On Multi-antenna Systems for Wireless Transmission Mediums

Current and emergent services are demanding higher data rates, improved spectral e-ciency and increased network capacity. To face this new requirements, it is important to flnd schemes able to reduce the efiects of fading and explore new types of diversity. The current work performs a comparison between difierent multi-antenna techniques that can be employed to achieve the requirements of the Fourth Generation Cellular Systems (4G). The described schemes are studied at the link and system level using Bit Error Rate as the performance index. 1. INTRODUCTION The use of multiple antennas at both the transmitter and receiver aims to improve performance or to increase symbol rate of systems, but it usually requires a higher implementation complexity. The antenna spacing must be larger than the coherence distance to ensure independent fading across difierent antennas elements (1,2). Alternatively, difierent antennas should use orthogonal polarizations to ensure independent fading across difierent antennas. Multi-antenna systems are used in order to push the performance or capacity/throughput limits as high as possible without an increase of the spectrum bandwidth, although at the cost of an obvious increase of complexity. In the case of frequency selective fading channel, difierent symbols sufier from interference from each other, whose efiect is usually known as Intersymbol Interference (ISI). This efiect tends to increase with the used bandwidth. By exploiting diversity, multi-antenna systems can be employed to mitigate the efiects of ISI. The various multi-antenna conflgurations are referred to as Single Input Single Output (SISO), Multiple Input Single Output (MISO), Single Input Multiple Output (SIMO) or Multiple Input Multiple Output (MIMO). The SIMO and MISO architectures are forms of receive and transmit diversity schemes, respectively. MIMO architectures can be used for combined transmit and receive diversity, for the parallel transmission of data or for spatial multiplexing. When used for spatial multiplexing, MIMO technology promises high bit rates in a narrow bandwidth. Therefore, it is of high signiflcance to spectrum users. In this case, MIMO system considers the transmission of difierent signals from each transmit antenna element so that the receiving antenna array receives a superposition of all transmitted signals.

[1]  J. Hagenauer,et al.  Linear time and frequency domain turbo equalization , 2001, IEEE VTS 53rd Vehicular Technology Conference, Spring 2001. Proceedings (Cat. No.01CH37202).

[2]  Nevio Benvenuto,et al.  Block iterative DFE for single carrier modulation , 2002 .

[3]  Rui Dinis,et al.  Transmission Techniques for 4G Systems , 2012 .

[4]  N. Suehiro,et al.  Very efficient wireless fyequency usage based on pseudo-coherent addition of multipath signals using kronecker product with rows of dft matrix , 2003, IEEE International Symposium on Information Theory, 2003. Proceedings..

[5]  Joachim Speidel,et al.  An adaptive two-dimensional channel estimator for wireless OFDM with application to mobile DVB-T , 2000 .

[6]  Andrew C. Singer,et al.  Turbo equalization: principles and new results , 2002, IEEE Trans. Commun..

[7]  Mário Marques da Silva,et al.  Multimedia Communications and Networking , 2012 .

[8]  Rui Dinis,et al.  Iterative layered space-time receivers for single-carrier transmission over severe time-dispersive channels , 2004, IEEE Communications Letters.

[9]  David Falconer,et al.  Frequency domain equalization for single-carrier broadband wireless systems , 2002, IEEE Commun. Mag..

[10]  R. Dinis,et al.  Comparison of two modulation choices for broadband wireless communications , 2000, VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026).

[11]  Rui Dinis,et al.  Iterative frequency-domain detection and channel estimation for space-time block codes , 2011, Eur. Trans. Telecommun..

[12]  Rui Dinis,et al.  A V-Blast Detector Approach for W-CDMA Signals with Frequency Selective Fading , 2005, 2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications.

[13]  Gerard J. Foschini,et al.  Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas , 1996, Bell Labs Technical Journal.

[14]  Rui Dinis,et al.  Transmission Techniques for Emergent Multicast and Broadcast Systems , 2010 .

[15]  Rui Dinis,et al.  On Broadband Block Transmission over Strongly Frequency-Selective Fading Channels , 2003 .

[16]  Patrick Robertson,et al.  Pilot-symbol-aided channel estimation in time and frequency , 1997 .

[17]  M. J. Gans,et al.  On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas , 1998, Wirel. Pers. Commun..

[18]  Naoki Suehiro,et al.  Performance of Very Efficient Wireless Frequency Usage System Using Kronecker Product with Rows of DFT Matrix , 2006, 2006 IEEE Information Theory Workshop - ITW '06 Chengdu.

[19]  A. Robert Calderbank,et al.  Space-Time block codes from orthogonal designs , 1999, IEEE Trans. Inf. Theory.