Spatially Sparse Precoding in Millimeter Wave MIMO Systems
- Omar El Ayach, S. Rajagopal, S. Abu-Surra, Zhouyue Pi, R. Heath
- Computer ScienceIEEE Transactions on Wireless Communications
- 10 May 2013
This paper considers transmit precoding and receiver combining in mmWave systems with large antenna arrays and develops algorithms that accurately approximate optimal unconstrained precoders and combiners such that they can be implemented in low-cost RF hardware.
Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems
- A. Alkhateeb, Omar El Ayach, G. Leus, R. Heath
- Computer ScienceIEEE Journal on Selected Topics in Signal…
- 29 January 2014
An adaptive algorithm to estimate the mmWave channel parameters that exploits the poor scattering nature of the channel is developed and a new hybrid analog/digital precoding algorithm is proposed that overcomes the hardware constraints on the analog-only beamforming, and approaches the performance of digital solutions.
Coverage and Rate Analysis for Millimeter-Wave Cellular Networks
A general framework to evaluate the coverage and rate performance in mmWave cellular networks is proposed, and the results show that dense mmWave networks can achieve comparable coverage and much higher data rates than conventional UHF cellular systems, despite the presence of blockages.
An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems
- R. Heath, N. G. Prelcic, S. Rangan, W. Roh, A. Sayeed
- Computer ScienceIEEE Journal on Selected Topics in Signal…
- 9 December 2015
This article provides an overview of signal processing challenges in mmWave wireless systems, with an emphasis on those faced by using MIMO communication at higher carrier frequencies.
Grassmannian beamforming for multiple-input multiple-output wireless systems
- D. Love, R. Heath, T. Strohmer
- Computer Science, BusinessIEEE International Conference on Communications…
- 11 May 2003
A codebook design method for quantized versions of maximum ratio transmission, equal gain transmission, and generalized selection diversity with maximum ratio combining at the receiver is presented and systems using the beamforming codebooks are shown to have a diversity order of the product of the number of transmit and thenumber of receive antennas.
Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems
- A. Alkhateeb, G. Leus, R. Heath
- Computer ScienceIEEE Transactions on Wireless Communications
- 17 September 2014
Analytical and simulation results show that the proposed techniques offer higher sum rates compared with analog-only beamforming solutions, and approach the performance of the unconstrained digital beamforming with relatively small codebooks.
Five disruptive technology directions for 5G
- F. Boccardi, R. Heath, A. Lozano, T. Marzetta, P. Popovski
- Business, ArtIEEE Communications Magazine
- 1 December 2013
Five technologies that could lead to both architectural and component disruptive design changes: device-centric architectures, millimeter wave, massive MIMO, smarter devices, and native support for machine-to-machine communications are described.
GRASSMANNIAN FRAMES WITH APPLICATIONS TO CODING AND COMMUNICATION
- T. Strohmer, R. Heath
- Computer Science
- 13 January 2003
Energy-Efficient Hybrid Analog and Digital Precoding for MmWave MIMO Systems With Large Antenna Arrays
- Xinyu Gao, L. Dai, Shuangfeng Han, I. Chih-Lin, R. Heath
- Computer ScienceIEEE Journal on Selected Areas in Communications
- 16 July 2015
This paper proposes a successive interference cancelation (SIC)-based hybrid precoding with near-optimal performance and low complexity, and proposes a low-complexity algorithm to realize SIC-based Hybrid precoding, which can avoid the need for the singular value decomposition and matrix inversion.
Modeling and Analyzing Millimeter Wave Cellular Systems
- J. Andrews, T. Bai, M. Kulkarni, A. Alkhateeb, Abhishek K. Gupta, R. Heath
- Computer ScienceIEEE Transactions on Communications
- 13 May 2016
A baseline analytical approach based on stochastic geometry that allows the computation of the statistical distributions of the downlink signal-to-interference-plus-noise ratio (SINR) and also the per link data rate, which depends on the SINR as well as the average load is presented.
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