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Journal article
On the integration of SIC and MIMO DoF for interference cancellation in wireless networks
Wireless networks, Vol.24(7), pp.2357-2374
10/2018
Web of Science ID: WOS:000443723700002
Abstract
Recent advances in MIMO degree-of-freedom (DoF) models allowed MIMO research to penetrate the networking community. Independent from MIMO, successive interference cancellation (SIC) is a powerful physical layer technique used in multi-user detection. Based on the understanding of the strengths and weaknesses of MIMO DoF and SIC, we propose to have DoF-based interference cancellation (IC) and SIC help each other so that (i) precious DoF resources can be conserved through the use of SIC and (ii) the stringent SINR threshold criteria can be met through the use of DoF-based IC. In this paper, we develop the necessary mathematical models to realize the two ideas in a multi-hop wireless network. Together with scheduling and routing constraints, we develop a cross-layer optimization framework with joint DoF IC and SIC. By applying the framework on a throughput maximization problem, we find that SIC and DoF IC can indeed work in harmony and achieve the two ideas that we propose.
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Details
- Title
- On the integration of SIC and MIMO DoF for interference cancellation in wireless networks
- Publication Details
- Wireless networks, Vol.24(7), pp.2357-2374
- Resource Type
- Journal article
- Publisher
- Springer Nature
- Number of pages
- 18
- Grant note
- 1443889 / Direct For Computer & Info Scie & Enginr; Division Of Computer and Network Systems; National Science Foundation (NSF); NSF - Directorate for Computer & Information Science & Engineering (CISE) 1642873; 1617634; 1443889; 1343222; 1102013; 1064953 / NSF; National Science Foundation (NSF) U.S. Army Research Laboratory; United States Department of Defense; US Army Research Laboratory (ARL) N00014-15-1-2926 / ONR; United States Department of Defense; United States Navy; Office of Naval Research 1102013 / Div Of Electrical, Commun & Cyber Sys; Directorate For Engineering; National Science Foundation (NSF); NSF - Directorate for Engineering (ENG); NSF - Division of Electrical, Communications & Cyber Systems (ECCS) 1343222 / Direct For Computer & Info Scie & Enginr; Division Of Computer and Network Systems; National Science Foundation (NSF); NSF - Directorate for Computer & Information Science & Engineering (CISE)
- Copyright
- © 2017, Springer Science Business Media New York
- Identifiers
- WOS:000443723700002; 99381512042006600
- Academic Unit
- Intelligent Systems and Robotics; Hal Marcus College of Science and Engineering
- Language
- English