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RSSI and throughput evaluation of an LTE system using a distributed MIMO antenna with a site specific channel propagation modelDama, Yousef A.S., Anoh, Kelvin O.O., Asif, Rameez, Abd-Alhameed, Raed, Jones, Steven M.R., Ghazaany, Tahereh S., Zhu, Shaozhen (Sharon), Excell, Peter S. January 2013 (has links)
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Theory and implementation of scalable, retrodirective distributed arraysPeiffer, Benjamin Michael 01 May 2017 (has links)
A Distributed Multi-Input Multi-Output (DMIMO) system consists of many transceivers coordinating themselves into a "virtual antenna array" in order to emulate MIMO capabilities. In recent years, the field of research investigating DMIMO Communications has grown substantially. DMIMO systems offer all of the same benefits of standard MIMO systems on a larger scale because arrays are not limited by the physical constraint of placing many antennas on a single transceiver. This additional benefit does come at a cost, however. Since nodes are distributed and run from independent clock signals and with unknown geometry, each one must its own obtain channel state information (CSI) to the target nodes. In existing DMIMO architectures, array nodes depend on feedback from target nodes to properly synchronize. This means that target nodes must be cooperative and are responsible for the overhead calculating and transmitting CSI feedback to each node in the array.
Within this work, we develop a set of techniques for Retrodirective Distributed Antenna Arrays. Retrodirective arrays have traditionally been used to direct a beam towards a target node, but the work in this thesis seeks to develop a more generalized definition of retrodirectivity. By our definition, a retrodirective array is one that acquires CSI to one or more intended targets simply by listening to the incoming transmissions of those targets; the array may subsequently use this information to do any number of typical MIMO tasks (i.e., beamforming, nullforming, spatial multiplexing, etc.). We explore two primary techniques: i) distributed beamforming and ii) distributed nullforming. Beamforming involves focusing transmitted power towards a specific target node and nullforming involves directing transmissions of array nodes to cancel one another at a specific target node. We focus on these techniques because they can be thought of as basic building blocks for more sophisticated DMIMO techniques.
We first develop the theory for retrodirective arrays. Then, we present an architecture for the implementation of this theory. Specifically, we focus on the pre-synchronization of the array, which involves use of a master/slave architecture and a timeslotted message exchange among the array nodes. Finally, developing algorithms to make these arrays both robust and scalable is the focus of this thesis.
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Design of concurrent cooperative transmission systems on software-defined radiosChang, Yong Jun 13 January 2014 (has links)
Concurrent cooperative transmission (CCT) occurs when a collection of power-constrained single-antenna radios transmit simultaneously to form a distributed multi-input and multi-output (DMIMO) link. DMIMO can be a means for highly reliable and low-latency cooperative routing, when the MIMO channel is exploited for transmit and receive diversity; in this context, the range extension benefit is emphasized. Alternatively, DMIMO can be a means for high-throughput ad hoc networking, when the MIMO channel is used with spatial multiplexing. In both cases, concatenated DMIMO links are treated.
The key contribution of this dissertation is a method of pre-synchronization of distributed single-antenna transmitters to form a virtual antenna array, in the absence of a global clock, such as a global positioning system (GPS) receiver or a network time protocol (NTP) to provide reference signals for the synchronization. Instead, the reference for synchronization comes from a packet, transmitted by the previous virtual array and simultaneously received by all the cooperative transmitters for the next hop. The method is realized for two types of modulation: narrowband non-coherent binary frequency-shift keying (NCBFSK) and wideband orthogonal frequency division multiplexing (OFDM). The pre-synchronization algorithms for transmission are designed to minimize the root-mean-square (RMS) transmit time, sampling and carrier frequency error between cooperative transmitters, with low implementation complexity.
Since CCT is not supported by any existing standard or off-the-shelf radios, CT must be demonstrated by using software-defined radios (SDRs). Therefore, another contribution is a fully self-contained and real-time SDR testbed for CCT-based networking. The NCBFSK and OFDM systems have been designed and implemented in C++ and Python programming languages in the SDR testbed, providing practical performance of the CCT-based systems.
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Assessment of Exposure to Electromagnetic Fields from Distributed MIMO Antennas / Bedömning av elektromagnetisk exponering från distribuerade MIMO antennerNyberg Zou, Frans January 2022 (has links)
Research on 6G telecommunication networks has been initiated. Among all potential technology components, the distributed multi-input multioutput (D-MIMO) technology is one of the promising enablers. Due to the new technology solutions, additional methodologies for assessment of electromagnetic field (EMF) exposure need to be developed. This study provides methodologies and results for EMF exposure from D-MIMO operating at 3.5 GHz in an indoor industrial environment using CST Studio Suite®. The D-MIMO access points (APs) are mounted on the 7 m ceiling. The EMF exposure is statistically evaluated in a subvolume that extends up to 2.5 m above the floor, using receiving antennas that are pseudorandomly distributed over space. The resulting EMF exposure levels of DMIMO were compared to those of a ceiling-mounted reference massive MIMO array, considering different receiving antenna orientations and AP densities. The results from zero forcing (ZF) precoding were compared to those based on maximum ratio transmission (MRT) precoding. For a total radiated power of 1 W, the 99th-percentile power density values in the D-MIMO deployment are found to be 2.9 mW/m2 or lower, in all studied cases using the MRT-based precoding. This is about 0.03 % of the EMF exposure limits for the general public specified in international guidelines. The corresponding results from the reference massive MIMO array are found to be 7.7 mW/m2 or lower. In the ZF precoding case, the total radiated power and the EMF exposure levels are reduced and the reduction in the D-MIMO deployment is found greater than the reduction in the massive MIMO array. At the 99th-percentile, the power density value is found to be 0.090 mW/m2 in one of the cases of D-MIMO deployment and 5.1 mW/m2 in the corresponding case with the massive MIMO array. The effects of receiving antenna orientations and AP density on the EMF exposure levels are found to be small. This work benefits further studies by providing estimates of realistic EMF exposure and by demonstrating a simulation method for EMF exposure assessment for D-MIMO. / Forskning inom 6G har påbörjats. Bland de möjliga teknologierna för 6G är distribuerad multi-input multi-output (D-MIMO) ett lovande koncept som möjliggör 6G. På grund av den nya teknologin förväntas nya metoder behövas för bedömning av exponering för elektromagnetiska fält. I denna studie utvecklades och användes metoder för simulering av elektromagnetisk exponering från D-MIMO på frekvensen 3.5 GHz i en industriell inomhusmiljö i CST Studio Suite®. En statistisk behandling av exponeringsnivåer utfördes för pseudoslumpmässiga fördelningar av mottagarantenner. Antennerna i nätverket var placerade intill taket på 7 meters höjd och exponeringsnivån mättes i en delvolym som sträcker sig från golvet till 2.5 m höjd. Jämförelser gjordes med massiv MIMO som referens, och mellan olika vinklar hos mottagarantenner och tätheter av uppkopplingspunkter i nätverket. Antennloberna riktades med zero forcing (ZF) och en metod baserad på maximum ratio transmission (MRT). Med MRT och en total utsänd effekt på 1 W, var 99th-percentilen för elektromagnetisk fältintensitet från D-MIMO 2.9 mW/m2 eller lägre i alla studerade fall, vilket är 0.03 % av den internationella referensnivån för elektromagnetisk exponering. Motsvarande nivå för massiv MIMO var 7.7 mW/m2 eller lägre. Med ZF reducerades den totala utsända effekten och reduktionen i exponeringsnivån var större för D-MIMO än för massiv MIMO. I ett av de studerade fallen var 99th-percentilen från D-MIMO 0.090 mW/m2 , och motsvarande nivå för massivt MIMO var 5.1 mW/m2 eller lägre, Effekterna av vinklar hos mottagarantenner och tätheter av uppkopplingspunkter var liten. Detta arbete bidrar till framtida studier inom ämnet genom att ange uppskattningar av realistiska exponeringsnivåer och genom att demonstrera en metod för simulering av exponeringsnivåer för D-MIMO.
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Leveraging Infrastructure to Enhance Wireless NetworksYenamandra Guruvenkata, Vivek Sriram Yenamandra 23 October 2017 (has links)
No description available.
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Adaptive Resource Allocation for Statistical QoS Provisioning in Mobile Wireless Communications and NetworksDu, Qinghe 2010 December 1900 (has links)
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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Cooperative wireless channel characterization and modeling: application to body area and cellular networksLiu, Lingfeng 23 March 2012 (has links)
Cooperative wireless communication is an attractive technique to explore the spatial channel resources by coordination across multiple links, which can greatly improve the communication performance over single links. In this dissertation, we study the cooperative multi-link channel properties by geometric approaches in body area networks (BANs) and cellular networks respectively.<p><p>In the part of BANs, the dynamic narrowband on-body channels under body motions are modeled statistically on their temporal and spatial fading based on anechoic and indoor measurements. Common body scattering is observed to form inter-link correlation between links closely distributed and between links having synchronized movements of communication nodes. An analytical model is developed to explain the physical mechanisms of the dynamic body scattering. The on-body channel impacts to simple cooperation protocols are evaluated based on realistic measurements. <p><p>In the part of cellular networks, the cluster-level multi-link COST 2100 MIMO channel model is developed with concrete modeling concepts, complete parameterization and implementation methods, and a compatible structure for both single-link and multi-link scenarios. The cluster link-commonness is introduced to the model to describe the multi-link properties. The multi-link impacts by the model are also evaluated in a distributed MIMO system by comparing its sum-rate capacity at different ratios of cluster link-commonness. / Doctorat en Sciences de l'ingénieur / info:eu-repo/semantics/nonPublished
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