2013•Unpublished venueRequires access

Deterministic approach to rendezvous channel setup in cognitive radio networks

H. B. Weldu, Bosung Kim, Byeong‐hee Roh

Open publisher page 2 citations

Abstract

Cognitive radio (CR) technology is envisioned to solve the scarcity and inefficient use of wireless spectrum by dynamically and opportunistically accessing the available spectrum without causing a significant interference to the primary users (PU). In this paper, we propose a solution to the problem on how cognitive radios can initially find each other under the dynamically changing available spectrum. The easiest and common practice to tackle this problem is to dedicate a control channel on which the nodes can rendezvous with each other. However, a dedicated common control channel has severe drawbacks and is not good choice for CR networks. In this paper, we propose Deterministic Approach to Rendezvous Channel Setup (DARC) scheme in which one of the free channels is chosen as a rendezvous channel by a central entity. Simulation results show that our proposed scheme has significantly lower time to rendezvous and gives better protection to the PU than previously proposed schemes.

About this research paper

What this paper is about

Cognitive radio (CR) technology is envisioned to solve the scarcity and inefficient use of wireless spectrum by dynamically and opportunistically accessing the available spectrum without causing a significant interference to the primary users (PU). In this paper, we propose a solution to the problem on how cognitive radios can initially find each other under the dynamically changing available spectrum. The easiest and common practice to tackle this problem is to dedicate a control channel on which the nodes can rendezvous with each other. However, a dedicated common control channel has severe drawbacks and is not good choice for CR networks. In this paper, we propose Deterministic Approach to Rendezvous Channel Setup (DARC) scheme in which one of the free channels is chosen as a rendezvous channel by a central entity. Simulation results show that our proposed scheme has significantly lower time to rendezvous and gives better protection to the PU than previously proposed schemes.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Cognitive radio (CR) technology is envisioned to solve the scarcity and inefficient use of wireless spectrum by dynamically and opportunistically accessing the available spectrum without causing a significant interference to the primary users (PU). In this paper, we propose a solution to the problem on how cognitive radios can initially find each other under the dynamically changing available spectrum. The easiest and common practice to tackle this problem is to dedicate a control channel on which the nodes can rendezvous with each other. However, a dedicated common control channel has severe drawbacks and is not good choice for CR networks. In this paper, we propose Deterministic Approach to Rendezvous Channel Setup (DARC) scheme in which one of the free channels is chosen as a rendezvous channel by a central entity. Simulation results show that our proposed scheme has significantly lower time to rendezvous and gives better protection to the PU than previously proposed schemes.

Key concepts: Rendezvous, Cognitive radio, Control channel, Computer science, Spectrum management, Channel (broadcasting), Computer network, Interference (communication)

Related papers

Back to paper searchBrowse research topicsOriginal source
Deterministic approach to rendezvous channel setup in cognitive radio networks — Research Paper | ScholarLens