Distributed field estimation in wireless sensor networks

This work takes into account the problem of distributed estimation of a physical field of interest through a wireless sesnor networks

Distributed field estimation in wireless sensor networks

This work takes into account the problem of distributed estimation of a physical field of interest through a wireless sesnor networks

Multi-User Signal and Spectra Coordination for Digital Subscriber Lines

The appetite amongst consumers for ever higher data-rates seems insatiable. This booming market presents a huge opportunity for telephone and cable operators. It also presents a challenge: the delivery of broadband services to millions of customers across sparsely populated areas. Fully fibre-based networks, whilst technically the most advanced solution, are prohibitively expensive to deploy. Digital subscriber lines (DSL) provide an alternative solution. Seen as a stepping-stone to a fully fibre-based network, DSL operates over telephone lines that are already in place, minimizing the cost of deployment. The basic principle behind DSL technology is to increase data-rate by widening the transmission bandwidth. Unfortunately, operating at high frequencies, in a medium originally designed for voice-band transmission, leads to crosstalk between the different DSLs. Crosstalk is typically 10-15 dB larger than the background noise and is the dominant source of performance degradation in DSL. This thesis develops practical multi-user techniques for mitigating crosstalk in DSL. The techniques proposed have low complexity, low latency, and are compatible with existing customer premises equipment (CPE). In addition to being practical, the techniques also yield near-optimal performance, operating close to the theoretical multi-user channel capacity. Multi-user techniques are based on the coordination of the different users in a network, and this can be done on either a spectral or signal level

Dynamic channel allocation in satellite and wireless networks

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.Includes bibliographical references (p. 161-165).The objective of this thesis is to understand how to utilize wireless channels in a fair and efficient manner within a multi-users communication environment. We start by exploring the allocation of a single wireless downlink fading channel among competing users. The allocation of a single uplink multiacccess fading channel is studied as well. With multiple parallel fading channels, a MAC protocol based on pricing is proposed to allocate network resource according to users' demand. We also investigate the use of parallel transmissions and redundant packets to reduce the file transmission delay. Specifically, we develop a novel auction-based algorithm to allow users to fairly compete for a downlink wireless fading channel. We first use the second-price auction mechanism whereby user bids for the channel, during each time-slot, based on the fade state of the channel, and the user that makes the highest bid wins use of the channel by paying the second highest bid. Under the assumption that each user has a limited budget for bidding, we show the existence of a Nash equilibrium strategy. And the Nash equilibrium leads to a unique allocation for certain channel state distribution. We also show that the Nash equilibrium strategy leads to an allocation that is pareto optimal. We also investigate the use of another auction mechanism, the all-pay auction, in allocating a single downlink channel. A unique Nash equilibrium is shown to exist. We also show that the Nash equilibrium strategy achieves a throughput allocation for each user that is proportional to the user's budget For the uplink of a wireless channel, we present a game-theoretical model of a wireless communication system with multiple competing users sharing a multiaccess fading channel.(cont.) With a specified capture rule and a limited amount of energy available, a user opportunistically adjusts its transmission power based on its own channel state to maximize the user's own individual throughput. We derive an explicit form of the Nash equilibrium power allocation strategy. Furthermore, as the number of users in the system increases, the total system throughput obtained by using a Nash equilibrium strategy approaches the maximum attainable throughput. In a communication scenario where multiple users sharing a set of multiple parallel channels to communicate with multiple satellites, we propose a novel MAC protocol based on pricing that allocates network resources efficiently according to users' demand. We first characterize the Pareto efficient throughput region (i.e., the achievable throughput region). The equilibrium price, where satellite achieve its objective and users maximize their payoffs, is shown to exist and is unique. The resulting throughput at the equilibrium is shown to be Pareto efficient. Finally, we explore how a user can best utilize the available parallel channels to reduce the delay in sending a file to the base-station or satellite. We study the reduction of the file delay by adding redundant packets (i.e., coding). Our objective here is to characterize the delay and coding tradeoff in a single flow case. We also want to address the question whether coding will help to reduce delay if every user in the system decides to add redundancy for its file transmission.by Jun Sun.Ph.D

PERFORMANCE LIMITS FOR ENERGY-CONSTRAINED COMMUNICATION SYSTEMS

Ph.DDOCTOR OF PHILOSOPH

GAME THEORETIC APPROACH TO RADIO RESOURCE MANAGEMENT ON THE REVERSE LINK FOR MULTI-RATE CDMA WIRELESS DATA NETWORKS

This work deals with efficient power and rate assignment to mobile stations (MSs) involved in bursty data transmission in cellular CDMA networks. Power control in the current CDMA standards is based on a fixed target signal quality called signal to interference ratio (SIR). The target SIR represents a predefined frame error rate (FER). This approach is inefficient for data-MSs because a fixed target SIR can limit the MS's throughput. Power control should thus provide dynamic target SIRs instead of a fixed target SIR. In the research literature, the power control problem has been modeled using game theory. A limitation of the current literature is that in order to implement the algorithms, each MS needs to know information such as path gains and transmission rates of all other MSs. Fast rate control schemes in the evolving cellular data systems such as cdma2000-1x-EV assign transmission rates to MSs using a probabilistic approach. The limitation here is that the radio resources can be either under or over-utilized. Further, all MSs are not assigned the same rates. In the schemes proposed in the literature, only few MSs, which have the best channel conditions, obtain all radio resources. In this dissertation, we address the power control issue by moving the computation of the Nash equilibrium from each MS to the base station (BS). We also propose equal radio resource allocation for all MSs under the constraint that only the maximum allowable radio resources are used in a cell. This dissertation addresses the problem of how to efficiently assign power and rate to MSs based on dynamic target SIRs for bursty transmissions. The proposed schemes in this work maximize the throughput of each data-MS while still providing equal allocation of radio resources to all MSs and achieving full radio resource utilization in each cell. The proposed schemes result in power and rate control algorithms that however require some assistance from the BS. The performance evaluation and comparisons with cdma2000-1x-Evolution Data Only (1x-EV-DO) show that the proposed schemes can provide better effective rates (rates after error) than the existing schemes

Femtocellular Aspects on UMTS Architecture Evolution

Recent advancement in System Architecture Evolution (SAE) has opened the door for the deployment of femtocells on a large scale. Deployment of femtocells in the existing macrocell networks and in 4G networks will significantly increase because femtocell offers increase coverage and capacity in both home and office environments. Hence it is likely that these low-power home based access points are going to change the landscape of mobile technology and the networking business in the coming years. This thesis work offers a deep insight into the mobile communication system architecture evolution and typically explains femtocellular aspects in the evolution of Universal Mobile Telecommunication System (UMTS) architecture. This research work mainly focuses on architectural variations of 3G and 4G femtocells along with the operational functionality of Local IP Access (LIPA). LIPA introduces the functionality in femtocells to access a home Local Area Network (LAN) and enable customers to use the Internet through Internet-enabled devices. Hence users have the capability to have simultaneous access to the operator's network as well as having access to their own home LAN. The way LIPA works is explained How it can create problems for femtocells deployment and what solutions LIPA offers for providing easy femtocell configurations. With the help of the extensive study about LIPA-enabled femtocells, different scenarios are discussed and two different solutions are proposed both for 3G and 4G femtocells. For maintaining higher data rates, 3G and 4G systems require a good coverage area to increase system performance. But research results suggest that two-thirds of consumers suffer from inadequate indoor signal penetration which actually leads to poor coverage for consumers, who do not enjoy the full data capacity as guaranteed. 4G systems will facilitate high speed data services, but poor coverage and interference will definitely diminish the quality of real-time applications and will significantly slow down high speed data services. The aim of this thesis is to propose di_erent logical indoor 4G femtocell architectures based on 3GPP specifications that will also be capable of providing LIPA functionality