A Priority-Based Reservation MAC Protocol in Multi-Channel Cognitive Radio Networks

Lee, Jaehwoon

doi:10.1109/access.2018.2873607

Cited by 9 publications

(13 citation statements)

References 11 publications

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“…Further, they analyze the fairness of proposed scheme using Jain's fairness index. Lee proposed a priority‐based reservation MAC scheme for mutichannel CRN where to know the priority of SUs for accessing the channel, control packets are transmitted using a common control channel. Shi et al and Li et al considered the problem of providing k channel connectivity for SU communication in case PUs reclaims multiple channels simultaneously.…”

Section: Channel Assignment In Literaturementioning

confidence: 99%

Cross‐layer perspective for channel assignment in cognitive radio networks: A survey

Gupta

Dhurandher

2019

Int J Communication

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Summary With the advent of various emerging wireless products, the usage of limited spectrum has grown exponentially in the recent years. In the next few years, that mobile data traffic globally is expected to grow up to 50 EB/month, which is nearly a five times increase over year 2018. Therefore, it will become extremely difficult to satisfy the ever increasing demand through the current fixed spectrum assignment policy in which spectrum band is exclusively used for the particular applications, and it has also led to underutilization of a significant portion of the spectrum (like TV bands). Cognitive radio networks has emerged as a possible solution for the problem which makes dynamic spectrum access possible for unlicensed user when licensed user is not active. Among various operations of cognitive radio, channel assignment to the unlicensed user is very important. Further, wireless regional area network is one of the most important application of cognitive radio, which provides wireless broadband to the rural area using vacant TV channels. This paper discusses channel assignment techniques considering various functionalities for cognitive radio networks in respect of wireless regional area network in the existing literature. Initially, a comprehensive introduction to both cognitive radio networks and wireless regional area networks is provided, and in the end, the paper summarizes the various issues and research challenges in the channel assignment for wireless regional area networks.

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Section: Channel Assignment In Literaturementioning

confidence: 99%

Cross‐layer perspective for channel assignment in cognitive radio networks: A survey

Gupta

Dhurandher

2019

Int J Communication

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“…A number of MAC protocols in distributed CRN are proposed for wireless spectrum divided into a number of slotted non-overlapping channels [7][8][9][10][11]. In [7], a protocol is proposed for SUs to share the spectrum opportunistically in multi-channel distributed CRN.…”

Section: Introductionmentioning

confidence: 99%

“…In [9][10], if an SU transmits its control packet with no collision but there is no idle primary channel, the SU should re-transmit its control packet during the next slot, but when control packet collision occurs, it cannot transmit its data packet even though there are idle primary channels. In [11], a MAC protocol is proposed that determines the order of access based on the position of the non-colliding control packets in a slotted multi-channel distributed CRN. That is, SUs with the first, second and third order can transmit their data packets through the first, second and third idle primary channels, respectively.…”

Section: Introductionmentioning

confidence: 99%

“…Here, when SUs transmits primary channel information to Cognitive Radio Base Station (Co-BS), Co-BS allocates one channel as a common control channel and assigns one idle primary channel to an SU. The protocols proposed in [7][8][9][10][11][12] assume that data packets transmitted by SUs have a single priority. However, for example, if SUs try to transmit both (relatively) time-sensitive traffic and non-time-sensitive traffic, then it is necessary for a protocol to transmit data packets having traffic with higher priority first ahead of those having traffic with lower priority.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we propose a reservation based MAC protocol in order to transmit data packets having traffic with multiple classes of priorities in a slotted multi-channel distributed CRN by extending the protocol proposed in [11]. Here, one channel called control channel is used for contention resolution between SUs.…”

Section: Introductionmentioning

confidence: 99%

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An Efficient Reservation-Based MAC Protocol for Multi-Priority Traffic in Slotted Multi-Channel Distributed Cognitive Radio Networks

Lee

2020

IEEE Access

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Cognitive radio network (CRN) is developed to improve the scarce but under-utilized wireless spectrum due to rapidly developing wireless networks. This paper proposes a reservation-based MAC protocol for traffic having multiple classes of priorities in CRN. One channel called control channel is used for contention resolution between secondary users (SUs). In this protocol, an SU having data packets with different class of priorities transmits its control packet containing the priority value through the control channel. The order of access to primary channels is determined based on the priority of the data packet and the position of the non-colliding control packet. The access order determines the idle primary channel that an SU uses to transmit its data packet. In this protocol, there is no performance degradation either from SUs choosing a busy primary channel or multiple SUs choosing the same idle primary channel. Moreover, even though the SU cannot transmit its data packet because there is no idle primary channel that the SU can utilize, it can re-transmit its control packet without having concern over additional collision. Multistate Markov chain is used to analyze the throughput and performance of the proposed protocol and the analytical results show that higher priority traffic can be transmitted first ahead of the lower priority traffic. Notwithstanding the above, the maximum sum of the throughput of SUs with different classes of priorities is almost equal to the available capacity, and therefore the proposed protocol can take advantage of almost all of the available portion of primary channels. INDEX TERMS Reservation MAC, multi-priority traffic, cognitive radio networks, multi-channel MAC protocol, common control channel

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A golden eagle optimized hybrid multilayer perceptron convolutional neural network architecture‐based three‐stage mechanism for multiuser cognitive radio network

Justus

Anuradha

2021

Int J Communication

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Summary Cognitive radio (CR) was developed to solve the issue of spectrum scarcity because CR users are unlicensed and can use the underutilized licensed spectrum without interfering with licensed users. During handoff, however, this CR creates a target channel sequence (TCS) to transfer the channel to the multiusers. It must also deal with issues such as equally assigning TCS to different secondary users (SUs), channel access collisions, and channel obsolesces during TCS development. TCS is issued to SUs in the same and different primary user (PU) areas. In this paper, the hybrid multilayer perceptron (MLP)–convolutional neural network (CNN) (MLP‐CNN) technique is specifically proposed to provide services to the SU even under proactive TCS constraints, as well as to address the aforementioned challenges. The MLP can increase cell quality by resolving the transmission time gap problem that occurs during the proactive stage. The MLP determines the characteristics of each SU in a specific area with high reliability for channel allocation, while the CNN allocates the channel based on the characteristics of the entire SU present in a specific area. This hybrid MLP‐CNN approach, on the other hand, is unable to achieve the optimal degree of optimized TCS generation accuracy due to the need for parameter fine‐tuning, which is accomplished using the golden eagle optimization technique. Different parameters, such as single‐user scenario, multiuser scenario, multichannel scenario, and network access overhead, are used to measure the performance of the proposed model. The handoff delay, average interval per target channel, and the overhead that occurs during the transmission of data by our proposed method are 0.56%, 0.17%–0.03%, and 50%–10% respectively. Thus, our proposed method outperformance all the existing approaches.

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A Priority-Based Reservation MAC Protocol in Multi-Channel Cognitive Radio Networks

Cited by 9 publications

References 11 publications

Cross‐layer perspective for channel assignment in cognitive radio networks: A survey

Cross‐layer perspective for channel assignment in cognitive radio networks: A survey

An Efficient Reservation-Based MAC Protocol for Multi-Priority Traffic in Slotted Multi-Channel Distributed Cognitive Radio Networks

A golden eagle optimized hybrid multilayer perceptron convolutional neural network architecture‐based three‐stage mechanism for multiuser cognitive radio network

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