121 research outputs found
Linear Block Coding for Efficient Beam Discovery in Millimeter Wave Communication Networks
The surge in mobile broadband data demands is expected to surpass the
available spectrum capacity below 6 GHz. This expectation has prompted the
exploration of millimeter wave (mm-wave) frequency bands as a candidate
technology for next generation wireless networks. However, numerous challenges
to deploying mm-wave communication systems, including channel estimation, need
to be met before practical deployments are possible. This work addresses the
mm-wave channel estimation problem and treats it as a beam discovery problem in
which locating beams with strong path reflectors is analogous to locating
errors in linear block codes. We show that a significantly small number of
measurements (compared to the original dimensions of the channel matrix) is
sufficient to reliably estimate the channel. We also show that this can be
achieved using a simple and energy-efficient transceiver architecture.Comment: To appear in the proceedings of IEEE INFOCOM '1
An FPGA implementation of OFDM transceiver for LTE applications
The paper presents a real-time transceiver using an
Orthogonal Frequency-Division Multiplexing (OFDM)
signaling scheme. The transceiver is implemented on a
Field-
Programmable Gate Array (FPGA) through Xilinx System
Generator for DSP and includes all the blocks needed
for the
transmission path of OFDM. The transmitter frame can be
reconfigured for different pilot and data schemes. In the
receiver, time-domain synchronization is achieved thr
ough a
joint maximum likelihood (ML) symbol arrival-time and
carrier frequency offset (CFO) estimator through the
redundant information contained in the cyclic prefix (CP).
A
least-squares channel estimation retrieves the channel
state
information and a simple zero-forcing scheme has been
implemented for channel equalization. Results show that a
rough implementation of the signal path can be impleme
nted
by using only Xilinx System Generator for DSP
Massive MIMO and Full-duplex Relaying Systems
In this thesis, we study how massive multiple-input and multiple-output (MIMO) can be employed to mitigate loop-interference (LI), multi-user interference and noise in a full-duplex (FD) relaying system. For a FD relaying system with massive MIMO deployed at both source and destination, we investigate three FD relaying schemes: co-located, distributed cooperative, and distributed non-cooperative relaying. Asymptotic analysis shows that the three schemes can completely cancel multi-user interference and LI when the number of antennas at the source and destination grows without bound, in the case where the relay has a finite number of antennas. For the system with massive MIMO deployed at the FD relay, we propose a pilot protocol for LI channel minimum-mean-square-error estimation by exploiting the channel coherence time difference between static and moving transceivers. To maximize the end-to-end achievable rate, we design a novel power allocation scheme to adjust the transmit power of each link at the relay in order to equalize the achievable rate of the source-to-relay and relay-to-destination links. The analytical and numerical results show that the proposed pilot protocol and power allocation scheme jointly improve both spectral and energy efficiency significantly. To enable the use of low resolution analog-to-digital converters (ADCs) at relays for energy saving, we propose a novel iterative power allocation scheme to mitigate the resulting quantization noise via reducing the received LI power and numerically identify the optimum resolutions of ADCs for maximizing throughput and energy efficiency. For massive MIMO receivers employing one-bit ADCs, we propose three carrier frequency (CFO) offset estimation schemes for dual-pilot and multiple-pilot cases. The three schemes are developed under different scenarios: large but finite number of antennas at the receiver, infinite number of antennas at the receiver, and very small CFO, respectively
Direction of Arrival Estimation for Radio Positioning: a Hardware Implementation Perspective
Nowadays multiple antenna wireless systems have gained considerable attention due to their
capability to increase performance. Advances in theory have introduced several new schemes
that rely on multiple antennas and aim to increase data rate, diversity gain, or to provide
multiuser capabilities, beamforming and direction finding (DF) features. In this respect, it
has been shown that a multiple antenna receiver can be potentially used to perform radio
localization by using the direction of arrival (DoA) estimation technique.
In this field, the literature is extensive and gathers the results of almost four decades
of research activities. Among the most cited techniques that have been developed, we find
the so called high-resolution algorithms, such as multiple signal classification (MUSIC), or
estimation of signal parameters via rotational invariance (ESPRIT). Theoretical analysis
as well as simulation results have demonstrated their excellent performance to the point
that they are usually considered as reference for the comparison with other algorithms.
However, such a performance is not necessarily obtained in a real system due to the presence
of non idealities. These can be divided into two categories: the impairments due to the
antenna array, and the impairments due to the multiple radio frequency (RF) and acquisition
front-ends (FEs). The former are strongly influenced by the manufacturing accuracy and,
depending on the required DoA resolution, have to be taken into account. Several works
address these issues in the literature. The multiple FE non idealities, instead, are usually
not considered in the DoA estimation literature, even if they can have a detrimental effect
on the performance. This has motivated the research work in this thesis that addresses the
problem of DoA estimation from a practical implementation perspective, emphasizing the
impact of the hardware impairments on the final performance. This work is substantiated
by measurements done on a state-of-the-art hardware platform that have pointed out the
presence of non idealities such as DC offsets, phase noise (PN), carrier frequency offsets
(CFOs), and phase offsets (POs) among receivers. Particularly, the hardware platform will
be herein described and examined to understand what non idealities can affect the DoA
estimation performance. This analysis will bring to identify which features a DF system
should have to reach certain performance.
Another important issue is the number of antenna elements. In fact, it is usually limited by practical considerations, such as size, costs, and also complexity. However, the most
cited DoA estimation algorithms need a high number of antenna elements, and this does not
yield them suitable to be implemented in a real system. Motivated by this consideration,
the final part of this work will describe a novel DoA estimation algorithm that can be
used when multipath propagation occurs. This algorithm does not need a high number
of antenna elements to be implemented, and it shows good performance despite its low
implementation/computational complexity
MATLAB as a Design and Verification Tool for the Hardware Prototyping of Wireless Communication Systems
Peer ReviewedPostprint (published version
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