Spatio-Temporal processing for Optimum Uplink-Downlink WCDMA Systems

The capacity of a cellular system is limited by two different phenomena, namely multipath fading and multiple access interference (MAl). A Two Dimensional (2-D) receiver combats both of these by processing the signal both in the spatial and temporal domain. An ideal 2-D receiver would perform joint space-time processing, but at the price of high computational complexity. In this research we investigate computationally simpler technique termed as a Beamfom1er-Rake. In a Beamformer-Rake, the output of a beamfom1er is fed into a succeeding temporal processor to take advantage of both the beamformer and Rake receiver. Wireless service providers throughout the world are working to introduce the third generation (3G) and beyond (3G) cellular service that will provide higher data rates and better spectral efficiency. Wideband COMA (WCDMA) has been widely accepted as one of the air interfaces for 3G. A Beamformer-Rake receiver can be an effective solution to provide the receivers enhanced capabilities needed to achieve the required performance of a WCDMA system. We consider three different Pilot Symbol Assisted (PSA) beamforming techniques, Direct Matrix Inversion (DMI), Least-Mean Square (LMS) and Recursive Least Square (RLS) adaptive algorithms. Geometrically Based Single Bounce (GBSB) statistical Circular channel model is considered, which is more suitable for array processing, and conductive to RAKE combining. The performances of the Beam former-Rake receiver are evaluated in this channel model as a function of the number of antenna elements and RAKE fingers, in which are evaluated for the uplink WCDMA system. It is shown that, the Beamformer-Rake receiver outperforms the conventional RAKE receiver and the conventional beamformer by a significant margin. Also, we optimize and develop a mathematical formulation for the output Signal to Interference plus Noise Ratio (SINR) of a Beam former-Rake receiver. In this research, also, we develop, simulate and evaluate the SINR and Signal to Noise Ratio (Et!Nol performances of an adaptive beamforming technique in the WCDMA system for downlink. The performance is then compared with an omnidirectional antenna system. Simulation shows that the best perfom1ance can be achieved when all the mobiles with same Angle-of-Arrival (AOA) and different distance from base station are formed in one beam

Dynamic Capacity Enhancement using a Smart Antenna in Mobile Telecommunications Networks

This work describes an investigation into the performance of antennas for mobile base station applications and techniques for improving the coverage and capacity within a base station cell. The work starts by tracing the development of mobile systems, both in technical and commercial terms, from the earliest analogue systems to present day broadband systems and includes anticipated future developments. This is followed by an outline of how smart antenna systems can be utilised to improve cell coverage and capacity. A novel smart antenna system incorporating an array of slant ± 450 dual- polarised stacked patch elements four columns wide excited by a novel multi-beam forming and beam shaping network has been designed, simulated and implemented. It is found that for an ideal smart antenna array, four narrow overlapping beams, one wide “broadcast channel” beam and right and left shaped beams can be provided. Results are presented for the simulation of the smart antenna system using CST EM simulation software which inherently includes mutual coupling and the effects of a truncated ground plane on the element patterns. The results show some significant changes to the desired set of coverage patterns and various mutual coupling compensation techniques have been reviewed. An improved design technique has been developed for compensating the performance degrading effects of mutual coupling and finite ground plane dimensions in microstrip antenna arrays. The improved technique utilises combination of two previously known techniques: complex excitation weights compensation by inversion of the array mutual coupling scattering matrix and the incorporation of a WAIM (wide angle impedance matching) sheet. The technique has been applied to a novel multi-beam smart antenna array to demonstrate the efficacy of the technique by electromagnetic simulation. In addition, a demonstrator array has been constructed and tested which has yielded a positive conformation of the simulation results. For the developed demonstrator array which provides seven different beams, beams “footprints” have been predicted both for free space propagation and for urban propagation to evaluate the dynamic capacity performance of the smart antenna in a 3G mobile network. The results indicate that sector capacity can be dynamically tailored to user demand profiles by selection of the appropriate beam patterns provided by the novel smart antenna system

Over-the-air test configurations for MIMO in Long Term Evolution

One of the main challenges for the mobile industry is the growing demand for the high speed mobile data. The 3GPP (3rd Generation Partner Project) is the organization that specifies most mobile data communication standards used globally. For the demand for high data rates, 3GPP has specified LTE (Long Term Evolution). One solution included in LTE among many is the MIMO (Multiple Input Multiple Output) technology. This thesis discusses the basic features included in LTE Release 9 focusing on MIMO-technology. This thesis also discusses the MIMO-OTA (Over-the-Air) testing configurations introduced in 3GPP Technical Report 37.976. These configurations are divided into two main types: anechoic chamber-based environments and reverberation chamber-based environments. 3GPP divides these two methods into five different anechoic chamber methods and two reverberation chamber methods. Testing MIMO-technology in LTE introduces new requirements for OTA-testing. While test requirements for GSM and WCDMA networks have included TRS (Total Radiated Sensitivity) and TRP (Total Radiated Power), the LTE MIMO testing adds the requirements for throughput testing. When using MIMO-configurations, the throughput depends on power transmitted to UE (User Equipment) that depends on the position of the UE. Addition to that, the throughput also depends on used TM (Transmission Mode). So test specifications need to include throughput tests for all TMs. Performance of TMs and the overall performance of MIMO cannot be tested in traditional OTA-measurement chambers because the transmission channels in traditional OTA-chambers are configured to be as simple as possible, so that the power and sensitivity measurements could be repeatable. Suggestions for LTE testing chambers have included configuring the transmission channel to be more versatile. This has been achieved by methods such as using multiple antennas or including a channel emulator to the system. Using these methods, the UE’s MIMO performance can be tested in different channel environments in laboratory, therefore improving possibilities for research and development.Opinnäytetyössä tutkittiin LTE-teknologian perusperiaatteita keskittyen siihen sisälletyn MIMO-tekniikan toimintaan. Opinnäytetyö tutki myös 3GPP:n TR 37.976 -raportissa esiteltyjä testausympäristövaihtoehtoja. Nämä jakautuvat 2 pääkategoriaan: kaiuttoman kammion järjestelmiin ja heijastavan kammion järjestelmiin. 3GPP jakaa nämä vielä 5:een eri kaiuttoman kammion järjestelmään ja 2:een heijastamattoman kammion järjestelmään. MIMO-tekniikan testaaminen LTE-teknologiassa asettaa suuria vaatimuksia OTA-testaamiselle. GSM- ja WCDMA-verkkojen testaamiseen ovat riittäneet vain herkkyysmittaukset (Total Radiated Sensitivity, TRS) ja tehomittaukset (Total Radiated Power, TRP). LTE:n MIMO-tekniikka lisää testausvaatimuksiin tiedonsiirtonopeuden, joka on MIMO-tekniikkaa käytettäessä riippuvainen herkkyydestä ja lähetetystä sekä vastaanotetusta tehosta, jotka riippuvat puhelimen asennosta. Näiden lisäksi tiedonsiirtonopeus riippuu myös MIMO:n käyttämien siirtotapojen (Transmission Mode, TM) toiminnasta. Siirtotapojen ja MIMO:n toimintaa ei pystytä testaamaan perinteisissä OTA-mittauskammioissa, sillä näissä siirtokanava on yritetty tehdä yksinkertaiseksi, jotta tehojen ja herkkyyden mittaukset olisivat mahdollisimman toistettavia. LTE:n MIMO-testauksen vaatimissa mittauskammioissa on pyritty tekemään siirtokanavasta mahdollisimman monimuotoinen. Tähän on pyritty eri ympäristövaihtoehdoissa erilaisin menetelmin, kuten käyttäen useaa antennia tai kanavaemulaattoria. Tällöin pystytään testaamaan laitteen MIMO:n toimintaa erilaisissa reaalimaailman ympäristöissä laboratorio-olosuhteissa

Linear space-time modulation in multiple-antenna channels

This thesis develops linear space–time modulation techniques for (multi-antenna) multi-input multi-output (MIMO) and multiple-input single-output (MISO) wireless channels. Transmission methods tailored for such channels have recently emerged in a number of current and upcoming standards, in particular in 3G and "beyond 3G" wireless systems. Here, these transmission concepts are approached primarily from a signal processing perspective. The introduction part of the thesis describes the transmit diversity concepts included in the WCDMA and cdma2000 standards or standard discussions, as well as promising new transmission methods for MIMO and MISO channels, crucial for future high data-rate systems. A number of techniques developed herein have been adopted in the 3G standards, or are currently being proposed for such standards, with the target of improving data rates, signal quality, capacity or system flexibility. The thesis adopts a model involving matrix-valued modulation alphabets, with different dimensions usually defined over space and time. The symbol matrix is formed as a linear combination of symbols, and the space-dimension is realized by using multiple transmit and receive antennas. Many of the transceiver concepts and modulation methods developed herein provide both spatial multiplexing gain and diversity gain. For example, full-diversity full-rate schemes are proposed where the symbol rate equals the number of transmit antennas. The modulation methods are developed for open-loop transmission. Moreover, the thesis proposes related closed-loop transmission methods, where space–time modulation is combined either with automatic retransmission or multiuser scheduling.reviewe

Cooperative control of relay based cellular networks

PhDThe increasing popularity of wireless communications and the higher data requirements of new types of service lead to higher demands on wireless networks. Relay based cellular networks have been seen as an effective way to meet users’ increased data rate requirements while still retaining the benefits of a cellular structure. However, maximizing the probability of providing service and spectrum efficiency are still major challenges for network operators and engineers because of the heterogeneous traffic demands, hard-to-predict user movements and complex traffic models. In a mobile network, load balancing is recognised as an efficient way to increase the utilization of limited frequency spectrum at reasonable costs. Cooperative control based on geographic load balancing is employed to provide flexibility for relay based cellular networks and to respond to changes in the environment. According to the potential capability of existing antenna systems, adaptive radio frequency domain control in the physical layer is explored to provide coverage at the right place at the right time. This thesis proposes several effective and efficient approaches to improve spectrum efficiency using network wide optimization to coordinate the coverage offered by different network components according to the antenna models and relay station capability. The approaches include tilting of antenna sectors, changing the power of omni-directional antennas, and changing the assignment of relay stations to different base stations. Experiments show that the proposed approaches offer significant improvements and robustness in heterogeneous traffic scenarios and when the propagation environment changes. The issue of predicting the consequence of cooperative decisions regarding antenna configurations when applied in a realistic environment is described, and a coverage prediction model is proposed. The consequences of applying changes to the antenna configuration on handovers are analysed in detail. The performance evaluations are based on a system level simulator in the context of Mobile WiMAX technology, but the concepts apply more generally