Capacity in fading environment based on soft sensing information under spectrum sharing constraints

Bala, Indu; Bhamrah, Manjit Singh; Singh, Ghanshyam

doi:10.1007/s11276-015-1172-0

Cited by 20 publications

(8 citation statements)

References 23 publications

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“…Alternatively, [3] used a cluster-based cooperative spectrum sensing method to find the channel's status [16][17][18][19][20]. Recent work by the authors of [4] has proposed an iterative algorithm for interweave CR-IoT devices that incorporate a dynamic sensing threshold and sensing time. However, the CR-IoT device is still vulnerable to decreased throughput, degraded QoS, and unstable communication when a PU is present, even with this solution in place.…”

Section: Hybrid Spectrum Access (Has)mentioning

confidence: 99%

“…CR-IoT devices) can opportunistically exploit channels that are unoccupied or under-utilized by licensed spectrum users, known as the primary users (PUs). This opportunistic channel exploitation frees up communication room for the growing tsunami of IoT devices that may crowd the unlicensed spectrum [1][2][3][4][5]. This paper will explore the design and development of a dynamic spectrum access technique for CR-IoT devices.…”

Section: Introductionmentioning

confidence: 99%

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Design and Development of Hybrid Spectrum Access Technique for CR-IoT Network

lakhian¹

2023

Mesopotamian Journal of Computer Science

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The radio spectrum is an underutilized natural resource with significant untapped potential. The rapid proliferation of Internet of Things (IoT) devices is driving a dramatic increase in radio spectrum demand. These devices can utilize cognitive radio (CR) technology to access the bandwidth left unused by licensed spectrum users, also known as primary users (PUs), to meet end users spectrum requirements efficiently. However, because PUs are given priority, CR-enabled Internet of Things (CR-IoT) devices, also known as secondary users (SU), must frequently communicate with one another in an opportunistic manner or under stringent power constraints. This can complicate CR-IoT device communication, render it unstable, and restrict its throughput. This paper proposes a hybrid spectrum access algorithm that combines underlay and interweave spectrum access methods to address this issue. When a PU is detected, under the proposed scheme, CR-IoT devices utilize underlay spectrum access. In contrast, when no PU is detected, CR-IoT devices employ interweave spectrum access. In addition, a proposed iterative algorithm permits CR-IoT devices to adapt their sensing thresholds, and sensing time based on the Signal-to-Noise ratio (SNR) received from Pus to strike a balance between achievable throughput and fairness among PUs and CR-IoT devices in extremely noisy channel. Simulation results demonstrate that the throughput for CR-IoT devices increases by 28% in proposed scheme when compared to the conventional spectrum access schemes.

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Section: Hybrid Spectrum Access (Has)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design and Development of Hybrid Spectrum Access Technique for CR-IoT Network

lakhian¹

2023

Mesopotamian Journal of Computer Science

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“…As the world moves towards a fully connected smart future, the growth of IoT devices has increased the need for better RF spectrum management. The unlicensed spectrum band is becoming overcrowded, with IoT devices projected to reach 29 billion by 2030 [1][2][3][4][5]. Meanwhile, the FCC reported that the licensed spectrum bands are underutilized [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Enhancing Hybrid Spectrum Access in CR-IoT Networks: Reducing Sensing Time in Low SNR Environments

Hlapisi

2023

Mesopotamian Journal of Computer Science

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The current utilization of the licensed spectrum band is not optimal. the abundance of Internet of Things (IoT) gadgets could lead to congestion in the unlicensed spectrum band. A potential solution is to integrate cognitive radios into IoT devices, specifically by developing CR-IoT (cognitive-radio-enabled IoT) devices that leverage the hybrid spectrum access (HSA) technique to access the licensed spectrum band and employ energy detectors for spectrum sensing. While HSA can enable high data throughput for CR-IoT networks, environments with low signal-to-noise ratio (SNR) may experience reduced performance. Particularly, in low SNR environments with SNR values ranging from -20dB to -24dB, the high level of noise uncertainty can cause the energy detector to spend more time sensing, which results in a significant reduction in transmission time and overall throughput. In this study, a novel approach is presented to address the challenge of noise uncertainties on the energy detector by implementing an adaptive sensing threshold. The simulation outcomes reveal that the proposed technique can significantly improve the throughput in scenarios characterized by low signal-to-noise ratio (SNR), with a maximum enhancement of up to 28%. This innovative approach can pave the way for more robust and efficient energy detectors in the presence of noise uncertainties .

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“…Many spectrum sensing techniques are developed for CR networks such as energy detection, matched filter detection, cyclostationary feature detection, and so forth. However, due to ease in implementation and no prior information requirement, the energy detection technique is most popular 5–7 . The performance of any sensing scheme is measured in terms of the probability of miss detection and the probability of false alarm.…”

Section: Introductionmentioning

confidence: 99%

“…However, due to ease in implementation and no prior information requirement, the energy detection technique is most popular. [5][6][7] The performance of any sensing scheme is measured in terms of the probability of miss detection and the probability of false alarm. Generally, miss detection occurs when SU fails to detect the presence of PU in a channel when it is present and causes high interference to the PU.…”

Section: Introductionmentioning

confidence: 99%

Energy‐efficient framework for throughput enhancement of cognitive radio network

Bala

Ahuja

2021

Int J Communication

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Summary Recently, cognitive radio (CR) has evolved as a next‐generation communication technology that has the potential to use the radio frequency (RF) spectrum in most efficient manner as compared to the other existing cellular communication technologies. The performance of CR system largely depends upon the accuracy of the sensing results. However, the sensing ambiguities such as false alarm and miss detection cause spectrum underutilization and severe interference to the primary user (PU), respectively. In this paper, both issues are addressed by modifying the conventional frame structure by introducing two sensing slots along with a transmission slot to overcome sensing ambiguities. For the targeted probability of detection, the first sensing slot is kept small and fixed, and sensing results are stored in a flag bit up to that duration. The second sensing slot (optional) is used whenever the flag bit status varies in the current frame from the previous frame. Considering sensing throughput trade‐off issue of CR, the second sensing slot is optimized to enhance the effective throughput and energy efficiency of the secondary communication system. The simulation results are presented to validate the effectiveness of the proposed scheme with a modified frame structure, which is capable to achieve 65% higher energy efficiency than the conventional scheme when PU is present in a channel, that is, P(H1) = 1.

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Capacity in fading environment based on soft sensing information under spectrum sharing constraints

Cited by 20 publications

References 23 publications

Design and Development of Hybrid Spectrum Access Technique for CR-IoT Network

Design and Development of Hybrid Spectrum Access Technique for CR-IoT Network

Enhancing Hybrid Spectrum Access in CR-IoT Networks: Reducing Sensing Time in Low SNR Environments

Energy‐efficient framework for throughput enhancement of cognitive radio network

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