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Interference cancellation in HetNet uplink with and without MU‐CSIR: a subspace‐based approach
- Source :
- IET Communications. 14:1113-1119
- Publication Year :
- 2020
- Publisher :
- Institution of Engineering and Technology (IET), 2020.
-
Abstract
- One of the prime concerns regarding multi-tier architecture in heterogeneous networks (HetNets) is the interference between users in macrocells and femtocells. Interference mitigation (IM) in femtocells is of critical importance due to high power interfering signals from macrocells. However, such IM techniques generally demand intensive signalling overhead that adversely affect the benefits of multi-tier network architecture. A novel interference cancellation technique with very low signalling overhead that does not require global channel state information at the transmitter is proposed in this study for the uplink of HetNets. The proposed subspace nulling (SN)-based method projects the composite received signal onto the intersection space of the left null space of the interfering space and the row space of desired space to cancel the cross-tier interference. This is achieved both in the presence and absence of macrocell user channel state information at receiver (MU-CSIR). The authors also propose a low complexity subspace method that works with the knowledge of MU-CSIR. Exhaustive simulation studies show that the proposed schemes fully cancel the cross-tier interference in femtocell tier resulting in better bit error rate performance for the FU receiver.
- Subjects :
- Computer science
ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS
Transmitter
020206 networking & telecommunications
020302 automobile design & engineering
02 engineering and technology
Computer Science Applications
0203 mechanical engineering
Single antenna interference cancellation
Interference (communication)
Channel state information
Telecommunications link
0202 electrical engineering, electronic engineering, information engineering
Femtocell
Electronic engineering
Bit error rate
Overhead (computing)
Macrocell
Electrical and Electronic Engineering
Subjects
Details
- ISSN :
- 17518636
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- IET Communications
- Accession number :
- edsair.doi...........8916a1096cbeba89b9a7569a7c36ea7f
- Full Text :
- https://doi.org/10.1049/iet-com.2019.0726