Zobrazeno 1 - 10
of 240
pro vyhledávání: '"Cavallaro Joseph R"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2006, Iss 1, p 057134 (2006)
We present an efficient circulant approximation-based MIMO equalizer architecture for the CDMA downlink. This reduces the direct matrix inverse (DMI) of size with complexity to some FFT operations with complexity and the inverse of some submatrices.
Externí odkaz:
https://doaj.org/article/fe5828e0c6074620a59c0dbefdfff525
Autor:
Li, Kaipeng, McNaney, James, Tarver, Chance, Castañeda, Oscar, Jeon, Charles, Cavallaro, Joseph R., Studer, Christoph
Massive multi-user (MU) multiple-input multiple-output (MIMO) provides high spectral efficiency by means of spatial multiplexing and fine-grained beamforming. However, conventional base-station (BS) architectures for systems with hundreds of antennas
Externí odkaz:
http://arxiv.org/abs/1912.04437
Digital predistortion is the process of correcting for nonlinearities in the analog RF front-end of a wireless transmitter. These nonlinearities contribute to adjacent channel leakage, degrade the error vector magnitude of transmitted signals, and of
Externí odkaz:
http://arxiv.org/abs/1907.00766
Massive multiuser (MU) multiple-input multiple-output (MIMO) promises significant improvements in spectral efficiency compared to small-scale MIMO. Typical massive MU-MIMO base-station (BS) designs rely on centralized linear data detectors and precod
Externí odkaz:
http://arxiv.org/abs/1902.08653
Linear data-detection algorithms that build on zero forcing (ZF) or linear minimum mean-square error (L-MMSE) equalization achieve near-optimal spectral efficiency in massive multi-user multiple-input multiple-output (MU-MIMO) systems. Such algorithm
Externí odkaz:
http://arxiv.org/abs/1808.04473
Massive multi-user multiple-input multiple-output (MU-MIMO) enables significant gains in spectral efficiency and link reliability compared to conventional small-scale MIMO technology. Furthermore, linear precoders, e.g., using zero forcing or Wiener
Externí odkaz:
http://arxiv.org/abs/1804.10987
Massive multi-user (MU) multiple-input multiple-output (MIMO) promises significant gains in spectral efficiency compared to traditional, small-scale MIMO technology. Linear equalization algorithms, such as zero forcing (ZF) or minimum mean-square err
Externí odkaz:
http://arxiv.org/abs/1705.02976
Autor:
Li, Kaipeng, Sharan, Rishi, Chen, Yujun, Goldstein, Tom, Cavallaro, Joseph R., Studer, Christoph
Achieving high spectral efficiency in realistic massive multi-user (MU) multiple-input multiple-output (MIMO) wireless systems requires computationally-complex algorithms for data detection in the uplink (users transmit to base-station) and beamformi
Externí odkaz:
http://arxiv.org/abs/1702.04458
Autor:
Li, Kaipeng, Ghazi, Amanullah, Tarver, Chance, Boutellier, Jani, Abdelaziz, Mahmoud, Anttila, Lauri, Juntti, Markku, Valkama, Mikko, Cavallaro, Joseph R.
Digital predistortion (DPD) is a widely adopted baseband processing technique in current radio transmitters. While DPD can effectively suppress unwanted spurious spectrum emissions stemming from imperfections of analog RF and baseband electronics, it
Externí odkaz:
http://arxiv.org/abs/1612.09001
Data detection in massive multi-user (MU) multiple-input multiple-output (MIMO) wireless systems is among the most critical tasks due to the excessively high implementation complexity. In this paper, we propose a novel, equalization-based soft-output
Externí odkaz:
http://arxiv.org/abs/1611.08779