• 한국통신학회논문지
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• 제37권2B호
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• pp.87-96
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• 2012

본 논문에서는 2-홉 릴레이 시스템에서 릴레이 노드와 목적지 노드가 모두 임의의 수를 갖는 간섭원들의 영향을 받는 상황을 고려한다. 특히 릴레이 채널과 액세스 채널, 그리고 간섭 채널들이 모두 레일리 페이딩을 겪는다고 가정할 때, 증폭-후-전달(amplify-and-forward: AF) 릴레이 시스템의 불능 확률에 대한 정확한 수식을 도출하고, 나아가 불능 확률의 상한 식(upper bound)과 하한 식(lower bound)을 도출한다. 또한 도출된 불능 확률의 상한 식과 하한 식을 이용하여 AF 릴레이 시스템의 비트 오류율 성능에 대한 상한 식과 하한 식을 도출한다. 그리고 도출된 AF 릴레이 시스템의 불능 확률과 비트 오류율 성능에 대한 상한 식과 하한 식의 정확도를 모의실험을 통해 확인한다.

• 한국멀티미디어학회논문지
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• 제18권2호
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• pp.168-177
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• 2015

To increase the overall utility and decrease the link delay and power consumption, a joint optimal cross-layer design of congestion control at the transport layer, link delay at the data link layer and power allocation at the physical layer for mobile ad hoc networks is considered in this paper. As opposed to previous work, the rate outage probability in this work is based on exactly closed-form; therefore, the proposed method can guarantee the globally optimal solutions to the underlying problem. The non-convex formulated problem is transformed into a convex one, which is solved by exploiting the duality technique. Finally, simulation results verify that our proposal achieves considerable benefits over the existing method.

• 한국멀티미디어학회논문지
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• 제19권8호
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• pp.1404-1414
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• 2016

Cross-layer design is a concept, which captures the dependencies and interactions and enables information sharing among layers in order to improve the network performance and security. There are two key challenges in wireless networks, lossy features of links and power assumption of network nodes. Cross-layer design of congestion control and power allocation in wireless lossy networks has been studied in the existing literature; however, there has been no contribution proposed in the literature that exploits the path diversity. In this paper, we are motivated to develop a cross-layer design of congestion control and power allocation, which takes into account lossy features of wireless links and transmission powers of network nodes and can be implemented in a distributed manner. Numerical simulation is conducted to illustrate the performance of our proposed algorithm and the comparison with current alternative approaches.