[1]郭荣新.多小区多用户MISO系统中自适应有限反馈方案[J].华侨大学学报(自然科学版),2017,38(1):91-95.[doi:10.11830/ISSN.1000-5013.201701017]
 GUO Rongxin.Adaptive Limited Feedback Scheme in Multicell Multiuser MISO Systems[J].Journal of Huaqiao University(Natural Science),2017,38(1):91-95.[doi:10.11830/ISSN.1000-5013.201701017]
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多小区多用户MISO系统中自适应有限反馈方案()
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《华侨大学学报(自然科学版)》[ISSN:1000-5013/CN:35-1079/N]

卷:
第38卷
期数:
2017年第1期
页码:
91-95
栏目:
出版日期:
2017-01-09

文章信息/Info

Title:
Adaptive Limited Feedback Scheme in Multicell Multiuser MISO Systems
文章编号:
1000-5013(2017)01-0091-05
作者:
郭荣新
华侨大学 信息科学与工程学院, 福建 厦门 361021
Author(s):
GUO Rongxin
College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China
关键词:
有限反馈 和速率 基站协作 小区 干扰消除 随机矢量
Keywords:
limited feedback sum rate base station cooperation inter-cell interference cancellation random vector
分类号:
TN911.7
DOI:
10.11830/ISSN.1000-5013.201701017
文献标志码:
A
摘要:
依据有限的用户信道状态信息(CSI)下的小区间干扰消除,提出一种简单的协作单小区传输方案.研究使用不同的有限反馈方案所造成的和速率损失,对提出的反馈比特的分配算法给出具体的闭合表达式,该算法能够使量化误差最小.仿真结果表明:与等比特分配算法相比,提出的自适应比特分配算法能获得更优的系能增益.
Abstract:
By using the inter-cell interference cancellation based on limited user channel state information(CSI), a simple cooperative single cell transmission scheme is proposed in this paper. The sum-rate loss caused by different limited feedback schemes is investigated. The closed-form expressions of proposed feedback bit allocation scheme is presented, which can minimize the quantization error. Simulation results show that the proposed feedback bits allocation strategy provides significant gain compared with equal bits allocation scheme.

参考文献/References:

[1] ZHANG Hongyuan, DAI Huaiyu. Cochannel interference mitigation and cooperative processing in downlink multicell multiuser MIMO networks[J].EURASIP Journal on Wireless Communications and Networking,2004,2004(2):222-235.
[2] GESBERT D,HANLY S,HUANG H,et al.Multi-cell MIMO cooperative networks: A new look at interference[J].IEEE Journal on Selected Areas In Communications,2010,28(9):1380-1408.
[3] SAMARDZIJA D,HUANG H.Determining backhaul bandwidth requirements of network MIMO[C]//Proc Eur Signal Process Conf.Lisbon Portugal:IEEE Press,2009:1494-1498.
[4] ZHOU Sheng,NIU Zhisheng.Distributed adaptation of quantized feedback for downlink network MIMO systems[J].IEEE Transactions on Wireless Communications,2011,10(1):61-67.
[5] LEE N,SHIN W.Adaptive feedback scheme on K-Cell MISO interfering broadcast channel with limited feedback[J].IEEE Transactions on Wireless Communications,2011,10(2):401-406.
[6] BHAGAVATULA R,HEATH R W.Adaptive limited feedback for sum-rate maximizing beamforming in cooperative multicell systems[J].IEEE Transactions on Signal Processing,2011,59(2):800-811.
[7] ZHANG Jun,ANDREWS J G.Adaptive spatial intercell interference cancellation in multicell wireless networks[J].IEEE Journal on Selected Areas in Communications,2010,28(9):1455-1467.
[8] BHAGAVATULA R,HEATH R W.Adaptive bit partitioning for multicell intercell interference nulling with delayed limited feedback[J].IEEE Transactions on Signal Processing,2011,59(8):3824-3836.
[9] ZHANG Jun,KOUNTOURIS M,ANDREWS J G,et al.Multi-mode transmission for the MIMO broadcast channel with imperfect channel state information[J].IEEE Transactions on Communications,2011,59(3):803-814.
[10] JINDAL N.MIMO broadcast channels with finite-rate feedback[J].IEEE Transactions on Information Theory,2006,52:5045-5060.
[11] HAVIL J.Gamma: Exploring Euler’s constant[M].New Jersey:Princeton University Press,2003:234-235.

相似文献/References:

[1]袁继昌,赵睿.干扰泄漏最小的多小区MIMO干扰对齐算法[J].华侨大学学报(自然科学版),2014,35(1):22.[doi:10.11830/ISSN.1000-5013.2014.01.0022]
 YUAN Ji-Chang,ZHAO Rui.Multicell MIMO Interference Alignment Algorithm Based on Minimum Interference Leakage[J].Journal of Huaqiao University(Natural Science),2014,35(1):22.[doi:10.11830/ISSN.1000-5013.2014.01.0022]

备注/Memo

备注/Memo:
收稿日期: 2015-01-07
通信作者: 郭荣新(1980-),男,实验师,主要从事移动通信的信息处理方面的研究.E-mail:grxeee@hqu.edu.cn.
基金项目: 国家自然科学基金资助项目(61201264, 61401165); 福建省自然科学基金资助项目(2015J01262); 福建省泉州市重点科技专项(2012Z99); 华侨大学实验教学改革与建设课题(66661204Y)
更新日期/Last Update: 2017-01-20