Space-Power Adaptive Interference Steering
| Autor: | Liyuan Xiao, Ke Long, Xiaohong Li, Jia Liu, Yanan Tian, Jiamin Ding, Zhao Li |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
business.industry
Computer science Spectral efficiency Interference (wave propagation) Interference (communication) Transmission (telecommunications) Single antenna interference cancellation Cellular network Electronic engineering Wireless Overhead (computing) business Data transmission Communication channel |
| Zdroj: | NaNA |
| Popis: | With the rapid development of wireless communication technologies, interference has become a key impediment in the improvement of network capacity. In practice, although dense deployment of network can effectively increase the spectrum efficiency, more severe co-channel interference (CCI) is likely incurred, especially for the mobile users in the overlapping areas of multiple access points. Such users' spectral efficiency (SE) is seriously deteriorated due to the influence of interference. Interference steering (IS), emerging as a novel interference management (IM) scheme, can not only eliminate the impact of interference on the desired transmission, but also incur less power overhead than other IM methods. Some IS works conducted flexible design of IS via power domain adaptation. However, the spatial domain flexibility is not fully exploited. Moreover, existing IS works are mainly for the Z-interference channel (ZIC), while in practical use X-interference channel (XIC) is more common. To remedy the above deficiencies of IS design, this paper proposes a space-power adaptive interference steering (SPAIS) method in XIC. By adaptively adjusting the strength and spatial feature of the steering signal, SPAIS can not only effectively suppress interference imposed on the unintended receiver (Rx), but also make full use of the power of the steering signal in enhancing desired data transmission. Our in-depth simulation results show that compared to existing IM methods, SPAIS can significantly improve the users' SE performance. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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