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Approximately Optimal Wireless Broadcasting

机译:最佳无线广播

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摘要

We study a wireless broadcast network, where a single source reliably communicates independent messages to multiple destinations, with the potential aid of relays and cooperation between destinations. The wireless nature of the medium is captured by the broadcast nature of transmissions as well as the superposition of transmitted signals plus independent Gaussian noise at the received signal at any radio. We propose a scheme that can achieve rate tuples within a constant gap away from the cut-set bound, where the constant is independent of channel coefficients and power constraints. First, for a deterministic broadcast network, we propose a new coding scheme, constructed by adopting a “receiver-centric” viewpoint, that uses quantize-and-forward relaying as an inner code concatenated with an outer Marton code for the induced deterministic broadcast channel. This scheme is shown to achieve the cut-set bound evaluated with product form distributions. This result is then lifted to the Gaussian network by using a deterministic network called the discrete superposition network as a formal quantization interface. This two-stage construction circumvents the difficulty involved in working with a vector nonlinear non-Gaussian broadcast channel that arises if we construct a similar scheme directly for the Gaussian network.
机译:我们研究了一种无线广播网络,其中单个源可靠地将独立消息传递到多个目的地,并借助目的地之间的中继和合作。介质的无线特性可以通过传输的广播特性以及任何无线电中接收信号处发射信号的叠加以及独立的高斯噪声来捕获。我们提出了一种方案,该方案可以在远离割集边界的恒定间隙内实现速率元组,其中该常数与通道系数和功率约束无关。首先,对于确定性广播网络,我们提出了一种新的编码方案,该方案采用“以接收器为中心”的观点构建,该方案使用量化转发中继作为与确定性广播信道的外部马顿码相连接的内部码。示出该方案实现了利用产品形式分布评估的切割定界。然后,通过使用称为离散叠加网络的确定性网络作为形式化的量化接口,将结果提升至高斯网络。这种两阶段的构造避免了使用矢量非线性非高斯广播信道时所遇到的困难,如果我们直接为高斯网络构造类似的方案,则会遇到困难。

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