T
Tilak Rajesh Lakshmana
Researcher at Chalmers University of Technology
Publications - 23
Citations - 216
Tilak Rajesh Lakshmana is an academic researcher from Chalmers University of Technology. The author has contributed to research in topics: Channel state information & Precoding. The author has an hindex of 9, co-authored 23 publications receiving 203 citations.
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Journal ArticleDOI
Resource and Mobility Management in the Network Layer of 5G Cellular Ultra-Dense Networks
Daniel Calabuig,Sokratis Barmpounakis,Sonia Gimenez,Apostolos Kousaridas,Tilak Rajesh Lakshmana,Javier Lorca,Petteri Lunden,Zhe Ren,Pawel Sroka,Emmanuel Ternon,Venkatkumar Venkatasubramanian,Michal Maternia +11 more
TL;DR: The most promising solutions identified in the METIS project for the most relevant network layer challenges of cell densification: resource, interference and mobility management are analyzed and presented.
Journal ArticleDOI
Precoder Design With Incomplete Feedback for Joint Transmission
TL;DR: This paper proposes utilizing the long-term channel statistics comprising of pathloss and shadow fading in the precoder design to model the statistical interference for the unknown CSI, and proposes a successive second-order cone programming (SSOCP)-based precoder for maximizing the weighted sum rate.
Journal ArticleDOI
Partial joint processing with efficient backhauling using particle swarm optimization
TL;DR: The precoder obtained with the objective of weighted interference minimization allows some multiuser interference in the system, and it is shown to improve the sum rate by 66% compared to a conventional zero forcing approach, for those users experiencing low signal to interference plus noise ratio.
Proceedings ArticleDOI
Partial Joint Processing for Frequency Selective Channels
TL;DR: An algorithm is proposed that defines a cooperation area over the cluster where the partial joint processing scheme can be performed, frequency adaptive or non-adaptive, for a given active set threshold value.
EU FP7 INFSO-ICT-247223 ARTIST4G, D1.2 Innovative advanced signal processing algorithms for interference avoidance
Valeria D'Amico,Hardy Halbauer,Daniel Aronsson,Carmen Botella Mascarell,Stefan Brueck,Cristina Ciochina,Thomas Eriksson,Richard Fritzsche,David Gesbert,Jochen Giese,Nicolas Gresset,Tilak Rajesh Lakshmana,Behrooz Makki,Bruno Melis,Rikke Abildgaard Olesen,Maria Luz Pablo,Dinh Thuy Phan Huy,Stephan Saur,Mikael Sternad,Tommy Svensson,Randa Zakhour,Wolfgang Zirwas +21 more
TL;DR: In this article, the authors provide an overview of the proposed innovations and activities in Task 1.1 of Work Package 1 (WP1) of the ARTIST4G project, related to interference avoidance.