Distributed transmit power allocation for multihop cognitive-radio systems

Mietzner, Jan; Lampe, Lutz; Schober, Robert

doi:10.1109/twc.2009.081318

Cited by 94 publications

(39 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Also, it is shown that full diversity cannot be achieved under imperfect spectrum sensing [4]. Decentralized schemes for transmit power allocation for secondary relays have been proposed to minimize the overall transmit power or to maximize the received signal to noise-interference ratio (SINR) in [6]. In addition, the performance of cognitive relay networks in licensed and unlicensed bands is compared to that of conventional relay networks [7].…”

Section: Introductionmentioning

confidence: 99%

Outage Probability of Cognitive Relay Networks with Interference Constraints

Lee

Wang

Andrews

et al. 2011

IEEE Trans. Wireless Commun.

495

349

View full text Add to dashboard Cite

This paper evaluates the outage probability of cognitive relay networks with cooperation between secondary users based on the underlay approach, while adhering to the interference constraint on the primary user, i.e., the limited amount of interference which the primary user can tolerate. A relay selection criterion, suitable for cognitive relay networks, is provided, and using it, we derive the outage probability. It is shown that the outage probability of cognitive relay networks is higher than that of conventional relay networks due to the interference constraint, and we quantify the increase. In addition, the outage probability is affected by the distance ratio of the interference link (between the secondary transmitter and the primary receiver) to the relaying link (between the secondary transmitter and the secondary receiver). We also prove that cognitive relay networks achieve the same full selection diversity order as conventional relay networks, and that the decrease in outage probability achieved by increasing the selection diversity (the number of relays) is not less than that in conventional relay networks.Index Terms-Cognitive relay networks, outage probability, selection diversity.

show abstract

Section: Introductionmentioning

confidence: 99%

Outage Probability of Cognitive Relay Networks with Interference Constraints

Lee

Wang

Andrews

et al. 2011

IEEE Trans. Wireless Commun.

495

349

View full text Add to dashboard Cite

show abstract

“…In [96], transmit power allocation (TPA) schemes among relays have been studied, where overall transmit power is minimized under IPCs as well as the SINR requirement of the targeting SU receiver. A fully distributed TPA has been proposed and provides an almost optimal solution as centralized solution.…”

Section: Multi-hop Systemsmentioning

confidence: 99%

Ten years of research in spectrum sensing and sharing in cognitive radio

Zhou

Onunkwo

et al. 2012

J Wireless Com Network

216

117

View full text Add to dashboard Cite

Cognitive radio (CR) can successfully deal with the growing demand and scarcity of the wireless spectrum. To exploit limited spectrum efficiently, CR technology allows unlicensed users to access licensed spectrum bands. Since licensed users have priorities to use the bands, the unlicensed users need to continuously monitor the licensed users' activities to avoid interference and collisions. How to obtain reliable results of the licensed users' activities is the main task for spectrum sensing. Based on the sensing results, the unlicensed users should adapt their transmit powers and access strategies to protect the licensed communications. The requirement naturally presents challenges to the implementation of CR. In this article, we provide an overview of recent research achievements of including spectrum sensing, sharing techniques and the applications of CR systems.

show abstract

“…In particular, the transmission power of secondary node k must satisfy not only the interference constrains of the primary node, i.e., P k |h D,k | 2 ≤ I, where I defines the maximum tolerable interference level of the PU, but also the maximum transmission power, i.e., P k ≤ P m , given by P k = min I |hI,k| 2 , P m , where P m is the maximum transmission power. The instantaneous SNR of the source-to-destination link under interference constraint is given by [8], [10] …”

Section: System Modelmentioning

confidence: 99%

“…Considering the maximum allowable interference level at the PU, the performance of relay-assisted cognitive radio networks in terms of outage probability was provided in [7]. Taking into account the presence of a single or multiple active primary links, two distributed transmit power allocation schemes were proposed in [8] with an aim to optimize the performance of the cognitive radio systems. Very recently, the optimal power allocation schemes for secondary dual-hop networks under limited interference to PUs have been developed in [9] offering an improvement of the system throughput by over 50%.…”

Section: Introductionmentioning

confidence: 99%

Outage Analysis of Cognitive Multihop Networks under Interference Constraints

Bao

Duong

2012

IEICE Trans. Commun.

View full text Add to dashboard Cite

SUMMARYIn this letter, we consider a cognitive radio based multihop network under the spectrum sharing underlay paradigm. By taking into account the interference constraints, we present an exact closed-form expression for outage probability, which is valid for the whole signal-to-noise ratio regime. In addition, some numerical examples of interest that study the effect of the number of hops and/or the interferer threshold on primary users are illustrated and discussed. Numerical results show that multihop systems still offer a considerable gain as compared to direct transmission under the same limit of interference.

show abstract

Distributed transmit power allocation for multihop cognitive-radio systems

Cited by 94 publications

References 19 publications

Outage Probability of Cognitive Relay Networks with Interference Constraints

Outage Probability of Cognitive Relay Networks with Interference Constraints

Ten years of research in spectrum sensing and sharing in cognitive radio

Outage Analysis of Cognitive Multihop Networks under Interference Constraints

Contact Info

Product

Resources

About