Multiuser Scheduling in Centralized Cognitive Radio Networks: A Multi-Armed Bandit Approach

Alipour-Fanid, Amir; Dabaghchian, Monireh; Arora, Raman; Zeng, Kai

doi:10.1109/tccn.2022.3149113

Cited by 14 publications

(6 citation statements)

References 48 publications

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“…Each row of Z * corresponds to an efficient solution for a particular power level and contains the objective function value corresponding to the preferred solution selected in step 4 for that power level. Calculate the membership degree function matrix μF k i using ( 14) for the Z * matrix and μ k using (15). The solution with the largest value of μ k represents the most preferred solution, denoted by x * .…”

Section: Technique Complexitymentioning

confidence: 99%

“…As far as the second issue is concerned, it is largely an open research question and a challenging problem as it involves multiple users and multichannel CRNs. 15 Therefore, in this work, our objective is to find an optimal channel assignment (CA) strategy that can efficiently utilize the radio resources provided that the SUs can sense the holes in the spectrum. By answering this question, we intend to address the issues faced by current and future IoT applications.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, several works have addressed the first issue of whether spectrum sensing is utilized in a cooperative or noncooperative manner. As far as the second issue is concerned, it is largely an open research question and a challenging problem as it involves multiple users and multichannel CRNs 15 . Therefore, in this work, our objective is to find an optimal channel assignment (CA) strategy that can efficiently utilize the radio resources provided that the SUs can sense the holes in the spectrum.…”

Section: Introductionmentioning

confidence: 99%

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Multi‐objective spectrum assignment in heterogeneous cognitive radio networks for internet of things

Farooq,

Ul Hasan

2024

Int J Communication

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SummaryInternet of Things (IoT) applications have massively increased in the last few years. Future‐generation IoTs are going to be massive in number, heterogeneous in nature, and extremely demanding in terms of computation and communication requirements. Therefore, effective techniques are needed to optimize the use of scarce communication resources. This work proposes a novel multi‐objective framework to investigate the channel assignment problem in cognitive radio network (CRN)‐based IoT applications. The multi‐objective optimization framework comprises three objective functions. The first objective aims to maximize the overall system throughput fairness, the second objective aims to maximize the overall system residual energy, and the third objective aims to increase the user satisfaction level by maximizing the overall priority index. The problem of channel assignment is modeled and solved using Mixed Integer Linear Programming (MILP) and ‐constraint technique. This technique generates a set of Pareto efficient solutions, and an optimal solution among these solutions is selected using a fuzzy logic decision mechanism. Moreover, power level selection is incorporated by solving the problem multiple times for different power levels and obtaining a preferred solution for each power level. The simulations are conducted to unveil an interesting trade‐off between the conflicting system design objectives, that is, the overall throughput and the overall residual energy while incorporating the significance of primary user (PU) activity when preforming channel assignment in CRN.

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Section: Technique Complexitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multi‐objective spectrum assignment in heterogeneous cognitive radio networks for internet of things

Farooq,

Ul Hasan

2024

Int J Communication

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“…Above work most focused on collision avoidance between the SU and PU, while set access competition among the SU aside. To this end, multiuser OSA in CRN become a hot spot in recent years [20][21][22][23][24]. Given a centralized CRN in [20], a multi-armed bandit approach-based access/handoff scheduling algorithm was proposed for multiuser OSA.…”

Section: Introductionmentioning

confidence: 99%

“…To this end, multiuser OSA in CRN become a hot spot in recent years [20][21][22][23][24]. Given a centralized CRN in [20], a multi-armed bandit approach-based access/handoff scheduling algorithm was proposed for multiuser OSA. Introducing the non-orthogonal multiple access (NOMA) into a cognitive satellite-high altitude platform (HAP)-terrestrial network in [21], a subchannel and power joint allocation algorithm for SU was proposed to maximize the sum rate of the network.…”

Section: Introductionmentioning

confidence: 99%

On multiple handoff blocking‐then‐reaccess for opportunistic spectrum access

Zhang,

Liang,

Gao

et al. 2024

IET Communications

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Opportunistic spectrum access (OSA), a promising technology to resolve radio spectrum scarcity, is still faced with some challenges, of which one is potentially frequent channel handoff (CH) even handoff blocking (HB) for secondary user (SU) to avoid primary user (PU). Reaccess is a direct way to resolve HB. However, multiple handoff blocking‐then‐reaccess (H‐BTR) are time consuming. Whether it is worthwhile to make multiple H‐BTR, is an interesting but hardly mentioned issue. To this end, the multiple H‐BTR‐based OSA are focused on here. Three key indices, the average transmission probability, handoff delay, and average reaccess times of SU in the H‐BTR‐based OSA, are deduced as close form first. Then, the effects of H‐BTR frequency and service traffic rate of SU on OSA are discussed. Finally, the H‐BTR‐based OSA is compared to two other schemes, the handoff without BTR (HWBTR)‐based OSA and the stop‐and‐waiting (SW)‐based OSA. Theoretical and simulated results show that the H‐BTR‐based OSA performs best among three schemes. Making H‐BTR in moderate frequency according to service traffic rate can increase transmission opportunity while additional delay of SU is tolerable, thus the performance of OSA can be well improved.

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