Improved guaranteed cost control and quantum adaptive control are developed in this study for a quadrotor helicopter with state
delay and actuator faults. Improved guaranteed cost control is designed to eliminate disturbance effects and guarantee the robust stability of a
quadrotor helicopter with state delay. The inapplicability of guaranteed cost control to the quadrotor linear model is addressed by combining
guaranteed cost control with a model reference linear quadratic regulator. In the event of actuator faults, quadrotor tracking PerFormance is
maintained through quantum adaptive control. Finally, the availability of the proposed scheme is verified through numerical simulation
The 4.0 kbit/s speech codec described in this paper is based on a
Frequency Domain Interpolative (FDI) coding technique, which
belongs to the class of prototype waveform Interpolation (PWI)
coding techniques. The codec also has an integrated voice
activity detector (VAD) and a noise reduction capability. The
input signal is subjected to LPC analysis and the prediction
residual is separated into a slowly evolving waveform (SEW) and
a rapidly evolving waveform (REW) components. The SEW
magnitude component is quantized using a hierarchical
predictive vector quantization approach. The REW magnitude is
quantized using a gain and a sub-band based shape. SEW and
REW phases are derived at the decoder using a phase model,
based on a transmitted measure of voice periodicity. The spectral
(LSP) parameters are quantized using a combination of scalar
and vector quantizers. The 4.0 kbits/s coder has an algorithmic
delay of 60 ms and an estimated floating point complexity of
21.5 MIPS. The PerFormance of this coder has been evaluated
using in-house MOS tests under various conditions such as
background noise. channel errors, self-tandem. and DTX mode
of operation, and has been shown to be statistically equivalent to
ITU-T (3.729 8 kbps codec across all conditions tested.
In recent years, cellular voice networks have transformed into powerful packet-switched
access networks for both voice communication and Internet access. Evolving Universal
Mobile Telecommunication System (UMTS) networks and first Long Term Evolution
(LTE) installations now deliver bandwidths of several megabits per second to individual
users, and mobile access to the Internet from handheld devices and notebooks is no
longer perceived as slower than a Digital Subscriber Line (DSL) or cable connection.
Bandwidth and capacity demands, however, keep rising because of the increasing number
of people using the networks and because of bandwidth-intensive applications such as
video streaming. Thus, network manufacturers and network operators need to find ways
to continuously increase the capacity and PerFormance of their cellular networks while
reducing the cost.
This introduction takes a visionary look at ideal cognitive radios (CRs) that inte-
grate advanced software-defined radios (SDR) with CR techniques to arrive at
radios that learn to help their user using computer vision, high-PerFormance
speech understanding, global positioning system (GPS) navigation, sophisticated
adaptive networking, adaptive physical layer radio waveforms, and a wide range
of machine learning processes.
The design and manufacturing of wireless radio frequency (RF) transceivers has developed rapidly in recent ten
yeas due to rapid development of RF integrated circuits and the evolution of high-speed digital signal
processors (DSP). Such high speed signal processors, in conjunction with the development of high resolution
analog to digital converters and digital to analog converters, has made it possible for RF designers to digitize
higher intermediate frequencies, thus reducing the RF section and enhancing the overall PerFormance of the RF
section.
The continued reduction of integrated circuit feature sizes and
commensurate improvements in device PerFormance are fueling the progress
to higher functionality and new application areas. For example, over the last
15 years, the PerFormance of microprocessors has increased 1000 times.
Analog circuit PerFormance has also improved, albeit at a slower pace. For
example, over the same period the speed/resolution figure-of-merit of
analog-to-digital converters improved by only a factor 10.
When joining Siemens in 2001, I also extended my research interest towards radio net-
work planning methodologies. This area of research brought together my personal interest
in mobile communications and in the design of efficient algorithms and data structures.
Between 2001 and 2003, I participated in the EU project Momentum, which was target-
ing the PerFormance evaluation and optimization of UMTS radio networks. I
The recent developments in full duplex (FD) commu-
nication promise doubling the capacity of cellular networks using
self interference cancellation (SIC) techniques. FD small cells
with device-to-device (D2D) communication links could achieve
the expected capacity of the future cellular networks (5G). In
this work, we consider joint scheduling and dynamic power
algorithm (DPA) for a single cell FD small cell network with
D2D links (D2DLs). We formulate the optimal user selection and
power control as a non-linear programming (NLP) optimization
problem to get the optimal user scheduling and transmission
power in a given TTI. Our numerical results show that using
DPA gives better overall throughput PerFormance than full power
transmission algorithm (FPA). Also, simultaneous transmissions
(combination of uplink (UL), downlink (DL), and D2D occur
80% of the time thereby increasing the spectral efficiency and
network capacity
Providing QoS while optimizing the LTE network in a cost efficient manner is
very challenging. Thus, radio scheduling is one of the most important functions
in mobile broadband networks. The design of a mobile network radio scheduler
holds several objectives that need to be satisfied, for example: the scheduler needs
to maximize the radio PerFormance by efficiently distributing the limited radio re-
sources, since the operator’s revenue depends on it.
The wireless market has experienced a phenomenal growth since the first second-
generation (2G) digital cellular networks, based on global system for mobile
communications (GSM) technology, were introduced in the early 1990s. Since then,
GSM has become the dominant global 2G radio access standard. Almost 80% of today’s
new subscriptions take place in one of the more than 460 cellular networks that use
GSM technology. This growth has taken place simultaneously with the large experienced
expansion of access to the Internet and its related multimedia services.
