5,407 research outputs found
Adaptive Wireless Networking
This paper presents the Adaptive Wireless Networking (AWGN) project. The project aims to develop methods and technologies that can be used to design efficient adaptable and reconfigurable mobile terminals for future wireless communication systems. An overview of the activities in the project is given. Furthermore our vision on adaptivity in wireless communications and suggestions for future activities are presented
Hybrid Millimeter-Wave Systems: A Novel Paradigm for HetNets
Heterogeneous Networks (HetNets) are known to enhance the bandwidth
efficiency and throughput of wireless networks by more effectively utilizing
the network resources. However, the higher density of users and access points
in HetNets introduces significant inter-user interference that needs to be
mitigated through complex and sophisticated interference cancellation schemes.
Moreover, due to significant channel attenuation and presence of hardware
impairments, e.g., phase noise and amplifier nonlinearities, the vast bandwidth
in the millimeter-wave band has not been fully utilized to date. In order to
enable the development of multi-Gigabit per second wireless networks, we
introduce a novel millimeter-wave HetNet paradigm, termed hybrid HetNet, which
exploits the vast bandwidth and propagation characteristics in the 60 GHz and
70-80 GHz bands to reduce the impact of interference in HetNets. Simulation
results are presented to illustrate the performance advantage of hybrid HetNets
with respect to traditional networks. Next, two specific transceiver structures
that enable hand-offs from the 60 GHz band, i.e., the V-band to the 70-80 GHz
band, i.e., the E-band, and vice versa are proposed. Finally, the practical and
regulatory challenges for establishing a hybrid HetNet are outlined.Comment: 12 pages, 5 Figures, IEEE Communication Magazine. In pres
Non-linear echo cancellation - a Bayesian approach
Echo cancellation literature is reviewed, then a Bayesian model is introduced and it is shown how how it can be used to model and fit nonlinear channels. An algorithm for cancellation of echo over a nonlinear channel is developed and tested. It is shown that this nonlinear algorithm converges for both linear and nonlinear channels and is superior to linear echo cancellation for canceling an echo through a nonlinear echo-path channel
Efficient DSP and Circuit Architectures for Massive MIMO: State-of-the-Art and Future Directions
Massive MIMO is a compelling wireless access concept that relies on the use
of an excess number of base-station antennas, relative to the number of active
terminals. This technology is a main component of 5G New Radio (NR) and
addresses all important requirements of future wireless standards: a great
capacity increase, the support of many simultaneous users, and improvement in
energy efficiency. Massive MIMO requires the simultaneous processing of signals
from many antenna chains, and computational operations on large matrices. The
complexity of the digital processing has been viewed as a fundamental obstacle
to the feasibility of Massive MIMO in the past. Recent advances on
system-algorithm-hardware co-design have led to extremely energy-efficient
implementations. These exploit opportunities in deeply-scaled silicon
technologies and perform partly distributed processing to cope with the
bottlenecks encountered in the interconnection of many signals. For example,
prototype ASIC implementations have demonstrated zero-forcing precoding in real
time at a 55 mW power consumption (20 MHz bandwidth, 128 antennas, multiplexing
of 8 terminals). Coarse and even error-prone digital processing in the antenna
paths permits a reduction of consumption with a factor of 2 to 5. This article
summarizes the fundamental technical contributions to efficient digital signal
processing for Massive MIMO. The opportunities and constraints on operating on
low-complexity RF and analog hardware chains are clarified. It illustrates how
terminals can benefit from improved energy efficiency. The status of technology
and real-life prototypes discussed. Open challenges and directions for future
research are suggested.Comment: submitted to IEEE transactions on signal processin
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