29 research outputs found
Advances in parameter estimation, source enumeration, and signal identification for wireless communications
Parameter estimation and signal identification play an important role in modern wireless
communication systems. In this thesis, we address different parameter estimation
and signal identification problems in conjunction with the Internet of Things (IoT),
cognitive radio systems, and high speed mobile communications.
The focus of Chapter 2 of this thesis is to develop a new uplink multiple access
(MA) scheme for the IoT in order to support ubiquitous massive uplink connectivity
for devices with sporadic traffic pattern and short packet size. The proposed uplink
MA scheme removes the Media Access Control (MAC) address through the signal
identification algorithms which are employed at the gateway.
The focus of Chapter 3 of this thesis is to develop different maximum Doppler
spread (MDS) estimators in multiple-input multiple-output (MIMO) frequency-selective
fading channel. The main idea behind the proposed estimators is to reduce the computational
complexity while increasing system capacity.
The focus of Chapter 4 and Chapter 5 of this thesis is to develop different antenna
enumeration algorithms and signal-to-noise ratio (SNR) estimators in MIMO timevarying
fading channels, respectively. The main idea is to develop low-complexity
algorithms and estimators which are robust to channel impairments.
The focus of Chapter 6 of this thesis is to develop a low-complexity space-time
block codes (STBC)s identification algorithms for cognitive radio systems. The goal
is to design an algorithm that is robust to time-frequency transmission impairments
Proceedings of the Second International Mobile Satellite Conference (IMSC 1990)
Presented here are the proceedings of the Second International Mobile Satellite Conference (IMSC), held June 17-20, 1990 in Ottawa, Canada. Topics covered include future mobile satellite communications concepts, aeronautical applications, modulation and coding, propagation and experimental systems, mobile terminal equipment, network architecture and control, regulatory and policy considerations, vehicle antennas, and speech compression
Physical and Link Layer Implications in Vehicle Ad Hoc Networks
Vehicle Ad hoc Networks (V ANET) have been proposed to provide safety on the
road and deliver road traffic information and route guidance to drivers along with
commercial applications. However the challenges facing V ANET are numerous. Nodes
move at high speeds, road side units and basestations are scarce, the topology is
constrained by the road geometry and changes rapidly, and the number of nodes peaks
suddenly in traffic jams. In this thesis we investigate the physical and link layers of
V ANET and propose methods to achieve high data rates and high throughput.
For the physical layer, we examine the use of Vertical BLAST (VB LAST) systems
as they provide higher capacities than single antenna systems in rich fading
environments. To study the applicability of VB LAST to VANET, a channel model was
developed and verified using measurement data available in the literature. For no to
medium line of sight, VBLAST systems provide high data rates. However the
performance drops as the line of sight strength increases due to the correlation between
the antennas. Moreover, the performance of VBLAST with training based channel
estimation drops as the speed increases since the channel response changes rapidly. To
update the channel state information matrix at the receiver, a channel tracking algorithm
for flat fading channels was developed. The algorithm updates the channel matrix thus
reducing the mean square error of the estimation and improving the bit error rate (BER).
The analysis of VBLAST-OFDM systems showed they experience an error floor due to
inter-carrier interference (lCI) which increases with speed, number of antennas
transmitting and number of subcarriers used. The update algorithm was extended to
VBLAST -OFDM systems and it showed improvements in BER performance but still
experienced an error floor. An algorithm to equalise the ICI contribution of adjacent
subcarriers was then developed and evaluated. The ICI equalisation algorithm reduces
the error floor in BER as more subcarriers are equalised at the expense of more
hardware complexity.
The connectivity of V ANET was investigated and it was found that for single lane
roads, car densities of 7 cars per communication range are sufficient to achieve high
connectivity within the city whereas 12 cars per communication range are required for
highways. Multilane roads require higher densities since cars tend to cluster in groups.
Junctions and turns have lower connectivity than straight roads due to disconnections at
the turns. Although higher densities improve the connectivity and, hence, the
performance of the network layer, it leads to poor performance at the link layer. The
IEEE 802.11 p MAC layer standard under development for V ANET uses a variant of
Carrier Sense Multiple Access (CSMA). 802.11 protocols were analysed
mathematically and via simulations and the results prove the saturation throughput of
the basic access method drops as the number of nodes increases thus yielding very low
throughput in congested areas. RTS/CTS access provides higher throughput but it
applies only to unicast transmissions. To overcome the limitations of 802.11 protocols,
we designed a protocol known as SOFT MAC which combines Space, Orthogonal
Frequency and Time multiple access techniques. In SOFT MAC the road is divided into
cells and each cell is allocated a unique group of subcarriers. Within a cell, nodes share
the available subcarriers using a combination of TDMA and CSMA. The throughput
analysis of SOFT MAC showed it has superior throughput compared to the basic access
and similar to the RTS/CTS access of 802.11
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Intelligent genetic algorithms for next-generation broadband multi-carrier CDMA wireless networks
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.This dissertation proposes a novel intelligent system architecture for next-generation broadband multi-carrier CDMA wireless networks. In our system, two novel and similar intelligent genetic algorithms, namely Minimum Distance guided GAs (MDGAs) are invented for both peak-to-average power ratio (PAPR) reduction at the transmitter side and multi-user detection (MUD) at the receiver side. Meanwhile, we derive a theoretical BER performance analysis for the proposed MC-CDMA system in A WGN channel. Our analytical results show that the theoretical BER performance of synchronized MC-CDMA system is the same as that of the synchronized DS-CDMA system which is also used as a theoretical guidance of our novel MUD receiver design. In contrast to traditional GAs, our MDGAs start with a balanced ratio of exploration and exploitation which is maintained throughout the process. In our algorithms, a new replacement strategy is designed which increases significantly the convergence rate
and reduces dramatically computational complexity as compared to the conventional GAs. The simulation results demonstrate that, if compared to those schemes using exhaustive search and traditional GAs, (1) our MDGA-based P APR reduction scheme achieves 99.52% and 50+% reductions in computational complexity, respectively; (2)
our MDGA-based MUD scheme achieves 99.54% and 50+% reductions in computational complexity, respectively. The use of one core MDGA solution for both issues can ease the hardware design and dramatically reduce the implementation cost in practice
Solutions for large scale, efficient, and secure Internet of Things
The design of a general architecture for the Internet of Things (IoT) is a complex task, due to the heterogeneity of devices, communication technologies, and applications that are part of such systems. Therefore, there are significant opportunities to improve the state of the art, whether to better the performance of the system, or to solve actual issues in current systems. This thesis focuses, in particular, on three aspects of the IoT. First, issues of cyber-physical systems are analysed. In these systems, IoT technologies are widely used to monitor, control, and act on physical entities. One of the most important issue in these scenarios are related to the communication layer, which must be characterized by high reliability, low latency, and high energy efficiency. Some solutions for the channel access scheme of such systems are proposed, each tailored to different specific scenarios. These solutions, which exploit the capabilities of state of the art radio transceivers, prove effective in improving the performance of the considered systems. Positioning services for cyber-physical systems are also investigated, in order to improve the accuracy of such services. Next, the focus moves to network and service optimization for traffic intensive applications, such as video streaming. This type of traffic is common amongst non-constrained devices, like smartphones and augmented/virtual reality headsets, which form an integral part of the IoT ecosystem. The proposed solutions are able to increase the video Quality of Experience while wasting less bandwidth than state of the art strategies. Finally, the security of IoT systems is investigated. While often overlooked, this aspect is fundamental to enable the ubiquitous deployment of IoT. Therefore, security issues of commonly used IoT protocols are presented, together with a proposal for an authentication mechanism based on physical channel features. This authentication strategy proved to be effective as a standalone mechanism or as an additional security layer to improve the security level of legacy systems