Opportunistic spectrum sharing with multiple cochannel primary transmitters

Nasif,; Mark, Mark

doi:10.1109/ieee.2009.5336797

Cited by 15 publications

(7 citation statements)

References 27 publications

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“…Note that we do not consider the coexistence of both PUs' and SUs' transmitters in this work, which may arise in practical CR systems. For this case, interference probability is a useful metric and collaborative sensing scheme for the presence of multiple cochannel transmitters is necessary [30].…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

Resource Allocation for Heterogeneous Cognitive Radio Networks with Imperfect Spectrum Sensing

Wang

Zhou

et al. 2013

IEEE J. Select. Areas Commun.

108

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Abstract-In this paper we study the Resource Allocation (RA) in Orthogonal Frequency Division Multiplexing (OFDM)-based Cognitive Radio (CR) networks, under the consideration of many practical limitations such as imperfect spectrum sensing, limited transmission power, different traffic demands of secondary users, etc. The general RA optimization framework leads to a complex mixed integer programming task which is computationally intractable. We propose to address this hard task in two steps. For the first step, we perform subchannel allocation to satisfy heterogeneous users' rate requirements roughly and remove the intractable integer constraints of the optimization problem. For the second step, we perform power distribution among the OFDM subchannels. By exploiting the problem structure to speedup the Newton step, we propose a barrier-based method which is able to achieve the optimal power distribution with an almost linear complexity, significantly better than the complexity of standard techniques. Moreover, we propose a method which is able to approximate the optimal solution with a constant complexity. Numerical results validate that our proposal exploits the overall capacity of CR systems well subjected to different traffic demands of users and interference constraints with given power budget.

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Section: System Model and Problem Formulationmentioning

confidence: 99%

Resource Allocation for Heterogeneous Cognitive Radio Networks with Imperfect Spectrum Sensing

Wang

Zhou

et al. 2013

IEEE J. Select. Areas Commun.

108

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“…The main conclusion is that the secondary nodes have to transmit with very low power and should have high sensitivity. In [5], the authors propose a collaborative opportunistic access algorithm for scenarios with multiple primary transmitters. They assume that the positions of the primary base stations and their numbers are not known, but several sensing samples are considered to find the closest base station.…”

Section: Introductionmentioning

confidence: 99%

“…location and frequency allocation) that have not been used in other approaches to increase the efficiency of spectrum usage. In addition, cooperation is not imperative as in [5], although it can increase system performance.…”

Section: Introductionmentioning

confidence: 99%

Location-Based Adaptive Detection Threshold for Dynamic Spectrum Access

Nasreddine

Riihijärvi

Mähönen

2010

2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)

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In this paper, we propose a heuristic algorithm that exploits additional information, such as related to geo-location and frequency allocation, that can be in general known by a secondary network willing to opportunistically access the spectrum allocated to a primary network. The algorithm aims at finding the maximum allowed transmission power with which a secondary node can transmit while respecting primary constraints. It is designed to be used in the presence of multiple primary transmitters with known positions but without information about their activity patterns. The estimation of the allowed transmission power is done using a semi-analytical model characterizing interference probability. The latter is defined as the probability that the interference generated by the secondary node to any of the users in a primary cell exceeds a fixed threshold. The main idea is to autonomously determine a detection threshold based on the relative position of the secondary node towards base stations. Simulation results in a simple scenario are analyzed in order to explain the behavior of the algorithm. In addition, more results are introduced to evaluate the performance of the algorithm in more realistic scenarios.

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“…[3], [15]). A method for a secondary node to estimate its MIFTP is developed in [3] for the case of a single primary transmitter; the multiple transmitter case is addressed in [16].…”

Section: B Channel Modelingmentioning

confidence: 99%

“…end while 16: end for to SR k. The same algorithm is used for the second half of the transmission frame. The performance of the maximized SNR scheme is expected to outperform that of the simple randomized channel switching scheme in Section III.…”

mentioning

confidence: 99%

Exploiting Multichannel Diversity in Cognitive Radio Networks

Mark

2010

2010 Proceedings of 19th International Conference on Computer Communications and Networks

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Abstract-Cognitive radios hold tremendous promise for increasing spectral efficiency in wireless systems. In cognitive radio networks, secondary users equipped with frequency-agile cognitive radios communicate with one another via spectrum that is not being used by the primary, licensed users of the spectrum. We consider a multichannel cognitive radio network scenario in which a secondary transmitter can switch to different channels for opportunistic communications. Multichannel diversity can be achieved by dynamically switching to different channels during transmission. Our numerical results show that even a simple randomized channel switching scheme can significantly reduce the average symbol error probability. We also propose a scheduling algorithm based on maximizing signal-to-noise ratio to further improve the performance of cognitive transmission.

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Opportunistic spectrum sharing with multiple cochannel primary transmitters

Cited by 15 publications

References 27 publications

Resource Allocation for Heterogeneous Cognitive Radio Networks with Imperfect Spectrum Sensing

Resource Allocation for Heterogeneous Cognitive Radio Networks with Imperfect Spectrum Sensing

Location-Based Adaptive Detection Threshold for Dynamic Spectrum Access

Exploiting Multichannel Diversity in Cognitive Radio Networks

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