DMT of weighted Parallel Channels: Application to Broadcast Channel

In a broadcast channel with random packet arrival and transmission queues, the stability of the system is achieved by maximizing a weighted sum rate capacity with suitable weights that depend on the queue size. The weighted sum rate capacity using Dirty Paper Coding (DPC) and Zero Forcing (ZF) is asymptotically equivalent to the weighted sum capacity over parallel single-channels. In this paper, we study the Diversity Multiplexing Tradeoff (DMT) of the fading broadcast channel under a fixed weighted sum rate capacity constraint. The DMT of both identical and different parallel weighted MISO channels is first derived. Finally, we deduce the DMT of a broadcast channel using DPC and ZF precoders.Comment: Proceedings of the 2008 IEEE International Symposium on Information Theory, Toronto, ON, Canada, July 6 - 11, 200

Error Prediction for Adaptive Modulation and Coding In Multiple-Antenna . . .

In this paper, the problem of Packet Error Rate prediction is addressed in the multiple-antenna broadband OFDM context, and its impact on Adaptive Modulation and Coding (AMC) is quantified. The analysis is based on a physical layer comprising various modulation and coding schemes, ranging from robust space-time block coding (STBC) modes to high bit rate spatial division multiplexing (SDM) modes, and also hybrid SDM-STBC schemes. For each mode the expression of several Link Quality Metrics enabling PER prediction in the broadband OFDM channel, such as instantaneous SNR, capacity, or exponential e#ective SNR metrics are provided. Their advantages and limitations are investigated. Finally

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