Primary and secondary nodes coexistence through opportunistic MIMO Cognitive Radio

Biagi, Mauro; Cuomo, Francesca

doi:10.1109/glocomw.2012.6477700

Cited by 6 publications

(3 citation statements)

References 13 publications

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“…The focus is to maximize the average service rate and minimizes the average delay of multi-class SUs. Authors in [23,24] proposed an opportunistic access scheme for a distributed CRN wherein concurrent coexistence of SUs along with primary network relies on capturing the power control messages of the primary network and then adjusting their transmission parameters in such a way that the signal to interference plus noise ratio (SINR) at the primary receiver remains above the threshold.…”

Section: Related Workmentioning

confidence: 99%

Analysis of Efficient Spectrum Handoff in a Multi-Class Hybrid Spectrum Access Cognitive Radio Network Using Markov Modelling

Shakeel

Hussain

Iqbal

et al. 2019

Sensors

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Cognitive radio networks (CRNs) rely on sensing of the licensed spectrum of a primary network to dynamically ascertain underutilized portion of the spectrum, thus affording additional communication opportunities. In a CRN, a single homogeneous spectrum access, such as interweave only deprives the secondary users (SUs) of channel access during handoff, particularly at high primary network traffic. Therefore, providing quality-of-service (QoS) to multi-class SUs with diverse delay requirements during handoff becomes a challenging task. In this paper, we have evolved a Markov-based analytical model to ascertain the gain in non-switching spectrum handoff scheme for multi-class SUs employing hybrid interweave-underlay spectrum access strategy. To satisfy the QoS requirements of the delay-sensitive traffic, we have analyzed the impact of hybrid spectrum access scheme for prioritized multi-class SUs traffic. The results show substantial improvement in spectrum utilization, average system throughput and extended data delivery time compared to conventional CRN using interweave only spectrum access. This demonstrates the suitability of the proposed scheme towards meeting QoS requirements of the delay-sensitive SU traffic while improving the overall performance for delay-tolerant SU traffic as well.

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Section: Related Workmentioning

confidence: 99%

Analysis of Efficient Spectrum Handoff in a Multi-Class Hybrid Spectrum Access Cognitive Radio Network Using Markov Modelling

Shakeel

Hussain

Iqbal

et al. 2019

Sensors

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“…Cognitive radio (CR) is a key technology that realizes the concept of dynamic spectrum access (DSA), in which secondary users (SUs) can access the underutilized portion of the spectrum of a primary network through sensing and channel access mechanisms [5,6]. Quick and accurate spectrum sensing is extremely important in a cognitive radio network (CRN) sensing phase to maximize the pool of resources available to SUs [7,8].…”

Section: Introductionmentioning

confidence: 99%

Spectrum Handoff based on Imperfect Channel State Prediction Probabilities with Collision Reduction in Cognitive Radio Ad Hoc Networks

Shakeel

Hussain

Iqbal

et al. 2019

Sensors

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The spectrum handoff is highly critical as well as challenging in a cognitive radio ad hoc network (CRAHN) due to lack of coordination among secondary users (SUs), which leads to collisions among the SUs and consequently affects the performance of the network in terms of spectrum utilization and throughput. The target channel selection mechanism as part of handoff process can play an enormously significant role in minimizing the collisions among the SUs and improving the performance of a cognitive radio network (CRN). In this paper, an enhanced target channel selection scheme based on imperfect channel state prediction is proposed for the spectrum handoff among the SUs in a CRAHN. The proposed scheme includes an improved frame structure that increases coordination among the SUs in the ad hoc environment and helps in organizing the SUs according to the shortest job first principle during channel access. Unlike the existing prediction-based spectrum handoff techniques, the proposed scheme takes into account the accuracy of channel state prediction; the SUs affected due to false prediction are compensated by allowing them to contend for channel access within the same transmission cycle and thus enabling them to achieve higher throughput. The proposed scheme has been compared with the contemporary spectrum handoff schemes and the results have demonstrated substantial improvement in throughput and extended data delivery time by virtue of the reduced number of collisions.

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“…However they always lead some interference to PUs. MIMO technique can be used to overcome the interference between PUs and SUs when both are equipped with multiple antennas [14]. To avoid interference in CRN, a multi-frequency RTS/CTS scheme has been proposed in [15].…”

Section: Introductionmentioning

confidence: 99%

MAC protocols for Cognitive Radio Networks with passive and Active primary users

Dappuri

Venkatesh

Thomas

2013

2013 International Conference on Wireless Communications and Signal Processing

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Cognitive Radio is a promising technology for solving spectrum scarcity problem. Design of medium access control (MAC) protocols for Cognitive Radio Networks (CRN) is challenging due to the complexity involved in sensing and accessing the channel. Assuming Primary Users (PUs) to be passive, protocols based on 802.11 MAC has been proposed in the literature. In this paper, we propose a Cognitive Radio MAC protocol for Active primary users (CRMA) and compare it with the existing Cognitive Radio MAC protocol for Passive primary users (CRMP). Unlike CRMP, in the CRMA protocol PUs are assumed to be active, in the sense that PUs are aware of the SUs. PUs signal their intention to transmit over the channel through beacons before transmitting. This minimal change in the functionality of the PUs not only improves the spectrum utilization of the SUs but also decreases the interference to PUs. The performance of both the protocols are compared in terms of throughput, delay, interference to PUs, number of RTS collisions and number of dropped packets of SUs through extensive simulation. We also investigate the effect of packet length, transmission opportunity (TXOP) duration and block acknowledgement. Simulation results show that our proposed CRMA protocol gives better performance as compared to CRMP under certain conditions. 978-1-4799-0308-5/13/$31.00

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Primary and secondary nodes coexistence through opportunistic MIMO Cognitive Radio

Cited by 6 publications

References 13 publications

Analysis of Efficient Spectrum Handoff in a Multi-Class Hybrid Spectrum Access Cognitive Radio Network Using Markov Modelling

Analysis of Efficient Spectrum Handoff in a Multi-Class Hybrid Spectrum Access Cognitive Radio Network Using Markov Modelling

Spectrum Handoff based on Imperfect Channel State Prediction Probabilities with Collision Reduction in Cognitive Radio Ad Hoc Networks

MAC protocols for Cognitive Radio Networks with passive and Active primary users

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