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Optimized Transmitter-Based Signal Processing for Multicarrier Systems

Optimized Transmitter-Based Signal Processing for Multicarrier Systems


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About the Book

Multicarrier modulation is a popular transmission technique that is used in wireline and wireless communication systems such as DSL, WiFi, and WiMAX. Multicarrier systems work by transmitting the information in parallel over many orthogonal subchannels. Interference between subchannels and successive multicarrier symbols is eliminated by prepending a cyclic-prefix (CP) to the transmitted symbol. The recovery of the data at the receiver then requires only a simple multiplication for every subchannel. Unfortunately, the orthogonality of the subchannels is lost in the case of insufficient-cyclic-prefix (ICP), which occurs when the channel impulse response is longer than the CP. The loss of orthogonality significantly complicates the recovery of the transmitted data. This thesis first explores transmitter-based techniques for mitigating ICP distortion. Methods for reducing the interference between subchannels by linear precoding will be considered first. The precoding matrix is designed by employing a convex optimization framework, which is derived by relaxing a non-convex problem of maximizing the data rate with a linear precoder. The implementation complexity of this precoder is lowered by imposing a sparse structure on the precoding matrix, and the performance is significantly improved by taking advantage of the structure of the distortion with joint transmitter-receiver processing. Finally, the optimization problem is modified to also suppress the interference between successive multicarrier symbols. These approaches for mitigating ICP distortion assume that all subchannels are used for data-transmission. For cases when not all the subchannels are used for carrying data, this thesis explores using these subchannels to reduce the ICP distortion affecting the data-carrying tones. In fact, sacrificing data-carrying tones for mitigating ICP distortion leads to overall throughput gains. The proposed algorithms have low complexity and require processing mostly at the transmitter, which is especially useful for power constrained mobile receivers. This, in turn, allows for the implementation of these algorithms without compromising the attractiveness of multicarrier systems. The last part of this dissertation deals with the peak-to-average power ratio (PAR) problem of multicarrier systems. This thesis explores distorting the transmitted constellation to lower the PAR, with the constellation perturbation done in an optimal way to maximize the system performance. The problem of optimally trading off PAR reduction and constellation distortion is analyzed and shown to be a convex optimization problem that can be solved efficiently. The proposed PAR reduction algorithm has no power or data-rate loss, and does not require the transmission of any Bide information.


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Product Details
  • ISBN-13: 9781243622839
  • Publisher: Proquest, Umi Dissertation Publishing
  • Publisher Imprint: Proquest, Umi Dissertation Publishing
  • Height: 246 mm
  • Weight: 327 gr
  • ISBN-10: 1243622830
  • Publisher Date: 01 Sep 2011
  • Binding: Paperback
  • Spine Width: 10 mm
  • Width: 189 mm


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