COST 273 Towards Mobile Broadband Multimedia Networks Luis M. Correia Instituto Telecomunicações/Instituto Superior Técnico Technical University of Lisbon, Portugal
Summary Objectives and background Meetings and organisation Some results Conclusions
Objective The main objective is to increase the knowledge on the radio aspects of mobile broadband multimedia networks, by exploring and developing new methods, models, techniques, strategies and tools towards the implementation of 4 th generation mobile communication systems.
Background COST 207, Digital Land Mobile Radio Communications, Mar. 1984 Sep. 1988. COST 231, Evolution of Land Mobile Radio (Including Personal) Communications, Apr. 1989 Apr. 1996. COST 259, Wireless Flexible Personalised Communications, Dec. 1996 Apr. 2000.
Timetable and Meetings The Action started on May 2001, and is due to finish by May 2005. Meetings are held 3 times per year, preceded by tutorials. Workshops are organised every year: Opportunities for the channel modelling in wireless communications, Espoo, Finland, May 2002. Broadband wireless local access, Paris. France, May 2003.
Participation The current participation involves: 28 countries, including 3 outside Europe (Canada, Japan, United States of America); 153 institutions; 412 members.
Structure (1) The Action is structured into 3 Working Groups: WG 1 - Radio System Aspects WG 2 - Propagation and Antennas WG 3 - Radio Network Aspects
Structure (2) There are also 4 Sub-Working Groups: SWG 2.1 - MIMO channel model SWG 2.2 - Antenna performance of small mobile terminals SWG 2.3 - Channel measurements SWG 3.1 - Mobile radio networks reference scenarios
Some Results In every meeting, around 50 technical papers are presented and discussed. Some results are presented in what follows, concerning WG2.
UWB Radio Channel Measurements (1) Goals: High spatial resolution Large bandwidth Suited for DOA/DOD/MIMO analysis NWA measurements Static environment 1-11 GHz 6.25 MHz resolution [Source: IMST, Germany]
UWB Radio Channel Measurements (2) Example: 1-to-n Measurement Rx Antenna: Mounted on tripod Omni ~1.5 m height Equal Tx Antenna: Mounted on positioner Omni ~1.5 m height 150 30 grid positions Stepsize: 1 cm (x, y) [Source: IMST, Germany]
UWB Radio Channel Measurements (3) Coherent measurements: reconstruction of waves propagating over measurement array possible. Office environment (LOS conditions) [Source: IMST, Germany]
Some results UWB Radio Channel Measurements (4) [Source: IMST, Germany]
Near-field Simulations (1) Study of near-field of a DGPS transmitter influenced by off-shore windturbine parks. [Source: K.U. Leuven, Belgium]
Near-field Simulations (2) Parks act as parasitic arrays, increasing the field in that direction. [db] [Source: K.U. Leuven, Belgium]
MIMO Capacity (1) MIMO Capacity - definition and measurements with virtual planar array. Capacity vs. pathloss shows spread - why? Correlation at Tx and/or Rx responsible for lower capacity - link with Rayleigh or Rice distributed matrix coefficients. [Source: T.U. Vienna, Austria]
MIMO Capacity (2) 20 10 virtual Tx array (130 spatial realisations) [Source: T.U. Vienna, Austria]
MIMO Capacity (3) Average MIMO Capacity vs. Pathloss: 10 db receive SNR at Rx1-D1 [Source: T.U. Vienna, Austria]
MIMO Capacity (4) At Rx26-D3, fading follows Rayleigh. [Source: T.U. Vienna, Austria]
MIMO Capacity (5) At Rx13-D1, fading follows Rice. [Source: T.U. Vienna, Austria]
MIMO Capacity (6) For a given SNR, MIMO capacity is high/low, if: channel matrix coefficients are Rice/ Rayleigh distributed; there is high/low correlation at Rx, Tx or both/rx and Tx. [Source: T.U. Vienna, Austria]
MIMO Measurements (1) Measurement, modelling and prediction of the MIMO channel. Tx with antenna array Rx with antenna array Broadband airinterfaces for the 3th and 4th generation [Source: T.U. Ilmenau & Medav, Germany]
MIMO Measurements (2) Link-level simulations based on real-time measurements. algorithms for the detection, separation, equalization and antenna subset selection algorithms for the adaptive modulation, coding, antenna subset selection, and power control Tx channels 1 2 M Tx + 1 linear ST DFE 2 MLSE BLAST Turbo...? M Rx detected data vector convolution noise + interferer adaptive ST-receiver [Source: T.U. Ilmenau & Medav, Germany]
MIMO Measurements (3) Measurement antenna optimisation: estimate multi-dimensional channel parameters with high resolution; large number of elements, radiation pattern, polarisation resolution, low coupling, precise calibration procedure. Antennas for different system scenarios: arrays at base station vs. at mobiles; field of view, arrangement and number. [Source: T.U. Ilmenau & Medav, Germany]
MIMO Measurements (4) Antennas for measurements and systems: ULA uniform linear array UCA uniform circular array CUBA circular uniform beam array URA uniform rectangular array PUCPA polarised uniform circular patch array [Source: T.U. Ilmenau & Medav, Germany]
MIMO Measurements (5) A scenario from channel measurements: RX bridge motorway bridge TX [Source: T.U. Ilmenau & Medav, Germany]
MIMO Measurements (6) Results from channel measurements: Tx-beam no. 8 7 6 5 4 3 2 1 0 τ [µs] 2.4 Rx-beam no. 8 7 6 5 4 3 2 1 Tx-element no. 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 0 τ [µs] 2.4 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 [Source: T.U. Ilmenau & Medav, Germany] Rx-element no.
Conclusions A brief description on the objectives and structure of COST 273 was presented. Results from some WG2 participants were shown. Detailed information can be found at http://www.lx.it.pt/cost273