Most modern clock and data recovery circuits (CDR) are based on analog blocks that need to be redesigned whenever the technology process is to be changed. On the other hand, CDR based blind oversampling architecture (BO-CDR) can be completely designed in a digital process which makes its migration very simple. The main disadvantages of the BO-CDR that are usually mentioned in a literature are complexity of its digital circuitry and finite phase resolution resulting in larger jitter sensitivity and higher error rate. This thesis will show that those problems can be solved by designing a new algorithm of BO-CDR and subsequent optimization. For this task an FPGA was selected as simulation and verification platform. This enables to change parameters of the optimized circuit in real time while measuring on real links (unlike a simulation using inaccurate link models). The output of this optimization is a new BO-CDR algorithm with heavily reduced complexity and very low error rate. A new FPGA-based method of jitter measurement was developed (primary for CDR analysis), which enables a quick link characterization without using probing or additional equipment. The new method requires only a minimum usage of FPGA resources. Finally, new measurement equipment was developed to measure bit error distribution on FSO links to be able to develop a suitable error correction scheme based on ARQ protocol.

I studien undersöktes huruvida resiliensstärkande faktorer påverkar relationen mellan traumaupplevelser (PTH) och traumasymtom hos svenska ungdomar 15–17 år, relativt individuella traumaupplevelser. Med studien avsågs också påbörja en validering av instrumentet Adolescent Resilience Questionnaire (ARQ) för målgruppen.I urvalet ingick 650 elever och totalt sample för databearbetning var 616 personer, 47.9% flickor, 51.8% pojkar och 0.3% annan könsidentitet.Studien fann inte stöd för att resiliens mätt med ARQ eller anknytningsstil mätt med Relationship Questionnaire (RQ) modererar effekten av PTH på traumasymtom, vilket ej går i linje med fynd från tidigare forskning. Resultat från studiens enkla regressionsanalyser indikerade dock att hög grad av resiliens och trygg anknytningsstil predicerar låg grad av traumasymtom, vilket lånar vikt till att det finns tydliga kopplingar mellan resiliens och utvecklandet av traumasymtom.Inga signifikanta könsskillnader avseende PTH framkom, men signifikanta skillnader med måttlig effekt återfanns avseende traumasymtom och resiliensstärkande faktorer. Pojkar uppvisade fler resiliensstärkande faktorer, medan flickor uppvisade fler traumasymtom, vilket går i linje med tidigare forskning.Undersökning av den interna strukturen i ARQ genomfördes med en konfirmatorisk faktorsanalys, där föreliggande studie finner bristande passform vid användandet av ARQ i en svensk kontext. Författarna uppmanar framtida forskare att vidare utforska och anpassa ARQ till en svensk normgrupp.

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Due to the highly-varying wireless channels over time, frequency, and space domains, statistical QoS provisioning, instead of deterministic QoS guarantees, has become a recognized feature in the next-generation wireless networks. In this dissertation, we study the adaptive wireless resource allocation problems for statistical QoS provisioning, such as guaranteeing the specified delay-bound violation probability, upper-bounding the average loss-rate, optimizing the average goodput/throughput, etc., in several typical types of mobile wireless networks. In the first part of this dissertation, we study the statistical QoS provisioning for mobile multicast through the adaptive resource allocations, where different multicast receivers attempt to receive the common messages from a single base-station sender over broadcast fading channels. Because of the heterogeneous fading across different multicast receivers, both instantaneously and statistically, how to design the efficient adaptive rate control and resource allocation for wireless multicast is a widely cited open problem. We first study the time-sharing based goodput-optimization problem for non-realtime multicast services. Then, to more comprehensively characterize the QoS provisioning problems for mobile multicast with diverse QoS requirements, we further integrate the statistical delay-QoS control techniques — effective capacity theory, statistical loss-rate control, and information theory to propose a QoS-driven optimization framework. Applying this framework and solving for the corresponding optimization problem, we identify the optimal tradeoff among statistical delay-QoS requirements, sustainable traffic load, and the average loss rate through the adaptive resource allocations and queue management. Furthermore, we study the adaptive resource allocation problems for multi-layer video multicast to satisfy diverse statistical delay and loss QoS requirements over different video layers. In addition, we derive the efficient adaptive erasure-correction coding scheme for the packet-level multicast, where the erasure-correction code is dynamically constructed based on multicast receivers’ packet-loss statuses, to achieve high error-control efficiency in mobile multicast networks. In the second part of this dissertation, we design the adaptive resource allocation schemes for QoS provisioning in unicast based wireless networks, with emphasis on statistical delay-QoS guarantees. First, we develop the QoS-driven time-slot and power allocation schemes for multi-user downlink transmissions (with independent messages) in cellular networks to maximize the delay-QoS-constrained sum system throughput. Second, we propose the delay-QoS-aware base-station selection schemes in distributed multiple-input-multiple-output systems. Third, we study the queueaware spectrum sensing in cognitive radio networks for statistical delay-QoS provisioning. Analyses and simulations are presented to show the advantages of our proposed schemes and the impact of delay-QoS requirements on adaptive resource allocations in various environments.

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This thesis presents a cross-layer design and optimization for emerging wideband wireless networks supporting multimedia applications, considering the interactions of the wireless channel characteristics, the physical and link layer protocols, and the user-perceived Quality-of-Service (QoS). As wireless channels are error-prone and broadcast in nature, both the error control mechanisms and the Media Access Control (MAC) protocols are critical for resource utilization and QoS provisioning. How to analyze, design and optimize the high-rate wireless networks by considering the characteristics of the propagation channels and wideband communication technologies is an open, challenging issue. In this thesis, we consider two important wideband wireless systems, the Ultra-Wideband (UWB) and the Orthogonal Frequency-Division Multiplexing (OFDM) systems. First, we propose the packet-level channel models based on Finite State Markov Chains (FSMCs) for the two systems, which present the statistical properties of the propagation channels and the transmission systems. Second, by incorporating the proposed packet-level channel models, we develop analytical frameworks for quantifying the performance of the high-rate wireless networks, combining the channel fading, physical- and link-layer error-control mechanisms and MAC protocols. Third, to mitigate the impact of channel fading and impairments, a cross-layer joint error-control mechanism is proposed. In addition, we also investigate the impact of channel fading on the video streaming applications, and propose a simple admission control algorithm to ensure QoS. As considering the physical-layer characteristics is critical for ensuring QoS and efficiency of resource utilization, the packet-level channel models, cross-layer analytical frameworks, networking protocols and simulation methodologies proposed in this dissertation are essential for future proliferation of high-rate wireless networks.

IEEE 802.11 wireless LANs operating in the infrastructure mode are extremely popular and have seen widespread deployment because of their convenience and cost efficiency. A large number of research studies have investigated the performance of DCF, the default MAC protocol in 802.11 WLANs. Previous studies have pointed out several performance problems caused by the interaction of DCF in infrastructure-based WLANs. This thesis addresses a few of these issues. In the first part of the thesis, we address the issue of head-of-line (HOL) blocking at the Access Point (AP) in infrastructure WLANs. We use a cooperative ARQ scheme to resolve the obstruction at the AP queue. We analytically study the performance of our scheme in a single cell IEEE 802.11 infrastructure WLAN under a TCP controlled file download scenario and validate our analysis by extensive simulations. Both analysis and simulation results show considerable increase in system throughput with the cooperative ARQ scheme. We further examine the delay performance of the ARQ scheme in the presence of both elastic TCP traffic and delay sensitive VoIP traffic. Simulations results show that our scheme decreases the delay in the downlink for VoIP packets significantly while simultaneously providing considerable gains in the TCP download throughput. Next, we propose a joint uplink/downlink opportunistic scheduling scheme for maximising system throughput in infrastructure WLANs. We first solve the uplink/downlink unfairness that exists in infrastructure WLANs by maintaining a separate queue and a backoff timer at the AP for each mobile station (STA). We also increase the system throughput by making the backoff timer a function of the channel gains. We analyse the I performance of our scheme under symmetric UDP traffic with i. i. d. channel conditions. Finally, we discuss several opportunistic scheduling policies which aim to increase the system throughput while satisfying certain Quality of Service (QoS) objectives. The standard IEEE 802.11 DCF protocol only offers best-effort services and does not provide any QoS guarantees. Providing QoS in 802.11 networks with time varying channel conditions has proven to be a challenge. We show by simulations that by an appropriate choice of the scheduling metric in our opportunistic scheduling scheme, different QOS objectives like maximizing weighted system sum throughput, minimum rate guarantees and throughput optimality can be attained.