期刊文献+

基于干扰对齐的设备到设备功率控制算法 被引量:1

Device to device power control algorithm based on interference alignment
下载PDF
导出
摘要 为了使蜂窝网络系统中设备到设备(D2D)用户的速率总和最大,提出了一种基于干扰对齐(IA)的功率控制算法.该算法通过IA技术使得所有的D2D用户能够同时占用可使用的子载波;同时,控制每一个D2D用户在子载波上的功率,使所有D2D用户在对蜂窝用户(CU)产生的干扰小于干扰阈值的前提下,其速率和达到最大.仿真结果表明:与传统的基于频分多址(FDMA)的功率控制算法相比,本算法在干扰阈值为10 d Bm时,所得到的D2D用户的总速率和可提升约6 bit·S-1·Hz-1. In this paper,we present a power control algorithm based on interference alignment( IA) for device to device( D2D)network. The algorithm provides the opportunity for all D2 D Links to share the available subcarriers simultaneously using IA technique. Besides,it controls the power budget of each D2 D pair in order to maximize the sum-rate of the system without inducing excessive interference to cellular users( CU). Simulations show that the proposed power control algorithm achieves a significant sumrate increase up to 6 bit·s- 1·Hz- 1when the interference treshold is 10 d Bm,which is compared with traditional prower control algorithm based on frequency division multiple access( FDMA).
出处 《上海师范大学学报(自然科学版)》 2016年第2期166-171,共6页 Journal of Shanghai Normal University(Natural Sciences)
基金 国家自然科学基金项目(61503251)
关键词 功率控制 设备到设备 干扰对齐 速率和 FDMA power control D2D network interference alignment sum-rate FDMA
  • 相关文献

参考文献11

  • 1Min H, Seo W, Lee J, et al, Reliability improvement using receive mode selection in the device-to-device uplink period un- derlaying cellular networks [ J ]. Wireless Communication IEEE Transactions,2011,10 ( 2 ) :413 - 418.
  • 2Fodor G,Dahlman E,Mildh G,et al. Design aspects of network assisted device-to-device communications [ J ]. Communi- cations Magazine IEEE, 2012,50 (3) : 170 - 177.
  • 3Yu C H, Tirkkonen O, Doppler K, et al. On the performance of device-to-device underlay communication with simple pow- er control [ C ]//IEEE. Vehicular Technology Conference. Barcelona : IEEE, 2009.
  • 4Yu C H, Doppler K, Ribeiro C, et al. Resource sharing optimization for device-to-device communication underlaying cellu- lar networks [ J ]. Wireless Communication IEEE Transaction. 2011,10 (8) :2752 - 2763.
  • 5Gu J, Bae S J, Choi B G, et al. Dynamic power control mechanism for interference coordination of device-to-device commu- nication in cellular networks [ C ]//IEEE. Ubiquitous and Future Networks. Dalian:IEEE,2011.
  • 6Oruthota U, Tirkkonen O. lfQ Interference in Device-to-Device Underlay Communication with Uplink Power Control [ C ]//IEEE. Vehicular Technology Conference ( VTC Spring). Glasgow : IEEE, 2015.
  • 7Sboui L, Ghazzai H, Rezki Z, et al. Achievable rate of cognitive radio spectrum sharing MIMO channel with space align- ment and interference temperature precoding [ C ]//IEEE. 2013 IEEE International ConferenceCommunications (ICC). Budapest : IEEE ,2013.
  • 8Mohammed E1-Absi,ThomasKaiser. Optimal Resource Allocation Based on Interference Alignment for OFDM and FBMC MIMO Cognitive Radio Systems [ C ]//IEEE. Networks and Communications (EuCNC). Bologna : IEEE ,2014.
  • 9Chen S, Cheng R. Clustering for interference alignment in multiuser interference network [ J ]. Vehicular Technology, IEEE Transactions,2014,63 ( 6 ) :2613 - 2624.
  • 10Yang J W, LI L, Qiu H. Distributed interference alignment iterative algorithms in symmetric wireless network [J]. Journal of Shanghai Normal University( Natural Sciences) ,2015.44( 1 ) :32 - 38.

同被引文献1

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部