A Decision Scheme of Amount of Required Resources for Adaptive Resource Reuse in Wireless Multi-hop Systems 


Vol. 34,  No. 3, pp. 229-234, Mar.  2009


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  Abstract

In this paper, we propose a decision scheme of amount of required resources in wireless multi-hop systems which can reuse radio resources adaptively among relay stations (RSs). Base stations (BSs) can allocate resources dynamically based on amount of required resources of each RS. Moreover using resource reuse with this allocation method can increase amount of available resources in multi-hop systems. Generally, BSs allocate same amount of resources for RSs which share and reuses same resources for each other. Since amount of required resources are different among these RSs, a decision scheme of a specific value which can represent various required resources of RSs is needed. We propose this scheme which can decide the representative value of required resources of RSs adaptively based on the amount of required resources and the buffer state of each RS. Our simulation results show that the proposed scheme can increase performance of a multi-hop system. System capacity with the proposed adaptive scheme is increased by twice as large as one with a fixed representation value.

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  Cite this article

[IEEE Style]

B. Bae, B. Shin, D. Hong, "A Decision Scheme of Amount of Required Resources for Adaptive Resource Reuse in Wireless Multi-hop Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 3, pp. 229-234, 2009. DOI: .

[ACM Style]

Byung-joo Bae, Bong-jhin Shin, and Daehyoung Hong. 2009. A Decision Scheme of Amount of Required Resources for Adaptive Resource Reuse in Wireless Multi-hop Systems. The Journal of Korean Institute of Communications and Information Sciences, 34, 3, (2009), 229-234. DOI: .

[KICS Style]

Byung-joo Bae, Bong-jhin Shin, Daehyoung Hong, "A Decision Scheme of Amount of Required Resources for Adaptive Resource Reuse in Wireless Multi-hop Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 3, pp. 229-234, 3. 2009.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880