Distributed opportunistic scheduling for MIMO underlay cognitive radio networks-Reference-Cited by-同舟云学术

Distributed opportunistic scheduling for MIMO underlay cognitive radio networks

Published:2016-06-13 Issue:15 Volume:16 Page:2212-2224
ISSN:1530-8669
Container-title:Wireless Communications and Mobile Computing
language:en
Short-container-title:Wirel. Commun. Mob. Comput.

Author:

El Tanab Manal¹,Hamouda Walaa¹,Fahmy Yasmine²

Affiliation:

1. Electrical and Computer Engineering; Concordia University; Montreal H3G 1M8 QC Canada

2. Department of Electronics and Electrical Communications Engineering, Faculty of Engineering; Cairo University; Giza Egypt

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Reference29 articles.

1. Federal Communications Commission Spectrum policy task force, Rep. ET Docket no. 02-135 2002

2. Cognitive radio: brain-empowered wireless communications;Haykin;IEEE Journal on Selected Areas in Communications,2005

3. An optimal scheduling framework for concurrent transmissions in wireless cognitive radio networks;Jalaeian;Telecommunication Systems,2015

4. Alsharoa A Ghazzai H Yaacoub E Alouini MS Bandwidth and power allocation for two-way relaying in overlay cognitive radio systems IEEE Global Communications Conference (GLOBECOM) Austin, TX, USA 2014 911 916

5. Knopp R Humblet PA Information capacity and power control in single-cell multiuser communications IEEE International Conference On Communications (ICC) Seattle, WA 1995 331 335

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