Thông tin chung
  English
  Đề tài NC khoa học
  Bài báo, báo cáo khoa học
  Hướng dẫn Sau đại học
  Sách và giáo trình
  Các học phần và môn giảng dạy
  Giải thưởng khoa học, Phát minh, sáng chế
  Khen thưởng
  Thông tin khác
  Tài liệu tham khảo
  Hiệu chỉnh
 
Số người truy cập: 109,417,020

 The Optimal MMSE Transceiver Design for IoT-oriented Cognitive Radio Systems
Tác giả hoặc Nhóm tác giả: Nguyen Duy Nhat Vien, Ngo Minh Tri, Vu Van Thanh
Nơi đăng: J. ADV COMP ENG TECHNOL, 5(3) Summer 2019; Số: Volume 5_Isue 3;Từ->đến trang: 161-168;Năm: 2019
Lĩnh vực: Khoa học công nghệ; Loại: Bài báo khoa học; Thể loại: Quốc tế
TÓM TẮT
This paper studies interference alignment scheme and minimum mean square error
(MMSE) improvement in Internet of Things (IoT)-oriented cognitive systems, where IoT devices
share the licensed spectrum by cognitive radio in spectrum underlay. Target to manage the intertier interference caused by cognitive spectrum sharing as well as ensure an MMSE at receivers, the
interference alignment algorithms is proposed. In particular, we focus on the problem of designing
the optimal linear pre-coding to minimize the total mean square error while satisfying transmit
power constraints. Firstly, we introduce a system model of the downlink IoT-oriented cognitive
multi-input multi-output (MIMO) system. Secondly, we propose an interference nulling based
cognitive interference alignment scheme, and then, the pre-coding and post-coding matrix designs
for the primary transceivers to minimum mean square error (MSE), as well as to eliminate the cochannel interference to the primary receivers. We also apply these interference alignment scheme
and matrix designs for the secondary links. Finally, the numerical results are used to evaluate
performance of the proposed algorithm
ABSTRACT
This paper studies interference alignment scheme and minimum mean square error
(MMSE) improvement in Internet of Things (IoT)-oriented cognitive systems, where IoT devices
share the licensed spectrum by cognitive radio in spectrum underlay. Target to manage the intertier interference caused by cognitive spectrum sharing as well as ensure an MMSE at receivers, the
interference alignment algorithms is proposed. In particular, we focus on the problem of designing
the optimal linear pre-coding to minimize the total mean square error while satisfying transmit
power constraints. Firstly, we introduce a system model of the downlink IoT-oriented cognitive
multi-input multi-output (MIMO) system. Secondly, we propose an interference nulling based
cognitive interference alignment scheme, and then, the pre-coding and post-coding matrix designs
for the primary transceivers to minimum mean square error (MSE), as well as to eliminate the cochannel interference to the primary receivers. We also apply these interference alignment scheme
and matrix designs for the secondary links. Finally, the numerical results are used to evaluate
performance of the proposed algorithm
© Đại học Đà Nẵng
 
 
Địa chỉ: 41 Lê Duẩn Thành phố Đà Nẵng
Điện thoại: (84) 0236 3822 041 ; Email: dhdn@ac.udn.vn