Distributed Control of Multiple Cognitive Radio Overlay for Primary Queue Stability

Lapiccirella, Fabio E.; Liu, Xin; Ding, Zhi

doi:10.1109/twc.2012.121112.111783

Cited by 18 publications

(11 citation statements)

References 34 publications

(33 reference statements)

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“…This delay d ij is the expected response time T, that was given in Equation (4). However, since T depends on the amount of traffic being requested from/to the eNB in question (eNB j), so does d ij .…”

Section: Resultsmentioning

confidence: 99%

“…An M/M/1 queue with service interruption from primary users is considered [3] and a pricing policy is used to charge each secondary user that enters a queue. An access strategy for cognitive radio overlay on top of a primary network that takes into account the primary user link adaptation and other primary link information [4]. By doing this the scheme approximates the optimum method without the need of global channel information.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of vehicular wireless channel communication via queueing theory model

Fowler

Häll

Yuan

et al. 2014

2014 IEEE International Conference on Communications (ICC)

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Abstract-The 4G standard Long Term Evolution (LTE) has been developed for high-bandwidth mobile access for today's data-heavy applications, consequently, a better experience for the end user. Since cellular communication is ready available, LTE communication has been designed to work at high speeds for vehicular communication. The challenge is that the protocols in LTE/LTE-Advanced should not only provide good packet delivery but also adapt to changes in the network topology due to vehicle volume and vehicular mobility. It is a critical requirement to ensure a seamless quality of experience ranging from safety to relieving congestion as deployment of LTE/LTE-Advanced become common. This requires learning how to improve the LTE/LTE-Advanced model to better appeal to a wider base and move toward additional solutions. In this paper we present a feasibility analysis for performing vehicular communication via a queueing theory approach based on a multi-server queue using real LTE traffic. A M/M/m model is employed to evaluate the probability that a vehicle finds all channels busy, as well as to derive the expected waiting times and the expected number of channel switches. Also, when a base station (eNB) becomes overloaded with a single-hop, a multi-hop rerouting optimization approach is presented.

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Section: Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Analysis of vehicular wireless channel communication via queueing theory model

Fowler

Häll

Yuan

et al. 2014

2014 IEEE International Conference on Communications (ICC)

View full text Add to dashboard Cite

show abstract

“…Later, the notation of queue stability will be used to measure whether PU's demand can be fulfilled. In [18], the interference is limited by that PU queue is kept stable under the influence caused by the only one SU access. We continue to utilize this technique in scheduling our multi-SU access system.…”

Section: A Capacity Modelmentioning

confidence: 99%

Cross-Layer Scheduling for OFDMA-Based Cognitive Radio Systems With Delay and Security Constraints

Zhu

Yang

Chen

et al. 2015

IEEE Trans. Veh. Technol.

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This paper considers the resource allocation problem in an Orthogonal Frequency Division Multiple Access (OFDMA) based cognitive radio (CR) network, where the CR base station adopts full overlay scheme to transmit both private and open information to multiple users with average delay and power constraints. A stochastic optimization problem is formulated to develop flow control and radio resource allocation in order to maximize the long-term system throughput of open and private information in CR system and ensure the stability of primary system. The corresponding optimal condition for employing full overlay is derived in the context of concurrent transmission of open and private information. An online resource allocation scheme is designed to adapt the transmission of open and private information based on monitoring the status of primary system as well as the channel and queue states in the CR network. The scheme is proven to be asymptotically optimal in solving the stochastic optimization problem without knowing any statistical information. Simulations are provided to verify the analytical results and efficiency of the scheme. Index Terms-Cognitive radio, physical-layer security, delayaware network, full overlay, cross-layer scheduling.

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“…For example, the authors in [3] proposed a distributed power allocation to maximize the system capacity, where they consider cognitive Gaussian multiple access channels on which the maximization is formulated as a standard nonconvex quadratically constrained quadratic problem. In [4], the cognitive users' throughput is maximized with assurance of primary users data rate. A power control problem in cognitive networks, which maximizes data rate under primary users' interference power constraint is investigated in [5].…”

Section: Introductionmentioning

confidence: 99%

Enhanced Online Q-Learning Scheme for Energy Efficient Power Allocation in Cognitive Radio Networks

AlQerm

Shihada

2019

2019 IEEE Wireless Communications and Networking Conference (WCNC)

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The considerable growth in demands for wireless services have led to spectrum scarcity challenge. Cognitive radio came into practice to deal with the scarcity problem by granting cognitive users access to the licensed spectrum. However, this solution requires efficient power allocation strategies to guarantee QoS for cognitive system, reduce power consumption, and protect primary users from the cognitive users' interference impact. In this paper, we investigate the energy efficient power allocation problem for cognitive radio networks in underlay mode. We propose a novel approximated online Q-learning scheme for power allocation in which cognitive users learn with conjecture feature to select the most appropriate power level. The power allocation problem is formulated as an optimization problem with the goal to maximize energy efficiency under QoS and interference constraints. The scheme is evaluated using software defined radio testbed and simulations. The evaluation results demonstrate the scheme capability to guarantee SINR for both primary and cognitive systems and mitigate interference with minimum power consumption in comparison with other schemes.

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Distributed Control of Multiple Cognitive Radio Overlay for Primary Queue Stability

Cited by 18 publications

References 34 publications

Analysis of vehicular wireless channel communication via queueing theory model

Analysis of vehicular wireless channel communication via queueing theory model

Cross-Layer Scheduling for OFDMA-Based Cognitive Radio Systems With Delay and Security Constraints

Enhanced Online Q-Learning Scheme for Energy Efficient Power Allocation in Cognitive Radio Networks

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