
Distributed antenna system (DAS) can improve the spectral efficiency of the cellular system, especially at the cell edge. In the paper, we consider the cognitive radio technique to further improve the cell edge performance of the DAS. We consider the following scenario: multiple secondary users (SUs) share the same spectrum with the primary user (PU) at the cell edge, and one or two SUs are selected to forward signals for the PU. First, we study the transmit scheme using MRT, and the downlink capacity of the PU is analyzed. Then, we generalize the idea of dynamic relay selection by allowing one or two SUs to cooperate. The dynamic selection scheme can be realized based on the optimal signal noise ratio (SNR). Simulation results show that dynamic selection of one relay can achieve better performance than the static selection of one, and dynamically selecting one SU outperforms the dynamic selection of two because of the increasing of the resource consumption along with the number of relay nodes. With different choices of the channel state information (CSI), the large-scale fading achieves a better tradeoff between the performance gain and processing complexity. The effect of different selection threshold on the average capacity is also given.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
