Design of Linear Precoder to Maximize Sum rate Using Uplink and Downlink Duality
|P.Thamarai1, B.Karthik2 , Dr. T.V.U.Kirankumar3
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This paper addresses the joint transmit and receive optimization and linear processing for multiuser multiple-input, multiple output (MIMO) downlink. Each user may receive multiple data streams. Our design is to maximize the sum throughput under power constraint is equivalent to minimizing the product of mean square error matrix determinants(PDetMSE).Other one is to minimize the total transmit power with sum rate requirement. A scalar version of mean square error is considered to solve the problem. The problem is product of mean square error does not provide efficient solution. Once the optimal structure of the transmit-receive processing is known, the design problem simplifies and can be formulated within the powerful framework of convex optimization theory, in which a great number of interesting design criteria can be easily accommodated and efficiently solved even though closed-form expressions may not exist. we devise iterative algorithm where each iteration contains the optimization of uplink power, uplink receive filter, downlink receive filter. For these problem a new power allocation schemes are derived, which can be devised as Differential evolution(DE) involving mean square error. Simulations show that proposed algorithm are proved to be convergent and outperform existing linear methods.