首页> 外文期刊>IEEE Transactions on Cognitive Communications and Networking >Channel, Mode and Power Optimization for Non-Orthogonal D2D Communications: A Hybrid Approach
【24h】

Channel, Mode and Power Optimization for Non-Orthogonal D2D Communications: A Hybrid Approach

机译:非正交D2D通信的通道,模式和功率优化:混合方法

获取原文
获取原文并翻译 | 示例

摘要

The increasing traffic demand in cellular networks has recently led to the investigation of new strategies to save precious resources like spectrum and energy. Direct device-to-device (D2D) communication becomes a promising solution if the two terminals are located in close proximity. In this case, the D2D communications should coexist with cellular transmissions, so they must be carefully scheduled in order to avoid harmful interference impacts. In this paper, we outline a novel framework encompassing channel allocation, mode selection and power control for D2D communications. Power allocation is done in a distributed and cognitive fashion at the beginning of each time slot, based on local information, while channel/mode selection is performed in a centralized manner only at the beginning of an epoch, a time interval including a series of subsequent time slots. This hybrid approach guarantees an effective tradeoff between overhead and adaptivity. We analyze in depth the distributed power allocation mechanism, and we state a theorem which allows to derive the optimal power allocation strategy and to compute the corresponding throughput. Extensive simulations confirm the benefits granted by our approach, when compared with state-of-the-art distributed schemes, in terms of throughput and fairness.
机译:蜂窝网络中的交通需求越来越多,最近导致了对节省卓越资源等谱和能量的新策略的调查。如果两个终端位于近距离,则直接设备到设备(D2D)通信将成为有希望的解决方案。在这种情况下,D2D通信应该与蜂窝传输共存,因此必须仔细安排它们以避免有害的干扰影响。在本文中,我们概述了一种新颖的框架,包括D2D通信的通道分配,模式选择和功率控制。基于本地信息,在每个时隙的开头处以分布式和认知方式完成功率分配,而频道/模式选择仅以时代的开头以集中方式执行,则包括一系列后续的时间间隔时隙。这种混合方法保证了开销和适应性之间有效的权衡。我们深入分析了分布式电力分配机制,我们说明了一个定理,允许获得最佳功率分配策略并计算相应的吞吐量。在吞吐量和公平方面,广泛的模拟确认了我们的方法授予的益处,与最先进的分布式方案相比。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号