Cross layer interference mitigation using spectrum sensing

被引：0

作者：

Srikanteswara, Srikathayani ^{[1
]}

Li, Guoqing ^{[1
]}

Maciocco, Christian ^{[1
]}

机构：

[1] Intel Corp, Commun Technol Lab, Santa Clara, CA 95051 USA

来源：

GLOBECOM 2007: 2007 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, VOLS 1-11 | 2007年

关键词：

cross-layer adaptation; interference detection; interference mitigation; spectrum sensing;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Spectrum sensing for interference mitigation is, in the broad sense, the ability to detect and interpret other signals in the band and take appropriate actions by implementing adaptive techniques in the MAC layer in addition to traditional interference cancellation techniques applied in the PHY layer. In this paper we present algorithms to detect interference to WLAN systems in the 2.4GHz spectrum originating from microwave ovens (MWO) or frequency hopping devices like cordless phone, and methods to mitigate the interference. The concept can be extended to other coexistence issues as well as spectrum sharing between primary and secondary users of a spectrum.

引用

页码：3553 / 3557

页数：5

共 50 条

[11] Cross layer interference mitigation using a convergent two-stage game for ad hoc networks
Zeydan, Engin
Kivanc, Didem
Tureli, Uf
2008 42ND ANNUAL CONFERENCE ON INFORMATION SCIENCES AND SYSTEMS, VOLS 1-3, 2008, : 671 - +
[12] Electromagnetic interference mitigation by using a spread-spectrum approach
Lee, Y
Mittra, R
IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY, 2002, 44 (02) : 380 - 385
[13] Spectrum Sensing in Interference and Noise Using Deep Learning
Chew, Daniel
Cooper, A. Brinton
2020 54TH ANNUAL CONFERENCE ON INFORMATION SCIENCES AND SYSTEMS (CISS), 2020, : 233 - 238
[14] Effective Straggler Mitigation with Cross-layer Interference-aware Optimization
Zhao, Laiping
Le, Yiming
Fogelman-Soulie, Francoise
2019 IEEE 25TH INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS), 2019, : 177 - 182
[15] Radio Frequency Interference Detection and Mitigation Using Compressive Statistical Sensing
Cucho-Padin, G.
Wang, Y.
Li, E.
Waldrop, L.
Tian, Z.
Kamalabadi, F.
Perillat, P.
RADIO SCIENCE, 2019, 54 (11) : 986 - 1001
[16] Interference mitigation in spread spectrum using discrete evolutionary and Hough transforms
Suleesathira, R
Chaparro, LF
2000 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS, VOLS I-VI, 2000, : 2821 - 2824
[17] A Novel Technique for Interference Mitigation in OFDM Radar using Compressed Sensing
Nuss, Benjamin
Sit, Leen
Zwick, Thomas
2017 IEEE MTT-S INTERNATIONAL CONFERENCE ON MICROWAVES FOR INTELLIGENT MOBILITY (ICMIM), 2017, : 143 - 146
[18] Interference mitigation in spread spectrum communications using blind source separation
Belouchrani, A
Amin, MG
Wang, CS
THIRTIETH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1 AND 2, 1997, : 718 - 722
[19] Interference mitigation in wideband radios using spectrum correlation and neural network
Toma, Andrea
Nawaz, Tassadaq
Gao, Yue
Marcenaro, Lucio
Regazzoni, Carlo S.
IET COMMUNICATIONS, 2019, 13 (10) : 1336 - 1347
[20] Mitigation of Catastrophic Interference in Neural Networks using a Fixed Expansion Layer
Coop, Robert
Arel, Itamar
2012 IEEE 55TH INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS), 2012, : 726 - 729

← 1 2 3 4 5 →