitter and the secondary receiver is perfectly known. Besides, a suboptimal algorithm with less complexity is also proposed. In order to deal with more practical situations, we further assume that only the channel distribution information (CDI) of the interference links is available and propose heuristic power allocation algorithms based on bisection search method to minimize the aggregate BER under the interference outage constraint and the transmit power constraint. Simulation results are presented to verify the effectiveness of the proposed algorithms.

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“…In [8], the optimal power allocation policies to maximize the ergodic/outage capacity of a two-user secondary multiple access channels were obtained in closed-form. In [9], the optimal power allocation policies to jointly maximize the ergodic capacity and minimize the outage probability of the SU, subject to the transmit power constraint and the interference outage constraint, were proposed.…”

Section: Introductionmentioning

confidence: 99%

Effective capacity region and power allocation for two-way spectrum sharing cognitive radio networks

Qun

2015

Sci. China Inf. Sci.

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Effective capacity of delay quality-of-service constrained spectrum sharing cognitive radio with outdated channel feedback SCIENCE CHINA Information Sciences 56, 062311 (2013); Multi-channel power allocation based on market competitive equilibrium in cognitive radio networks SCIENCE CHINA Information Sciences 57, 022307 (2014); Outage analysis of cognitive two-way relaying networks with SWIPT over Nakagami-$\boldsymbol~m$ fading channels SCIENCE CHINA Information Sciences 61, 029303 (2018); Effective capacity region of two-user opportunistic spectrum access SCIENCE CHINA Information Sciences 54, 1928 (2011);. RESEARCH PAPER. SCIENCE CHINA Information Sciences

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Ergodic capacity and outage probability optimization for secondary user in cognitive radio networks under interference outage constraint

Cited by 12 publications

References 25 publications

Reliable Beam Tracking with Dynamic Beamwidth Adaptation in Terahertz (THz) Communications

Reliable Beam Tracking with Dynamic Beamwidth Adaptation in Terahertz (THz) Communications

Minimum BER Power Allocation for OFDM-based Cognitive Radio Networks

Effective capacity region and power allocation for two-way spectrum sharing cognitive radio networks

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