Distributed Relay Selection and Power Control for Multiuser Cooperative Communication Networks Using Buyer/Seller Game

Distributed Relay Selection and Power Control for Multiuser Cooperative Communication Networks Using Buyer/Seller Game
复制标题

DOI:
10.1109/infcom.2007.70
复制
发表时间:
2007-05
期刊:
IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications
影响因子:
--
通讯作者:
Beibei Wang;Zhu Han;K. Liu
Beibei Wang;Zhu Han;K. Liu
中科院分区:
其他
文献类型:
--
作者:
Beibei Wang;Zhu Han;K. Liu

文献摘要

被引文献

相似文献

协作通信的性能取决于仔细的资源分配,例如中继选择和功率控制,但传统的集中式资源分配需要相当大的开销和信令来交换信道估计的信息。在本文中,我们提出了一种多用户协作通信网络上的分布式买方/卖方博弈论框架,以刺激合作并提高系统性能。通过采用两级博弈来共同考虑源节点作为买家和中继节点作为卖家的利益,所提出的方法不仅可以帮助源节点巧妙地找到相对更好位置的中继并从中购买最佳电量,而且还可以帮助竞争中继通过询问合理的价格来最大化自己的效用。证明该博弈收敛于唯一的最优均衡。从仿真结果来看,位置好的继电器在提高源节点效用方面可以发挥更重要的作用,因此源节点愿意从这些首选继电器购买更多的电力。另一方面,由于来自其他中继的竞争和来自源头的选择,中继必须设定适当的价格来吸引源头的购买。而且,分布式游戏资源分配可以达到与集中式游戏资源分配相当的性能。
The performances in cooperative communications depend on careful resource allocation such as relay selection and power control, but traditional centralized resource allocation needs considerable overhead and signaling to exchange the information for channel estimations. In this paper, we propose a distributed buyer/seller game theoretic framework over multiuser cooperative communication networks to stimulate cooperation and improve the system performance. By employing a two-level game to jointly consider the benefits of source nodes as buyers and relay nodes as sellers, the proposed approach not only helps the source smartly find the relays at relatively better locations and buy optimal amount of power from them, but also helps the competing relays maximize their own utilities by asking the reasonable prices. The game is proved to converge to a unique optimal equilibrium. From the simulation results, the relays in good locations can play more important roles in increasing source node's utility, so the source would like to buy more power from these preferred relays. On the other hand, the relays have to set the proper prices to attract the source's buying because of competition from other relays and selections from the source. Moreover, the distributed game resource allocation can achieve comparable performance compared with the centralized one.