Radio resource reservation for heterogeneous traffic in cellular networks with spectrum leasing

Tzeng, Show-Shiow; Lin, Ying-Jen; Hsu, Yi‐Cheng

doi:10.1186/1687-1499-2012-206

Cited by 2 publications

(3 citation statements)

References 12 publications

(14 reference statements)

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“…Markov chain model has been widely used for modeling lower and upper layer problems in wireless networks [22][23][24]. For the MAC layer problem, users' access modeling in uncoordinated DSA have also received so much attention recently [25][26][27][28][29][30]. In particular, Xing et al [25] analyzed the manipulation of wideband and narrowband users in open spectrum bands and used a Markov chain model to predict the user behaviors.…”

Section: Uncoordinated Sharing Modelmentioning

confidence: 99%

“…Wong et al [28] studied the delay performance of SUs in CR-based DSA systems with a finite user population. In [29], a three-dimensional Markov chain model was used to model the access of real-time and non-real-time users and find optimal reservation channels. Ngatched et al [30] more recently studied the primary channel assembling schemes and explored the impacts of imperfect sensing using a Markov model.…”

Section: Uncoordinated Sharing Modelmentioning

confidence: 99%

“…Furthermore, with an increase of A , the optimal value of Q fa decreases. This is because the GoS constraint of PU B becomes the dominate factor in Equation (29), that is, the network that first violates its prescribed GoS constraint. Hence, in this case, an increasing Q fa is needed to guarantee the GoS constraint of PU B .…”

Section: Performance Of Cross-layer Optimization Schemementioning

confidence: 99%

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Cross-layer design of partial spectrum sharing for two licensed networks using cognitive radios

Jiang

Wong

Zhang

et al. 2013

Wirel. Commun. Mob. Comput.

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To utilize spectrum resources more efficiently, dynamic spectrum access attempts to allocate the spectrum to users in an intelligent manner. Uncoordinated sharing with cognitive radio (CR) users is a promising approach for dynamic spectrum access. In the uncoordinated sharing model, CR is an enabling technology that allows the unlicensed or secondary users to opportunistically access the licensed spectrum bands (belonging to the so-called primary users), without any modifications or updates for the licensed systems. However, because of the limited resources for making spectrum observations, spectrum sensing for CR is bound to have errors and will degrade the grade-of-service performance of both primary and secondary users. In this paper, we first propose a new partial spectrum sharing policy, which achieves efficient spectrum sharing between two licensed networks. Then, a Markov chain model is devised to analyze the proposed policy considering the effects of sensing errors. We also construct a cross-layer design framework, in which the parameters of spectrum sharing policy at the multiple-access control layer and the spectrum sensing parameters at the physical layer are simultaneously coordinated to maximize the overall throughput of the networks, while satisfying the grade-of-service constraints of the users. Numerical results show that the proposed spectrum sharing policy and the cross-layer design strategy achieve a much higher overall throughput for the two networks.

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