Energy efficiency analysis of secondary networks in cognitive radio systems

Mesοdiakaki, Agapi; Adelantado, Ferrán; Alonso, Luis; Verikoukis, Christos

doi:10.1109/icc.2013.6655206

Cited by 10 publications

(5 citation statements)

References 8 publications

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“…This scenario is applicable to wireless sensor networks in which child nodes can employ the channel switching strategy in order to improve their average capacity while fulfilling the minimum average capacity constraint of the parent node. Also, it can be stated that the channel switching strategy may improve the energy efficiency of the communication system by requiring a lower average power to achieve the same average channel capacity achieved by the conventional methods [32,33].…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

Optimal channel switching in multiuser systems under average capacity constraints

Sezer

Gezici

2017

Digital Signal Processing

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In this paper, the optimal channel switching problem is studied for average capacity maximization in the presence of multiple receivers in the communication system. First, the optimal channel switching problem is proposed for average capacity maximization of the communication between the transmitter and the secondary receiver while fulfilling the minimum average capacity requirement of the primary receiver and considering the average and peak power constraints. Then, an alternative equivalent optimization problem is provided and it is shown that the solution of this optimization problem satisfies the constraints with equality. Based on the alternative optimization problem, it is obtained that the optimal channel switching strategy employs at most three communication links in the presence of multiple available channels in the system. In addition, the optimal strategies are specified in terms of the number of channels employed by the transmitter to communicate with the primary and secondary receivers. Finally, numerical examples are provided in order to verify the theoretical investigations.

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Section: System Model and Problem Formulationmentioning

confidence: 99%

Optimal channel switching in multiuser systems under average capacity constraints

Sezer

Gezici

2017

Digital Signal Processing

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“…Zhao and others tackled the problem of interference estimation in a channel, in a scenario with one primary user and multiple secondary users [13]. Mesodiakaki and others evaluated a novel, contention-aware channel selection algorithm that focused on energy efficiency improvement in a secondary network, in a scenario where other, non-cooperating secondary networks were also using the primary resources [14]. Mesodiakaki and others evaluated the performance of a secondary network coexistence scheme, in terms of fairness, and showed that, in comparison to other state-of-the-art approaches, it could achieve throughput and energy efficiency gains, while maintaining fairness among the coexisting secondary networks [15].…”

Section: Related Workmentioning

confidence: 99%

“…By re-defining P idle as P(A 0 |A 0 ), throughput was acquired, as shown in (13): To calculate an effective throughput, time slot utilization, U ts , was defined as the ratio of a successful transmission period over the total time period, as shown in (14) below:…”

Section: Bayrakdarmentioning

confidence: 99%

Exploiting cognitive wireless nodes for priority‐based data communication in terrestrial sensor networks

Bayrakdar

2019

ETRI Journal

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A priority-based data communication approach, developed by employing cognitive radio capacity for sensor nodes in a wireless terrestrial sensor network (TSN), has been proposed. Data sensed by a sensor node-an unlicensed user-were prioritized, taking sensed data importance into account. For data of equal priority, a first come first serve algorithm was used. Non-preemptive priority scheduling was adopted, in order not to interrupt any ongoing transmissions. Licensed users used a nonpersistent, slotted, carrier sense multiple access (CSMA) technique, while unlicensed sensor nodes used a nonpersistent CSMA technique for lossless data transmission, in an energy-restricted, TSN environment. Depending on the analytical model, the proposed wireless TSN environment was simulated using Riverbed software, and to analyze sensor network performance, delay, energy, and throughput parameters were examined. Evaluating the proposed approach showed that the average delay for sensed, high priority data was significantly reduced, indicating that maximum throughput had been achieved using wireless sensor nodes with cognitive radio capacity.

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“…Spectrum sensing in multi-channel systems spends a significant portion of time and energy resources due to the large number of sensed channels [4]. Thus, many works in the literature have investigated this problem, where some energyefficient CSS schemes have been proposed.…”

Section: Introductionmentioning

confidence: 99%

Optimizing the number of samples for multi-channel spectrum sensing

Althunibat

Vuong

Granelli

2015

2015 IEEE International Conference on Communications (ICC)

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Spectrum sensing in cognitive radio technology consumes a significant amount of time and energy resources. Thus, it has a direct effect on the achievable throughput and consumed energy. In case of multi-channel systems, the problem becomes more affective since both the resources expenditure and the performance influence of spectrum sensing increase. Considering energy detection as the spectrum sensing method, a number of energy samples should be collected from each channel. Unlike the conventional scheme, the number of samples collected from each channel should be different due to the variant channel conditions. In this paper, the number of samples collected from each channel is optimized based on different setups, namely, throughput maximization setup, interference minimization setup, ans sensing energy minimization setup.

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Energy efficiency analysis of secondary networks in cognitive radio systems

Cited by 10 publications

References 8 publications

Optimal channel switching in multiuser systems under average capacity constraints

Optimal channel switching in multiuser systems under average capacity constraints

Exploiting cognitive wireless nodes for priority‐based data communication in terrestrial sensor networks

Optimizing the number of samples for multi-channel spectrum sensing

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