Mixed Delay Constraints at Maximum Sum-Multiplexing Gain

International audienceCoding schemes are proposed for Wyner's soft-handoff model and for the sectorized hexagonal model when some of the messages are delay-sensitive and cannot profit from transmitter or receiver cooperation. For the soft-handoff network we also provide a converse. It matches the multiplexing-gain achieved by our scheme when the multiplexing gain of the delay-sensitive messages is low or moderate or when the cooperation links have high capacities. In these cases, the sum-multiplexing gain is the same as if only delay-tolerant messages (which can profit from cooperation) were sent. A similar conclusion holds for the sectorized hexagonal model, when the capacities of the cooperation links are large

Resource management with adaptive capacity in C-RAN

This work was supported in part by the Spanish ministry of science through the projectRTI2018-099880-B-C32, with ERFD funds, and the Grant FPI-UPC provided by theUPC. It has been done under COST CA15104 IRACON EU project.Efficient computational resource management in 5G Cloud Radio Access Network (CRAN) environments is a challenging problem because it has to account simultaneously for throughput, latency, power efficiency, and optimization tradeoffs. This work proposes the use of a modified and improved version of the realistic Vienna Scenario that was defined in COST action IC1004, to test two different scale C-RAN deployments. First, a large-scale analysis with 628 Macro-cells (Mcells) and 221 Small-cells (Scells) is used to test different algorithms oriented to optimize the network deployment by minimizing delays, balancing the load among the Base Band Unit (BBU) pools, or clustering the Remote Radio Heads (RRH) efficiently to maximize the multiplexing gain. After planning, real-time resource allocation strategies with Quality of Service (QoS) constraints should be optimized as well. To do so, a realistic small-scale scenario for the metropolitan area is defined by modeling the individual time-variant traffic patterns of 7000 users (UEs) connected to different services. The distribution of resources among UEs and BBUs is optimized by algorithms, based on a realistic calculation of the UEs Signal to Interference and Noise Ratios (SINRs), that account for the required computational capacity per cell, the QoS constraints and the service priorities. However, the assumption of a fixed computational capacity at the BBU pools may result in underutilized or oversubscribed resources, thus affecting the overall QoS. As resources are virtualized at the BBU pools, they could be dynamically instantiated according to the required computational capacity (RCC). For this reason, a new strategy for Dynamic Resource Management with Adaptive Computational capacity (DRM-AC) using machine learning (ML) techniques is proposed. Three ML algorithms have been tested to select the best predicting approach: support vector machine (SVM), time-delay neural network (TDNN), and long short-term memory (LSTM). DRM-AC reduces the average of unused resources by 96 %, but there is still QoS degradation when RCC is higher than the predicted computational capacity (PCC). For this reason, two new strategies are proposed and tested: DRM-AC with pre-filtering (DRM-AC-PF) and DRM-AC with error shifting (DRM-AC-ES), reducing the average of unsatisfied resources by 99.9 % and 98 % compared to the DRM-AC, respectively

Cooperative Communications with Partial Channel State Information in Mobile Radio Systems

Future 4G mobile radio cellular networks are considered OFDM-MIMO systems. Cooperative communication based on coordinated base stations is a very promising concept to perform inter-cell interference management. This thesis deals with the concept of cooperative communication from its information-theoretic background to its practical system design. The main focus is a practical design of the joint detection scheme in the uplink and the joint transmission scheme in the downlink with partial channel-state information (CSI), i.e., significant CSI and imperfect CSI.Zukünftige zellulare 4G-Mobilfunksysteme können als OFDM-MIMO-Systeme betrachtet werden. In solchen zukünftigen Mobilfunksystemen ist kooperative Kommunikation, basierend auf koordinierten Basisstationen, ein sehr vielversprechendes Konzept zum Interzellinterferenzmanagement. Die vorliegende Arbeit behandelt das Konzept der kooperativen Kommunikation vom informationstheoretischen Hintergrund bis hin zum praktischen Systemdesign. Der Schwerpunkt der vorliegenden Arbeit liegt auf dem praktischen Design kooperativer Kommunikationssysteme mit partieller Kanalkenntnis

Millimeter wave wearable communication networks : analytic modeling and MIMO support

Future high-end wearable electronic devices including virtual reality goggles and augmented reality glasses require rates of the order of gigabits-per-second and potentially very low latency. Supporting high data rate wireless connectivity for applications such as uncompressed video streaming among wearable devices in a densely crowded environment is challenging. This is primarily due to bandwidth scarcity when many users operate multiple devices simultaneously. The millimeter wave (mmWave) band has the potential to address this bottleneck, thanks to more spectrum and less interference because of signal blockage at these frequencies. This dissertation addresses key questions that need to be answered before realizing mmWave-based wearables in practice: (i) what are the expected achievable rates in a crowded user environment, with mmWave devices using a given hardware configuration? (ii) how is the wireless connectivity affected in an indoor operation, which is prone to surface reflections? (iii) can multi-stream data transmission, involving large bandwidth communication under hardware constraints be realized? To answer these, tools from stochastic geometry and compressive sensing, and architectures involving hybrid analog/digital multiple-input multiple-output (MIMO) are leveraged. The main contributions of this dissertation are 1) analytical modeling to compute average achievable rates in mmWave wearable networks consisting of finite number of user devices and human blockages, 2) characterizing the impact of reflections and non-isotropic performance of mmWave wearable networks in crowded indoor environments, 3) channel estimation to support MIMO for wideband mmWave wearable devices using hybrid architecture, and 4) designing optimal, but easy-to-implement, precoding/combining strategies in frequency-selective mmWave systems. Both analysis and numerical simulations show how the proposed evaluation methodology and solutions serve to enable mmWave based communication among next generation wearable electronic devices.Electrical and Computer Engineerin

Laajennetun solukoon vaatimukset kolmannen sukupolven WCDMA tukiasemalle

Tämän diplomityön tarkoituksena on tutkia ja ohjeistaa mahdollisuudesta toteuttaa laajennettu solukoko olemassa olevissa WCDMA matkapuhelinverkoissa. Työn alussa pyritään luomaan yleiskäsitys WCDMA teknologiaan ja sen tarjoamiin mahdollisuuksiin sekä rajoituksiin. Tämän jälkeen tutkitaan ja luonnostellaan laajennetun solukoon toteuttamisen mahdollisuuksia käyttäen lähtökohtina radioaaltojen etenemismalleja ja erilaisia radioverkon suunnitteluun vaikuttavia tekijöitä. Erityistä huomiota kiinnitetään myös 3GPP:n WCDMA määrityksiin ja niiden synnyttämiin ongelmakohtiin. Lähdeaineistona diplomityön tutkimusosuudessa käytettiin kirjoitushetkellä julkisesti saatavilla olevaa materiaalia, joka koski WCDMA verkkosuunnittelua yleisesti. Tämän lisäksi käytössä oli myös 3GPP organisaation julkaisemat kolmannen sukupolven matkaviestinverkkoja koskevat määritykset. Tutkimus osoitti, että mikäli laajennettu solukoko halutaan ottaa käyttöön WCDMA ympäristössä, on tämänhetkisiin 3GPP määrityksiin tehtävä joitain muutoksia. Nämä muutokset koskevat ensisijaisesti kahta parametria: kierrosaikaa (RTT) sekä etenemisviivettä. Tällä hetkellä nämä kaksi parametria rajoittavat solun suurimman mahdollisen säteen noin 60 kilometriin. Näiden parametrien maksimiarvoa on kasvatettava, jotta se olisi riittävä suurille solusäteille. Näin meneteltäessä 3GPP määritykset eivät aiheuta rajoitusta solusäteelle, vaan rajoitus tulee radioaaltojen vaimenemisesta pitkillä etäisyyksillä. Optimaalisissa olosuhteissa voidaan suoritettujen laskelmien perusteella saavuttaa noin 100 kilometrin solusäde. Tällöin on kuitenkin myös varmistuttava, että paikallinen lainsäädäntö ei rajoita korkeiden antennimastojen käyttöönottoa. 3GPP- määrityksiin tehtävien muutosten voidaan katsoa olevan pakollisia, koska näin meneteltäessä voidaan varmistaa eri valmistajien laitteiden keskinäinen yhteensopivuus myös tulevaisuudessa. Tässä diplomityössä esiteltyjä ratkaisuluonnoksia voidaan käyttää apuna, kun suunnitellaan suuria solusäteitä sisältävää WCDMA radioverkkoa. Loppukäyttäjälle verkko-operaattorin päätös ottaa laajennettu solukoko käyttöön tietää ennen kaikkea peittoalueen parantumista tietyillä alueilla, joilla kuuluvuus on ollut heikko tai sitä ei ole ollut lainkaan

Optimized network dimensioning and planning for WiMAX technology

In order to meet demands in mobile broadband and to bridge the digital divide a new technology, namely WiMAX, was introduced in 2004. However, in order to increase the financial return on the investment inWiMAX, service operators need to make every effort in designing and deploying the most cost-effective networks. This thesis presents a novel dimensioning technique for WiMAX technology which takes the dimensioning problem to a new level and produces more accurate results in comparison to the traditional methods. Furthermore, a novel decomposed optimization framework for the WiMAX network planning is introduced which subdivides the overall problem into three distinct stages consisting of the network dimensioning stage which besides the primary task of evaluating the financial requirements produces a good starting network solution for the subsequent stages (Stage 1), initial sectorization and configuration of the network (Stage 2) and final network configuration (Stage 3). The proposed framework also solves two fundamental problems, which are cell planning and frequency planning, simultaneously. The feasibility of the final network solutions are then evaluated by OPNET simulator.EThOS - Electronic Theses Online ServiceGBUnited Kingdo