Spectrum hand off in Cognitive Radio Network using Dynamic Threshold

Bhushan, Shashi; Bali, Rasmeet Singh; Kaur, Akwinder

doi:10.1109/icgciot.2015.7380665

Cited by 4 publications

(5 citation statements)

References 12 publications

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“…Although this method can reduce the generation of the ping-pong effect, like the dwell countdown timer method, the time estimation for staying needs to continue calculating, resulting in a high computational burden of the system. In addition to the design of a handover algorithm with a fixed threshold, the “dynamic threshold” approach was proposed [ 11 ]. In this approach, the available spectrum is allocated to the UE newly connected to the AP by setting dynamic thresholds.…”

Section: Related Workmentioning

confidence: 99%

User QoS-Based Optimized Handover Algorithm for Wireless Networks

Chu

Wong

Cheng

et al. 2023

Sensors

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Due to the development of wireless network technology, various applications relying on good network quality are widely used on mobile devices. Taking the commonly used video streaming service as an example, a network with high throughput and low packet loss rate can meet the service requirements. When the moving distance of the mobile device is greater than the signal coverage of the AP, it will trigger the handover process to connect to another AP, and cause the network to disconnect and reconnect instantaneously. However, frequently triggering the handover procedure will cause a significant drop in network performance and affect the operation of application services. In order to solve this problem, this paper proposes the OHA and OHAQR. The OHA considers whether the signal quality is good or bad, and uses the corresponding HM method to solve the problem of frequent handover procedures. The OHAQR integrates the QoS requirements of the throughput and packet loss rate into the OHA with the Q-handover score, to provide high-performance handover services with QoS. Our experimental results show that the OHA and OHAQR have 13 and 15 handovers in a high-density scenario, respectively, and are better than the other two methods. The actual throughput and packet loss rate of the OHAQR are 123 Mbps and 5%, respectively, and the network performance is better than that of other methods. The proposed method shows excellent performance in ensuring the network QoS requirements and reducing the number of handover procedures.

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Section: Related Workmentioning

confidence: 99%

User QoS-Based Optimized Handover Algorithm for Wireless Networks

Chu

Wong

Cheng

et al. 2023

Sensors

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“…Chatterjee et al [25] proposed a scheme to test a real-time environment, in which the PU detection probability is found better in a low-SINR region. Bhushan et al [26] proposed solution for the fuzzy logic-based entropy maximization problem under dynamic spectrum sensing and utilization. In the proposed scheme, the dynamic threshold approach is used to analyze the CR-based communications process.…”

Section: Related Workmentioning

confidence: 99%

Hybrid Fuzzy Logic Scheme for Efficient Channel Utilization in Cognitive Radio Networks

et al. 2019

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The proliferation of mobile devices and the heterogeneous environment of wireless communications have increased the need for additional spectrum for data transmission. It is not possible to altogether allocate a new band to all networks, which is why fully efficient use of the already available spectrum is the demand of the day. Cognitive radio (CR) technology is a promising solution for efficient spectrum utilization, where CR devices, or secondary users (SUs), can opportunistically exploit white spaces available in the licensed channels. SUs have to immediately vacate the licensed channel and switch to another available channel when they detect the arrival of the incumbent primary user. However, performance for the SU severely degrades if successive channel switching happens. Moreover, taking the channel-switching decisions based on crisp logic is not a suitable approach in the brain-empowered CR networks (CRNs) where sensing information is not only imprecise and inaccurate but also involves a major uncertainty factor. In this paper, we propose a fuzzy logic-based decision support system (FLB-DSS) that jointly deals with channel selection and channel switching to enhance the overall throughput of CRNs. The proposed scheme reduces the SU channel switching rate and makes channel selection more adaptable. The performance of the proposed scheme is evaluated using a Matlab simulator, and a comprehensive comparison study with a baseline scheme is presented. The simulation results are promising in terms of the throughput and the number of handoffs and making our proposed FLB-DSS a good candidate mechanism for SUs while making judicious decisions in the CR environment. INDEX TERMS Cognitive radio network, fuzzy logic, resource allocation, channel selection, handoff rate.

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“…General cognitive radio networks Cognitive relay network , CRNs (Bhushan et al, 2015;Kaur et al, 2009;Potdar and Patil, 2013;Wang and Wang, 2012;Zhi-jin et al, 2015), Cognitive LTE network (Chen and Hong, 2013) Hybrid…”

Section: Very High Latencymentioning

confidence: 99%

“…SU utilizes the radio spectrum opportunistically by identifying unused spectrum space known as spectrum hole or white space (Chen and Hong, 2013). Reports from FCC and shared spectrum company indicates that white spaces exist in licensed spectrum band accordingly by FCC regulations unlicensed user can now use TV white spaces for their communication Bhushan et al (2015); Chen and Hong (2013); Liu et al (20). In line with the vision of the FCC, the IEEE 802.22 WRAN was developed as a licence-exempt stan-dard to use cognitive radio for wireless access to TV white space (TVWS) (Chen and Hong, 2013;Chiwewe et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

A survey of cognitive radio handoff schemes, challenges and issues for industrial wireless sensor networks (CR-IWSN)

Oyewobi

Hancke

2017

Journal of Network and Computer Applications

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Industrial wireless sensor network (IWSN) applications are mostly timebound, mission-critical and highly delay sensitive applications therefore IWSN defines strict, stringent and unique QoS requirements such as timeliness, reliability and availability. In IWSN, unlike other sensor networks, late arrival of packets or delay or disruption to an on-going communication are considered as critical failure. Also, because IWSN is deployed in the overcrowded industrial, scientific, and medical (ISM) band it is difficult to meet this unique QoS requirements due to stiff competition for bandwidth from other technologies operating in ISM band resulting in scarcity of spectrum for reliable communication and/or disruption of ongoing communication. However, cognitive radio (CR) provides more spectral opportunities through opportunistic-use of unused licensed spectrum while ensuring minimal interference to licensed users. Similarly, spectrum handoff, which is a new type of handoff in cognitive radio, has the potential to offer increase bandwidth, reliable, smooth and interference-free communication for IWSNs through opportunistic-use of spectrum, minimal switching-delays, and efficient target channel selection strategies as well as effective link recovery maintenance. As a result, a new paradigm known as cognitive radio industrial wireless sensor network (CR-IWSN) has become the interest of recent research efforts. In this paper, we highlight and discuss important QoS requirements of IWSN as well as efforts of existing IWSN standards to address the challenges. We discuss the potential and how cognitive radio and spectrum handoff can be useful in the attempt to provide real-time reliable and smooth communication for IWSNs.Keywords: cognitive radio, industrial wireless sensor network, opportunistic use, spectrum handoff, quality of service. (Cheng et al., 2016;Silva et al., 2015;Silva and Hancke, 2016). Therefore, reliable and stable communication is of critical importance and top priority in IWSNs (Kumar S et al., 2014;Phala et al., 2016). For instance, in industrial automation; precision and timeliness are important and in industrial monitoring; availability, reliability, delay-intolerance, and robustness of communication links are key (Abu-Mahfouz and Hancke, 2011;Silva and Hancke, 2016). Yet, these requirements can be relatively difficult to achieve when operating in the ISM band due to interference and overcrowding which result in continuous switching, high latency due to switching, reduced link capacity and disruption of on-going communications. However, spectrum handoff can offer increase bandwidth, reliable, smooth and interference-free communication for IWSNs through opportunistic-use of spectrum, minimal switching-delays, and efficient target channel selection strategies as well as effective link recovery maintenance. A well-planned and designed spectrum handoff technique will provide reliable communication by reducing number of spectrum handoffs and maintaining quality communication link for IWSN systems and application...

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Spectrum hand off in Cognitive Radio Network using Dynamic Threshold

Cited by 4 publications

References 12 publications

User QoS-Based Optimized Handover Algorithm for Wireless Networks

User QoS-Based Optimized Handover Algorithm for Wireless Networks

Hybrid Fuzzy Logic Scheme for Efficient Channel Utilization in Cognitive Radio Networks

A survey of cognitive radio handoff schemes, challenges and issues for industrial wireless sensor networks (CR-IWSN)

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