基于距离相关的信道分配算法

为最大化认知Ad Hoc网络并行传输的信道数目,提出一种新的信道分配算法.由于认知Ad Hoc网络中信道的衰落特性不同,该算法首先估算节点间距离,根据估算到的距离选择合适的信道进行数据传输,节点以干扰距离与传输距离的关系为依据更新信道的使用状态,从而提高信道的空间复用;另外,在公共信道上只进行广播和信道预定信息的传输,有效地避免了控制信道瓶颈问题.实验结果表明,该信道分配算法能够有效增加信道的空间复用,提高网络的吞吐量.相同的策略下,当负载较高时,该算法的吞吐量比DDMAC算法提高12%左右.

Distance-based channel assignment algorithm

In order to maximize the number of parallel transmission channels in a cognitive Ad Hoc network,a new channel assignment algorithm is proposed.As fading characteristics between channels are different,distances between nodes are estimated at first in this algorithm.According to the distance which had been estimated,a suitable channel was selected to exchange data.Channel statuses are updated based on the relations between interference distance and transmission distance,in order to increase the spatial reuse.Meanwhile,only broadcast and channel reservation information are permitted to be transmitted in common control channels to avoid the bottleneck effect of channel controlling.The simulation results indicate that the proposed channel assignment algorithm can increase spatial reuse of the channels and network throughput.Throughput of the algorithm can be increased by 12% than DDMAC method when the load is high at the same strategy.