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Content archived on 2024-05-18

HIgh-Capacity space-time Coding for Unprecedented Performance


- Verify that with a large number (in the range from 4x4 to 16x16) of transmit and receive antennas powerful yet simple to-decode codes (for example, turbo codes) can be used that perform close to the channel capacity; - Determine a simple receiver interface avoiding the complexity of the optimum, but often impractical, maximum-likelihood interface for the generation of the decoding metrics. The receiver interface is the signal processor that compensates for the spatial interference introduced by the multiple transmit antennas. Preliminary results point at the fact that for example the simple zero-forcing interface is inadequate whenever the ratio between the number of transmit and receive antenna is not very small; - Design a simple, yet powerful, combination of space-time code and receiver interface for a case of large but practical number of transmit and receive antennas. The present technology limit seems to be around 16 receive and transmit antennas.

The goal of high-data-rate wireless communication between two portable terminals is driving recent developments in communications. The great popularity of cordless phones, cellular phones, radio paging, portable computing, and other personal communication services demonstrates rising demand for these services. The availability of affordable high-data rate communications would spur many new service areas such as telemedicine, tele-education, tele-working, and many others. Information-theoretical analyses show that the capacity of wireless communication systems can be increased dramatically by employing multiple transmit and receive antennas. These techniques enable to circumvent the physical limitations of the communication channel, mainly due to noise, interference, and multipath fading. Currently, multiple antennas at base stations are used for receive diversity. In this project we focus instead on a combination of transmit and receive diversity, whereby both the transmitter and the receiver use multiple antennas that are separated to create independent channels, and the combination of multiple transmit antennas with coding provides diversity. Our study will consist in the search for coding/signal processing solutions matched to a large number of transmit ad receive antennas, so as to achieve a substantial fraction of the large capacity gains predicted by the theory.

The number of transmit/receive antennas ranges from 4x4 to 16x16. The mathematical approach envisioned for this search is the asymptotic analysis of the performance of multiple-antenna systems as the number of antennas grows and approaches infinity (in practice, we expect that the asymptotic analysis will provide practical design guidelines even for a number of antennas as low as 4). A tool which is becoming increasingly popular for this kind of asymptotic analyses (but so far employed only for studying CDMA systems with a large number of users) is the theory of random matrices and "non-commutative probability," a deep mathematical theory which allows one to manipulate matrices whose elements are random variables and whose dimensions grow to infinity.

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Corso Duca Degli Abruzzi, 24
10129 TORINO

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