Higher Order Statistics in a mmWave Propagation Environment

(c) 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.[EN] A thorough measurement campaign in an indoor environment at the millimeter-wave band is carried out with an aim at characterizing the short-term fading channel in terms of its higher-order statistics. The measurements are conducted in a variety of scenarios, with frequencies ranging from 55 to 65 GHz, in line-of-sight and non-line-of-sight conditions, and combinations of horizontal and vertical polarizations at both the transmitter and the receiver. A number of fading models are tested, namely Rayleigh, Rice, Nakagami-m, alpha-mu, kappa-mu, eta-mu, and alpha-eta-kappa-mu. The main second-order statistics under analysis are the level crossing rate (LCR) and average fade duration (AFD) both given per distance unit. From the experimental data, the parameters of these statistics are estimated, and the corresponding curves of the theoretical models are compared with the empirical ones and the best model is selected. Additionally, the study of the very general distribution, namely alpha-eta-kappa-mu, is advanced, in which new expressions for time-/distance-domain LCR and Al-ll are derived using an envelope-based approach. Such an approach leads to integral-form formulations with much less computational complexity and computes rapidly compared with the already existing ones presented elsewhere, also given in the integral form. Furthermore, a series of expansion expression for the alpha-eta-kappa-mu time-/distance-domain LCR is then derived that improves even further the computational time.This work was supported in part by the Conselho Nacional de Desenvolvimento Cientico e Tecnologico (CNPq) under Grant 304248/2014-2 and Grant 308365/2017-8, in part by the Rede Nacional de Ensino e Pesquisa (RNP), with resources from Ministerio da Ciencia, Tecnologia, Inovacoes e Comunicacoes (MCTIC), through the Radiocommunication Reference Center [Centro de Referencia em Radiocomunicacoes (CRR)] Project of the National Institute of Telecommunications [Instituto Nacional de Telecomunicacoes (INATEL)], Brazil, under Grant 01250.075413/2018-04, and in part by the Ministerio de Economia, Industria y Competitividad of the Spanish Government through the Agencia Estatal de Investigacion (AEI) and the Fondo Europeo de Desarrollo Regional (FEDER) under Project TEC2017-86779-C2-2-R.Dos Anjos, AA.; Rufino-Marins, TR.; Nogueira Da Silva, CR.; Rodrigo Peñarrocha, VM.; Rubio Arjona, L.; Reig, J.; Amaral De Souza, RA.... (2019). Higher Order Statistics in a mmWave Propagation Environment. IEEE Access. 7:103876-103892. https://doi.org/10.1109/ACCESS.2019.2930931S103876103892

Intra- and Out-of-Vehicle Channel Measurements and Modeling

Disertační práce je zaměřena na měření a modelování kanálu uvnitř a vně vozidla pro komunikaci a lokalizaci. Pro účely vytvoření integrovaného inteligentního dopravního systému ITS (Intelligent transportation system) je důležitý odhad vlastnosti kanálů pro vnitřní a venkovní scénáře. Za tímto účelem je vhodné provést řadu činností, které jsou obsahem disertační práce: Simulace fyzické vrstvy 802.11p, její srovnávání s 802.11a, měření kanálu pro různé scénáře pro 802.11p a pro širokopásmový systém (UWB), vytvoření modelů kanálů pro 802.11p a UWB a výzkum vlastností lokalizace založené na měření v pásmu UWB. Výzkum komunikace vozidla s okolím založená na IEEE 802.11p standardu. Jedním z cílů disertační práce je ukázat rozdíly mezi standardy fyzické vrstvy IEEE 802.11a a IEEE 802.11p prostřednictvím simulace s použitím modelu kanálu HIPERPLAN/2. V práci je uvedena simulace přenosu signálu 802.11p kanálem ITU-R M.1225 s odlišným zpožděním a středním výkonem (pro chodce a vozidla). Vliv kanálu na signál je analyzován za použití simulace v prostředí MATLABu pomocí vyhodnocení chybovosti. Určení vlastností kanálů v kmitočtovém pásmu 5,8 GHz pro standard IEEE 802.11p a UWB. Experimenty byly prováděny pro vnitřní a vnější prostředí vozidla. Bylo zjištěno, že pro protokol 802.11p může být trend (dlouhodobý vývoj) profilu PDP (power delay profile) nejlépe aproximován pomocí modelu obsahujícího dvě klesající exponenciální funkce, na rozdíl od Saleh-Valenzuelova (S-V) modelu, který je více vhodný pro UWB systémy pracující v pásmu 3 až 11 GHz. Vytvoření odpovídající impulzní odezvy (CIR) s využitím trendu PDP. Informace o CIR byla použita pro simulaci 802.11p za účelem vyhodnocení chybovosti při použití Ricianova modelu. Výsledky odhadu BER ukazují vhodnost protokolu pro vnitřní a vnější prostředí bezdrátových aplikací. Výsledky simulací dále ukazují, že se chybovost zásadně nemění a proto je možné určit střední křivku BER pro celou sadu změřených dat. Určení vlivu malé změny polohy antény na vlastnosti kanálu. Práce ukazuje náhodnost parametrů UWB kanálu pro malé změny polohy antény okolo vozidla, zaparkovaného v podzemní garáži. Ztráty šířením jsou monotónně rostoucí se vzdáleností, avšak náhodně se mění v závislosti na úhlu a výšce antén, a proto je vyhodnocení vzdálenosti pomocí síly signálu pro tyto scénáře nevhodné. Na druhé straně může být pro spolehlivé určení vzdálenosti bez ohledu na úhel nebo výšku antény použita doba příchodu prvního svazku. Ověření vlivu změn konfigurace kanálu na parametry S-V modelu. Práce demonstruje závislost parametrů Saleh-Valenzuela modelu v na vzdálenosti a výšce antén, avšak ukazuje, že jejich průměrné hodnoty jsou blízké IEEE 802.15.3 standardu. Ověření možnosti lokalizace pomocí metody TOA (time of arrival). Vzdálenost mezi anténami byla určena z profilu PDP s využitím lineární závislosti vzdálenosti na zpoždění. Souřadnice vysílací antény byly nalezeny pomocí dvou přijímacích antén pomocí 2-D lokalizační techniky TOA. Porovnání vypočtených souřadnic s původními vykazuje chybu menší než 6%, což ukazuje vhodnost navrženého přístupu pro lokalizaci vozidel.The dissertation is focused on channel measurements and modeling for vehicle-to-X communication and on localization. In order to realize an integrated intelligent transportation system (ITS), it is important to estimate channel features for intra-vehicle and out-of-vehicle scenarios. For this propose the following activities are carried out: simulation of the 802.11p PHY; comparison with 802.11a; channel measurements for different scenarios based on the 802.11p and ultra-wideband (UWB); creating channel models for 802.11p and UWB; UWB measurements to assess performance of localization. The vehicle-to-X communication is supposed on the IEEE 802.11p standard. The dissertation presents the differences between IEEE 802.11a and IEEE 802.11p physical layer standards through the simulation results of the transmission over a HIPERPLAN/2 channel. Further, the simulation of the 802.11p signal transmission over ITU-R M.1225 channel, which includes pedestrian and vehicle models with different relative delays and average power, is presented. The influence of the channel on the signal is analyzed using MATLAB simulation in terms of bit error rate (BER). The dissertation reports vehicular channel measurements in the frequency band of 5.8 GHz for IEEE 802.11p standard and for UWB (3-11 GHz). Experiments for both intra-vehicle and out-of-vehicle environments are carried out. It was observed that the large-scale variations (LSVs) of the power delay profiles (PDPs) can be best approximated through a two-term exponential decay model for the 802.11p protocol, in contrast to the Saleh-Valenzuela (S-V) model which is suitable for UWB systems. For each measurement, the LSV trend was used to construct the respective channel impulse response (CIR). Next, the CIR is used in 802.11p simulation to evaluate the BER performance, following a Rician model. The results of the BER simulation shows the suitability of the protocol for in-car as well as out-of-car wireless applications. The simulation for out-of-car parameters indicate that the error performances do not vary much and it is possible to determine an average BER curve for the whole set of data. The randomness in UWB channel for small positional variations around a car, parked in an underground garage, is reported. The path loss (PL) is found to be monotonically increasing with distance but varies randomly with angle and height and thereby renders signal strength based ranging inaccurate for such scenarios. On the other hand, arrival time of the first ray can be used for reliable estimation of distance, independent on transmitter angle or height. The number of clusters in the PDP is reduced with distance but the nature of the profile remains fairly consistent with angle. The S-V model parameters also vary with distance and height but their average values are close to the IEEE 802.15.3 recommended channel model. For localization applications the distance between the antennas is calculated exploiting the linear dependence of distance on delay from PDP. The coordinates of a transmitting antenna are found with the help of two receiving antennas following a two-dimensional (2-D) time-of-arrival (TOA) based localization technique. A comparison of the calculated coordinates with the original ones exhibits an error of less than 6% which supports the suitability of the proposed approach for localization of the cars.

Channel characteristics for intra-vehicle wireless communications

Vehicles are continuously being improved to enhance the driving experience by integrating new technologies. Recent luxury vehicles may have over 70 Electronic Control Units (ECU) and 2200 cables. It is estimated that the number of ECUs and connections between ECUs and sensors will continuously increase to meet growing network requirements. The wire harness is the third most expensive component in a vehicle, reducing the number of cables through wireless communications would consequently result in space, cost, and fuel savings. However, the behaviour of the intra-vehicle channel and suitable wireless network technologies for an intra-vehicle network have not been fully addressed. In this research, the intra-vehicle narrowband loss performance in non-line-of-sight and line-of-sight condition was investigated and compared through real field tests. The results indicate that fading behaviour is primarily caused by small-scale rather than large-scale fading. An empirical-based path loss model is proposed with its parameters extracted from the real field test measurements. Further analysis of the small-scale fading through Rician K-factor reveals the dependence of the K-factor with distance and locations. These investigations suggest that for a narrowband system whereby the bandwidth of the transmitted signal is lower than the coherence bandwidth; the channel can be modelled using Rician fading. Furthermore, the wideband and ultra-wideband channel was characteristics through a real field tests. The results demonstrate that the multipath fading of intra-vehicle channel is much worse than other type of environments such as factory workshops and hospitals. Finally, the time-varying characteristics of the intra-vehicle channel, tested under various scenarios, suggest that the channel's coherence time is primarily impacted by passenger motion in the vehicle. Considering both the channel loss and time-varying characteristics, the performance trade-off's of the cooperative communication system against retransmission was evaluated

Resource management in future mobile networks: from millimetre-wave backhauls to airborne access networks

The next generation of mobile networks will connect vast numbers of devices and support services with diverse requirements. Enabling technologies such as millimetre-wave (mm-wave) backhauling and network slicing allow for increased wireless capacities and logical partitioning of physical deployments, yet introduce a number of challenges. These include among others the precise and rapid allocation of network resources among applications, elucidating the interactions between new mobile networking technology and widely used protocols, and the agile control of mobile infrastructure, to provide users with reliable wireless connectivity in extreme scenarios. This thesis presents several original contributions that address these challenges. In particular, I will first describe the design and evaluation of an airtime allocation and scheduling mechanism devised specifically for mm-wave backhauls, explicitly addressing inter-flow fairness and capturing the unique characteristics of mm-wave communications. Simulation results will demonstrate 5x throughput gains and a 5-fold improvement in fairness over recent mm-wave scheduling solutions. Second, I will introduce a utility optimisation framework targeting virtually sliced mm-wave backhauls that are shared by a number of applications with distinct requirements. Based on this framework, I will present a deep learning solution that can be trained within minutes, following which it computes rate allocations that match those obtained with state-of-the-art global optimisation algorithms. The proposed solution outperforms a baseline greedy approach by up to 62%, in terms of network utility, while running orders of magnitude faster. Third, the thesis investigates the behaviour of the Transport Control Protocol (TCP) in Long-Term Evolution (LTE) networks and discusses the implications of employing Radio Link Control (RLC) acknowledgements under different link qualities, on the performance of transport protocols. Fourth, I will introduce a reinforcement learning approach to optimising the performance of airborne cellular networks serving users in emergency settings, demonstrating rapid convergence (approx. 2.5 hours on a desktop machine) and a 5dB improvement of the median Signal-to-Noise-plus-Interference-Ratio (SINR) perceived by users, over a heuristic based benchmark solution. Finally, the thesis discusses promising future research directions that follow from the results obtained throughout this PhD project