Efficient Detection for Improving ASEP Performance of MIMO Composite Fading Channel with Generalized Noise

被引：0

作者：

Tiwari, Keerti ^{[1
]}

Saini, Davinder S. ^{[2
]}

Bhooshan, Sunil V. ^{[1
]}

机构：

[1] Jaypee Univ Informat Technol, Dept Elect & Commun Engn, Solan 173234, HP, India

[2] Chandigarh Coll Engn & Technol, Dept Elect & Commun Engn, Chandigarh 160019, India

来源：

WIRELESS PERSONAL COMMUNICATIONS | 2018年 / 98卷 / 03期

关键词：

Multiple-input multiple-output; Maximum likelihood; Minimum mean square error-ordered successive interference cancellation with candidate; Additive white generalized Gaussian noise; MODELS;

D O I：

10.1007/s11277-017-5007-4

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Multiple-input multiple-output (MIMO) system has achieved significant benefits by applying optimum detection techniques. Maximum likelihood (ML) detection technique improves the error rate performance of MIMO system at optimum level but with enhanced complexity. Therefore, we have considered minimum mean square error-ordered successive interference cancellation with candidate detection to approach the performance of ML with reduced complexity. The proposed system performance is analyzed in composite Weibull-gamma fading and additive white generalized Gaussian noise (AWGGN) scenario. Some special cases of WG fading and AWGGN yield the simplified results.

引用

页码：2913 / 2923

页数：11

共 23 条

[1] A useful integral for wireless communication theory and its application to rectangular signaling constellation error rates [J].