Throughput-Delay Trade-Off for Cognitive Radio Networks: A Convex Optimization Perspective

Joint Authors

Hu, Hang
Zhang, Hang
Yu, Hong

Source

Abstract and Applied Analysis

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-04-07

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Mathematics

Abstract EN

The throughput-delay trade-off problem for cooperative spectrum sensing (CSS) is investigated.

It is proved that the maximum achievable throughput and the minimum transmission delay cannot be obtained simultaneously.

An efficient algorithm is proposed to optimize the sensing bandwidth and the final decision threshold jointly such that the throughput is maximized while the delay is constrained.

It is demonstrated that convex optimization plays an essential role in solving the problem in an efficient way.

Simulation results show that the proposed optimal scheme can significantly improve the throughput of the secondary users (SUs) under the constraint that the delay Quality of Service (QoS) requirements of the SUs are satisfied.

American Psychological Association (APA)

Hu, Hang& Zhang, Hang& Yu, Hong. 2014. Throughput-Delay Trade-Off for Cognitive Radio Networks: A Convex Optimization Perspective. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1013923

Modern Language Association (MLA)

Hu, Hang…[et al.]. Throughput-Delay Trade-Off for Cognitive Radio Networks: A Convex Optimization Perspective. Abstract and Applied Analysis No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1013923

American Medical Association (AMA)

Hu, Hang& Zhang, Hang& Yu, Hong. Throughput-Delay Trade-Off for Cognitive Radio Networks: A Convex Optimization Perspective. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1013923

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1013923