Increasing throughput in IEEE 802.11 by optimal selection of backoff parameters

Engineering and Physical Sciences Research Council. Grant Number: EP/G012628/

Towards an Improved Model for 65-nm CMOS at Cryogenic Temperatures

Cryogenic CMOS is a crucial subcomponent of quantum-technological applications, particularly as control electronics for quantum computers. Simulation is an important first step in designing any CMOS circuit. However, the standard BSIM4.5 model is only applicable for temperatures between 230 K and 420 K. In this work, N-type MOSFETs with different dimensions in a 65-nm CMOS technology were characterized at room temperature and liquid helium temperature (4.2 K). These measurements were compared with corresponding simulations from the BSIM4.5 model. A model of drain current in the triode region was constructed, where key parameters, such as threshold voltage and effective mobility, were modified. By adjusting these temperature-dependent parameters, the modified model predicted the triode region currents with an error reduced to 7.6%. Thus, the modified model can be utilized to simulate transistor behavior in the triode region at cryogenic temperatures

A utility based framework for optimal network measurement

Packet level measurement is now routinely used to evaluate the loss and delay performance of broadband networks. In active measurement, probe packets provide samples of the loss and delay and from these samples the performance of the traffic as a whole can be deduced. However this is prone to errors: inaccuracy due to taking insufficient samples, self-interference due to injecting too many probe packets, and possible sample-correlation induced bias. In this paper we consider the optimisation of probing rate by treating all measurements as numerical experiments which can be optimally designed by using the statistical principles of design of experiments. We develop an analytical technique that quantifies an overall utility function associated with: (i) the disruption caused per probe packet, (ii) the bias and (iii) the variance as a function of the probing (sampling) rate. Our numerical results show that the optimal probing rate depends strongly on what parameter the network engineer seeks to measure.</p

Proximity as a Service for the Use Case of Access Enhancement via Cellular​ Network-Assisted Mobile​Device-to-Device

Device-to-Device (D2D) communication is a way to treat the User Equipments (UEs) not as terminals, but as a part of the network (helpers) for service provisioning. We propose a generic framework, namely Proximity as a Service (PaaS), formulate the helper selection problem, and design and prove a heuristic helper selection policy, ContAct based Proximity (CAP), which increases the service connectivity and continuity. Design Of Experiment (DOE) is a statistical methodology that rigorously designs and conducts an experiment, and maximizes the information obtained from that experiment. We apply DOE to explore the relationship (analytic expression) between four inputs (factors) and four metrics (responses). Since different factors have different regression levels, a unified four level full factorial experiment and cubic multiple regression analysis have been carried out. Multiple regression equations are provided to estimate the different contributions and the interactions between factors. Results show that transmission range and user density are dominant and monotonically increasing, but transmission range should be restricted because of interference and energy-efficiency. After obtaining the explicit close form expressions between factors and responses, optimal values of key factors are derived. A methodology (the e-constraint method) to solve the multiple-objective optimization problem has been provided and a Pareto-Optimal set of factors has been found through iteration. The fluctuation of the iterations is small and a specific solution can be chosen based on the particular scenarios (city center or countryside with different user density). The methodology of optimization informs the design rules of the operator, helping to find the optimal networking solution

CAP: A ContAct based Proximity Service via Opportunistic Device-to-Device Relay

The research progress of 5G has brought a number of novel technologies to meet the multi-dimensional demands. Device-to-Device (D2D) communication is a way to no longer treat the User Equipments (UEs) as terminal, but rather as a part of network (known as helpers) for service provisioning. Such a way potentially increases the coverage and also expands the capacity of cellular network. In this paper, we propose a generic framework for Proximity as a Service (PaaS) with demands of service continuity, namely ContAct based Proximity (CAP) via opportunistic D2D communication. Mainly, fruitful contact information (e.g., contact duration, frequency and interval) is captured as a key metric, to handle an ubiquitous and PaaS through the optimal selection of helpers. The nature of CAP is evaluated under the Helsinki city scenario, with key factors influencing the service demands (e.g., success ratio, disruption duration and frequency). Simulation results show the advantage of CAP, in both success ratio and continuity of the service. This work is the first one to evaluate LTE-Direct and WiFi-Direct in opportunistic proximity services

Optimal design of measurements on queueing systems

We examine the optimal design of measurements on queues with particular reference to the M/M/1 queue. Using the statistical theory of design of experiments, we calculate numerically the Fisher information matrix for an estimator of the arrival rate and the service rate to find optimal times to measure the queue when the number of measurements are limited for both interfering and non-interfering measurements. We prove that in the non-interfering case, the optimal design is equally spaced. For the interfering case, optimal designs are not necessarily equally spaced. We compute optimal designs for a variety of queuing situations and give results obtained under the $D-$- and $D_s$-optimality criteria