Distributed power adjustment based on control theory for cognitive radio networks

Matsui, Genki; Tachibana, Takuji; Nakamura, Yukinori; Sugimoto, Kenji

doi:10.1016/j.comnet.2013.07.022

Cited by 17 publications

(7 citation statements)

References 26 publications

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“…Various attempts have been made to design MAC protocols for CRNs that are based on the interference-channel model. [18][19][20][21][22][23][25][26][27][28] These power-control protocols require coordination with PUs, which is not realistic as most of the PU receivers are passive that cannot cooperate with SUs. The work of Yang et al 18 investigated the organized cooperation between SUs and the use of Stackelberg game, where the PUs are leaders and SUs are followers.…”

Section: Related Workmentioning

confidence: 99%

“…This will place a limit on the number of admitted SU transmissions, which negatively impacts spectrum utilization. On the other hand, MAC protocols that developed based on the physical model [16][17][18][19][20][21] allow multiple concurrent SU transmissions over the same channel within its neighborhood. This improves spectrum utilization and significantly enhances the network performance.…”

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confidence: 99%

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Spectrum management with simultaneous power‐controlled assignment decisions in cognitive radio networks

Musa

Sannad

Halloush

et al. 2019

Concurrency and Computation

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Spectrum sharing protocols for cognitive radio networks (CRNs) are often designed based on an exclusive channel occupancy policy. This policy does not allow concurrent cognitive radio (CR) transmissions to take place over the same channel. Unfortunately, this can significantly affect spectrum utilization and network performance. Allowing several secondary users to simultaneously share the same channel naturally improves spectrum utilization and avoids unnecessary blocking of CR transmissions. The key challenge in enabling efficient operation of multichannel CRNs is how to perform efficient power-controlled media-access-control (MAC) protocols. These protocols include both power control and channel assignment. In this paper, we propose a power-controlled MAC protocol for CRNs based on interference-channel occupancy model with the objective of maximizing the number of served CR transmissions. It uses a novel power-controlled channel assignment mechanism that allows several concurrent interference-limited transmissions to simultaneously proceed over each idle channel in the same neighborhood. We present two variants of the power-controlled channel assignment mechanism. The first proposed variant is suitable for CRNs with fixed data packet size, whereas the other is suitable for dynamic CRNs with variable packet size. The second variant of our protocol employs a users' scheduling procedure that attempts to fully utilize the available time-frequency blocks. Simulation results indicate that employing transmission power control along with appropriate channel assignment and users' scheduling in CRNs can significantly improve the spectrum utilization and the overall network performance.

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Section: Related Workmentioning

confidence: 99%

mentioning

confidence: 99%

Spectrum management with simultaneous power‐controlled assignment decisions in cognitive radio networks

Musa

Sannad

Halloush

et al. 2019

Concurrency and Computation

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“…The ongoing secondary user may leave its current channel either due to service completion or due to the presence of a primary call on the channel. Recent research on CR networks has been done using signal detection and estimation techniques [2,3], probability and queuing theoretic techniques [4,5], game theoretic methods [6,7], data fusion methods [8], and other methods [9] as tools for investigating spectrum detection, spectrum selection and spectrum sharing aspects.…”

Section: Introductionmentioning

confidence: 99%

“…In [8], a centralized soft-combining data fusion algorithm based on the joint probability distribution of fourth order cumulants was presented for cooperative modulation classification in CR networks. In [9], two power adjustment methods (PID control and model predictive control) were proposed based on control theory to decide transmitter transmission power for CR networks.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of a Delay-Tolerable Cognitive Radio Network

Tang¹,

Tang²

2017

Proceedings of the 2017 International Conference on Electronic Industry and Automation (EIA 2017)

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Abstract-In this paper, we analyze the performance of a delay-tolerable cognitive radio network at the call level, where secondary users detect and opportunistically access the channel resources when no primary users present. An ongoing secondary user using a channel may switch to another channel with some routing probability (due to the presence of a primary call) or leaves the channel (due to service completion) with some other probability. If the target channel is being used at that time, the secondary call will be placed in the queue of the channel. The queued secondary calls will reconnect back to the system when the channel becomes available. We develop a queueing network model for the system and solve the equilibrium system states by the generating function technique. Numerical results are presented to show the impact of system parameters on the performance metrics.

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“…Proponents of this view widely accept that communications mode selection and resource allocation decisions made by dynamic radio resource allocation controllers at system controllers (also known as traffic hubs or base stations) characterize the quality of most operations in wireless communications. In this regard, power control has been a powerful mobilizing instrument, with which for instance, to enable power emission coordination and interference protection [1] and [2] as well as secondary-user spectrum access gain maximization [3] and [4].…”

Section: Introductionmentioning

confidence: 99%

Minimal-cost-variance power control for differentiated service satellite communications

Pham

2016

2016 IEEE Aerospace Conference

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It is the aim of this paper to focus on some advanced ideas of power adjustments for differentiated services in satellite communications. Dynamic resource allocation explicitly considers the tradeoff between the cost of transmit powers and the error of signal-to-interference-plus-noise ratios. Achieving maximal system capacity and design for reliability are intertwined and mutually reinforcing goals as being incorporated into the framework of minimal-cost-variance control theory. Closely related to the continuing quest for an effective procedure of availability for satellite communications is a reliable estimation process of terminal reports in presence of interferences and deteriorated link conditions with the hope that these findings would enable future capability concepts of resilient affordable satellite system controllers and ground terminals to achieve assured satellite communications.

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Distributed power adjustment based on control theory for cognitive radio networks

Cited by 17 publications

References 26 publications

Spectrum management with simultaneous power‐controlled assignment decisions in cognitive radio networks

Spectrum management with simultaneous power‐controlled assignment decisions in cognitive radio networks

Performance Analysis of a Delay-Tolerable Cognitive Radio Network

Minimal-cost-variance power control for differentiated service satellite communications

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