Joint optimization of transmission scheduling and relay assignment for cooperative communications

Peng Li, Song Guo, T. Miyazaki, Victor C. M. Leung
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引用次数: 1

Abstract

Cooperative communication (CC) has been proposed to increase the wireless channel capacity and reliability by employing multiple single-antenna nodes to form a virtual antenna array. Many efforts focus on exploiting the benefits of CC among multiple source-destination pairs with an unrealistic assumption that each of them communicates over a dedicated channel without interference. In this paper, we investigate the transmission scheduling problem for multiple source-destination pairs under the assistance of a set of dedicated relay nodes on a single channel. By applying the protocol interference model, we propose a concept of cooperative link to characterize the interference regions of CC. Due to the NP-completeness of optimal scheduling, LP (linear programming) based heuristic algorithms are proposed to maximize the minimum transmission rate under a given relay assignment. Then, without specifying a relay node for each source-destination pair, we study the max-min rate problem by jointly considering transmission scheduling and relay assignment. Heuristic algorithms are proposed to solve this more challenging problem. Finally, extensive simulations are conducted to show that the proposed algorithm outperforms direct transmission substantially.
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协同通信中传输调度与中继分配的联合优化
协作通信(CC)是一种利用多个单天线节点组成虚拟天线阵列来提高无线信道容量和可靠性的通信技术。许多工作的重点是在多个源-目的地对之间利用CC的好处,并不切实际地假设每个源-目的地对都通过专用信道进行通信而不受干扰。本文研究了单信道上一组专用中继节点辅助下的多源-目的对传输调度问题。利用协议干扰模型,提出了合作链路的概念来表征CC的干扰区域,并基于最优调度的np完备性,提出了基于LP(线性规划)的启发式算法,以在给定中继分配下最大化最小传输速率。然后,在不为每个源-目的对指定中继节点的情况下,综合考虑传输调度和中继分配,研究了最大最小速率问题。提出了启发式算法来解决这个更具挑战性的问题。最后,进行了大量的仿真,表明所提出的算法大大优于直接传输。
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