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Multiuser Detection Using Hybrid ARQ with Incremental Redundancy in Overloaded MIMO Systems (Workshop Paper)
- Source :
- Collaborative Computing: Networking, Applications and Worksharing-15th EAI International Conference, CollaborateCom 2019, London, UK, August 19-22, 2019, Proceedings, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030301453, CollaborateCom, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering-Collaborative Computing: Networking, Applications and Worksharing
- Publication Year :
- 2019
-
Abstract
- Multiple Input and Multiple Output (MIMO) systems use multiple antennas at both transmitter and receiver ends for increasing link capacity and spectral efficiency. However, combining schemes used for such systems face critical issues such as presence of interference, signals to interference and noise ratios (SINRs) and complexity. To overcome the asserted issues; in this paper linear multiuser detection techniques are employed in over loaded MIMO systems where the number of transmit antennas (\(\varvec{N_t}\)) is greater than number of receiver antennas (\(\varvec{N_r}\)), using Hybrid Automatic Repeat request with Incremental Redundancy (HARQ IR). The primary aim of this research is to enhance bit error rate (BER) and throughput by transforming an overloaded MIMO systems (\(\varvec{N_t>N_r}\)) into critically loaded system (\(\varvec{N_t=N_r}\)) or under loaded MIMO systems (\(\varvec{N_t
- Subjects :
- Computer science
Retransmission
Transmitter
MIMO
ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS
Hybrid automatic repeat request
020206 networking & telecommunications
02 engineering and technology
Spectral efficiency
Data_CODINGANDINFORMATIONTHEORY
Topology
Multiuser detection
0202 electrical engineering, electronic engineering, information engineering
Bit error rate
020201 artificial intelligence & image processing
Throughput (business)
Computer Science::Information Theory
Subjects
Details
- ISBN :
- 978-3-030-30145-3
978-3-030-30146-0 - ISSN :
- 18678211 and 1867822X
- ISBNs :
- 9783030301453 and 9783030301460
- Database :
- OpenAIRE
- Journal :
- Collaborative Computing: Networking, Applications and Worksharing - 15th EAI International Conference, CollaborateCom 2019, London, UK, August 19-22, 2019, Proceedings
- Accession number :
- edsair.doi.dedup.....a5b0a92dc2e2d396eabc024fa28fd0f3
- Full Text :
- https://doi.org/10.1007/978-3-030-30146-0_43