Radio Access Techniques for Heterogeneous Wireless Networks (RACHEL)

Type: 
Funded by: 
MINECO, TEC2013-47141-C4-3-R
Duration: 
2014-2016

Mobile communications market forecasts an exponential growth of mobile subscriptions and data traffic over the next few years. Such trend is driven by a new generation of wireless users equipment, the proliferation of data rate intensive applications and machines willing to communicate over the mobile networks. Conventional approaches to design cellular networks such as increasing the number of macrocell sites, or enhancing the macrocell radio access features, are widely believed to be insufficient to avoid the foreseeable collapse of currently deployed mobile networks. In this project, a different approach is followed: complementing the conventional macrocell network with small cells (micro-, pico- and femtocells) equipped with lower power nodes and Machine-to-Machine (M2M) communications, thereby creating an Heterogeneous wireless Network (HetNet). Such approach is considered as the most promising way to increase the capacity and data rate of mobile wireless networks. Although an effective solution, HetNets still have a large number of technical challenges unsolved, the most important being the mitigation and coordination of the interferences between macro and small cells. RACHEL is expected to lead to significant progress beyond the current state-of-the-art in a number of radio access techniques for HetNets.

Publications for this project

Journal Article

2017

J. Fanjul, Ó. González, I. Santamaría, and C. Beltrán, "Homotopy Continuation for Spatial Interference Alignment in Arbitrary MIMO X Networks", IEEE Transactions on Signal Processing, vol. 65, issue 7, pp. 1752-1764, April, 2017. PDF icon PDF Version (1.81 MB)

2015

D. Ramírez, P. J. Schreier, J. Vía, I. Santamaría, and L. L. Scharf, "Detection of Multivariate Cyclostationarity", IEEE Transactions on Signal Processing, vol. 63, issue 20, pp. 5395-5408, October, 2015. PDF icon PDF Version (2.61 MB)
Conference Paper

2016

J. Vía, and I. Santamaría, "Balanced least squares: estimation in linear systems with noisy inputs and multiple outputs", IEEE Workshop on Statistical Signal Processing (SSP), Palma de Mallorca, June, 2016. PDF icon PDF Version (486.55 KB)
Y. Wang, L. L. Scharf, I. Santamaría, and H. Wang, "Canonical Correlations for Target Detection in a Passive Radar Network", Asilomar Conference on Signals, Systems and Computers (ASILOMAR), Pacific Grove (CA), USA, IEEE, November, 2016. PDF icon PDF Version (197.45 KB)
I. Santamaría, L. L. Scharf, C. Peterson, M. Kirby, and J. Francos, "An order fitting rule for optimal subspace averaging", IEEE Workshop on Statistical Signal Processing (SSP), Palma de Mallorca, June , 2016. PDF icon PDF Version (191.18 KB)
Z. Stamenkovic, S. Randjić, I. Santamaría, U. Pešović, G. Panić, and S. Tanasković, "Advanced Wireless Sensor Nodes and Networks for Agricultural Applications", 24th Telecommunications Forum, (TELFOR 2016), Belgrade, Serbia, IEEE, November, 2016. PDF icon PDF Version (677.28 KB)
I. Santamaría, and J. Fanjul, "Statistical Analysis of Single-Beam Interference Alignment Schemes", IEEE Workshop on Signal Processing Advances on Wireless Communications (SPAWC), Edimburgh, UK, July, 2016. PDF icon PDF Version (442.02 KB)
J. Fanjul, and I. Santamaría, "On the Spatial Degrees of Freedom Benefits of Reverse TDD in Multicell MIMO Networks", 24th European Signal Processing Conference (EUSIPCO 2016), Budapest, Hungary, pp. 1363-1367, September, 2016. PDF icon PDF Version (376.85 KB)
C. Lameiro, I. Santamaría, W. Utschick, and P. J. Schreier, "Maximally Improper Interference in Underlay Cognitive Radio Networks", IEEE International Conference on Acoustics, Speech and Signal Processing, Shanghai, China, March, 2016. PDF icon PDF Version (235.76 KB)
I. Santamaría, L. L. Scharf, D.. Cochran, and J. Vía, "Passive Detection of Rank-One Signals with a Multiantenna Reference Channel", 24th European Signal Processing Conference (EUSIPCO 2016), Budapest, Hungary, pp. 140-144, September, 2016. PDF icon PDF Version (153.26 KB)
S. Van Vaerenbergh, J. Fernández-Bes, and V. Elvira, "On The Relationship Between Online Gaussian Process Regression And Kernel Least Mean Squares Algorithms", 2016 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2016), Salerno, Italy, IEEE, September, 2016. PDF icon PDF Version (175.24 KB)

2015

J. Fanjul, C. Lameiro, I. Santamaría, J. A. García-Naya, and L. Castedo, "An Experimental Evaluation of Broadband Spatial IA for Uncoordinated MIMO-OFDM Systems", IEEE International Conference on Digital Signal Processing (DSP), Singapore, pp. 570--574, July, 2015. PDF icon PDF Version (156.84 KB)
J. Fernández-Bes, V. Elvira, and S. Van Vaerenbergh, "A Probabilistic Least-Mean-Squares Filter", 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), April, 2015. PDF icon PDF Version (375.31 KB)
C. Lameiro, I. Santamaría, and P. J. Schreier, "Analysis of maximally improper signalling schemes for underlay cognitive radio", IEEE International Conference on Communications (ICC), London, UK, June, 2015. PDF icon PDF Version (416.99 KB)
J. Bezanilla, and J. Vía, "Antenna Grouping for General Discriminatory Channel Estimation", Wireless Communications and Signal Processing (WCSP), Nanjing, China, October, 2015. PDF icon PDF Version (332.6 KB)