Title
Multiuser Detection of Co-Channel Systems Using Combination of Basic Network Coding and HARQ
Abstract
A multiuser system where signals are simultaneously transmitted within the same bandwidth helps in achieving higher capacity. However, such a system is quite vulnerable to co-channel interference, due to presence of multiple users in the system. Signal detection becomes highly challenging when number of transmit antennas exceeds the number of receive antennas,thereby creating an over-loaded wireless system. In this case, Maximum Likelihood (ML) detection offers optimal performance as compared to suboptimal methods. However, ML detection is prohibitively complex especially once the number of transmit antenna increase. This work proposes a receiver architecture tohandle multi user overloaded systems using a combination of Network Coding (NC) and Hybrid Automatic Repeat reQuest (HARQ) protocol to transform an overloaded system into a simplified co-channel system. An overloaded system is created using stacked HARQ retransmissions and NC techniques. This enables application of conventional low complexity detectors in such systems. Monte Carlo Simulations prove that the proposed approach results in significant gains in terms of Error Rates and throughput, while keeping the dropped packet rate quite low at an affordable complexity.
Year
DOI
Venue
2015
10.1109/VTCSpring.2015.7145943
Vehicular Technology Conference
Keywords
Field
DocType
Monte Carlo methods,automatic repeat request,cochannel interference,multi-access systems,multiuser detection,network coding,receiving antennas,transmitting antennas,HARQ,Monte Carlo simulations,co-channel interference,co-channel systems,hybrid automatic repeat request protocol,maximum likelihood detection,multiuser detection,multiuser system,network coding,over-loaded wireless system,receive antennas,signal detection,transmit antennas
Linear network coding,Hybrid automatic repeat request,Detection theory,Computer science,Network packet,Multiuser detection,Real-time computing,Electronic engineering,Bandwidth (signal processing),Throughput,Multi-user
Conference
ISSN
Citations 
PageRank 
2577-2465
0
0.34
References 
Authors
5
3
Name
Order
Citations
PageRank
Adnan Ahmed Khan1287.09
Amna Qayyum200.34
Muhammad Ali Imran32920278.27