首页> 外文会议>IEEE International Symposium on Telecommunication Technologies >Resource allocation in multi-cell decode-and-forward relaying OFDMA cellular networks in the presence of multi-cell interference
【24h】

Resource allocation in multi-cell decode-and-forward relaying OFDMA cellular networks in the presence of multi-cell interference

机译:在存在多小区干扰的情况下,在多小区解码转发中继OFDMA蜂窝网络中的资源分配

获取原文

摘要

This paper aims to formulate power and sub-channel allocation problem in a multi-cell Orthogonal Frequency Division Multiple Access (OFDMA) half-duplex decode-and-forward (DF) relay assisted network in the presence of multi-cell interference. This formulation takes into account multi-cell co-channel interference as one of the critical factors in multi-cell processing. The resulting non-convex optimization problem has been solved by dual decomposition and, an iterative resource allocation algorithm is proposed to find solutions which satisfy Karush-Kuhn-Tucker (KKT) conditions. Two resource allocation strategies based on centralized and distributed policy are derived which maximize the average system throughput (bit/sec/Hz). Simulation results show that the proposed algorithm approach the maximum achievable throughput in comparison with conventional algorithms and provides substantial performance gains compared to single-cell optimization.
机译:本文旨在在存在多小区干扰的情况下,制定多小区正交频分多址(OFDMA)半双工解码转发(DF)中继辅助网络中的功率和子信道分配问题。该公式将多小区同信道干扰考虑为多小区处理中的关键因素之一。通过双重分解解决了由此产生的非凸优化问题,并提出了一种迭代资源分配算法来寻找满足Karush-Kuhn-Tucker(KKT)条件的解决方案。推导了基于集中式和分布式策略的两种资源分配策略,它们可以最大程度地提高平均系统吞吐量(位/秒/赫兹)。仿真结果表明,与传统算法相比,该算法可实现最大的吞吐量,并且与单细胞优化相比可提供显着的性能提升。

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