Transceiver Designs for Multi-Antenna Relaying Channels with Statistical Feedback

Project: Research

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Description

Next generation (assumedly the fourth generation (4G)) wireless communication systems are expected to provide a wide variety of high-quality high-rate services homogenously over the entire service area regardless of the separation from the transmitter. A promising solution is the integration of  ̄xed relays with multi-input multi-output (MIMO) antenna technology to form a cascade (multi-hop) MIMO infrastructure so as to fully exploit the extended cover- age of the former and the huge potential capacity of the latter. In this project, we will tackle the issue of transceiver design for wireless multi-antenna relaying systems with statistical feedback in the framework of capacity maximization. Statistical feedback to the transmitter is relatively easy to implement in practice and yet, can considerably enhance the system performance. The insertion of relays into a MIMO channel, however, often leads to a very complicated and non-concave objective function, thereby excluding the use of standard techniques developed for convex MIMO optimization. The purpose of this project is, therefore, to develop a new framework for solving a class of stochastic optimization problems arising from wireless relaying systems with multiple antennas and statistical feedback. The idea behind the new methodology is to convert the intractable non-convex optimization problem into the comparison of two nonnegative random variables in a certain type of stochastic ordering, say the Laplace transform order. The powerfulness and usefulness of the techniques so developed will be demonstrated by transceiver designs for future wireless in number of application scenarios.

Detail(s)

Project number9041689
Grant typeGRF
StatusFinished
Effective start/end date1/12/114/03/14