Joint power and rate adaptation in a cognitive radio network: The rate-distance approach

David Shiung, Chun Shen Tsai, Jeng Ji Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper, we study the joint power and rate adaptation in a cognitive radio network (CRN) using the rate-distance nature as the central criterion. The rate-distance nature describes the relationship between transmission rate and signal strength and can further enhance the spectrum efficiency. A general channel model considering composite effects such as distance-dependent pathloss, large-scale shadowing, and small-scale fading is considered. Through emitting a pseudo-carrier, the cognitive radio (CR) transmit-receive (T-R) pair determines the maximal allowable transmission power and thus transmission rate for maximizing the sum-rate of the CRN with guaranteed bit error rate (BER) and outage probability of signal-to-interference ratio (SIR). The proposed algorithm is suitable for real-time adaptation and a maximal sum-rate of the CRN is achieved.

Original languageEnglish
Title of host publication2011 IEEE Vehicular Technology Conference Fall, VTC Fall 2011 - Proceedings
DOIs
Publication statusPublished - 2011 Dec 23
EventIEEE 74th Vehicular Technology Conference, VTC Fall 2011 - San Francisco, CA, United States
Duration: 2011 Sep 52011 Sep 8

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Other

OtherIEEE 74th Vehicular Technology Conference, VTC Fall 2011
CountryUnited States
CitySan Francisco, CA
Period11-09-0511-09-08

Fingerprint

Rate Adaptation
Cognitive Radio Networks
Cognitive radio
Path Loss
Shadowing
Channel Model
Outage Probability
Cognitive Radio
Fading
Error Rate
Interference
Power transmission
Composite
Outages
Bit error rate
Real-time
Dependent
Composite materials

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

Shiung, D., Tsai, C. S., & Huang, J. J. (2011). Joint power and rate adaptation in a cognitive radio network: The rate-distance approach. In 2011 IEEE Vehicular Technology Conference Fall, VTC Fall 2011 - Proceedings [6093003] (IEEE Vehicular Technology Conference). https://doi.org/10.1109/VETECF.2011.6093003
Shiung, David ; Tsai, Chun Shen ; Huang, Jeng Ji. / Joint power and rate adaptation in a cognitive radio network : The rate-distance approach. 2011 IEEE Vehicular Technology Conference Fall, VTC Fall 2011 - Proceedings. 2011. (IEEE Vehicular Technology Conference).
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Shiung, D, Tsai, CS & Huang, JJ 2011, Joint power and rate adaptation in a cognitive radio network: The rate-distance approach. in 2011 IEEE Vehicular Technology Conference Fall, VTC Fall 2011 - Proceedings., 6093003, IEEE Vehicular Technology Conference, IEEE 74th Vehicular Technology Conference, VTC Fall 2011, San Francisco, CA, United States, 11-09-05. https://doi.org/10.1109/VETECF.2011.6093003

Joint power and rate adaptation in a cognitive radio network : The rate-distance approach. / Shiung, David; Tsai, Chun Shen; Huang, Jeng Ji.

2011 IEEE Vehicular Technology Conference Fall, VTC Fall 2011 - Proceedings. 2011. 6093003 (IEEE Vehicular Technology Conference).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Shiung D, Tsai CS, Huang JJ. Joint power and rate adaptation in a cognitive radio network: The rate-distance approach. In 2011 IEEE Vehicular Technology Conference Fall, VTC Fall 2011 - Proceedings. 2011. 6093003. (IEEE Vehicular Technology Conference). https://doi.org/10.1109/VETECF.2011.6093003