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	<title>Comments on: Overview of MIMO Broadcast Channel Capacity Results</title>
	<link>http://windowsil.org/2008/02/12/overwiew-of-mimo-broadcast-channel-capacity-result/</link>
	<description>Your window into the Wireless Systems Innovation Laboratory</description>
	<pubDate>Sun, 27 May 2012 13:11:51 +0000</pubDate>
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		<title>by: Rahul Vaze</title>
		<link>http://windowsil.org/2008/02/12/overwiew-of-mimo-broadcast-channel-capacity-result/#comment-33341</link>
		<pubDate>Tue, 18 Mar 2008 04:13:17 +0000</pubDate>
		<guid>http://windowsil.org/2008/02/12/overwiew-of-mimo-broadcast-channel-capacity-result/#comment-33341</guid>
					<description>Thanks Caleb for pointing out the typos.</description>
		<content:encoded><![CDATA[<p>Thanks Caleb for pointing out the typos.
</p>
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		<title>by: Caleb Lo</title>
		<link>http://windowsil.org/2008/02/12/overwiew-of-mimo-broadcast-channel-capacity-result/#comment-33113</link>
		<pubDate>Fri, 14 Mar 2008 17:50:49 +0000</pubDate>
		<guid>http://windowsil.org/2008/02/12/overwiew-of-mimo-broadcast-channel-capacity-result/#comment-33113</guid>
					<description>Rahul - thanks for this writeup.  Sometimes I find it difficult to get a handle on information-theoretic results, but this writeup illustrates the key proof mechanisms at a relatively accessible level (MIMO-BC -&amp;#62; AMIMO-BC -&amp;#62; DAMIMO-BC -&amp;#62; enhanced DAMIMO-BC, which is where I guess Bergman's proof becomes quite useful).

It would be interesting to compare the proof employed here with that in the paper by Mohseni and Cioffi.

A few comments on the nuts and bolts of this writeup:
1) Throughout the writeup we see that the governing system equation has user $n$ receiving $y_n = H_nx_n+v_n$.  It seems, though, that the transmitter would send $x$ to user $n$, not just $x_n$ (which is what user $n$ wants to decode).
2) There seems to be a mistake in the achieved rate for user 2 in the case where DPC encoding entails encoding user 2's signal first.  The determinant in the denominator should have $S_1$, not $S_2$ (since user 1's signal would interfere with user 2's signal).
3) The definition of the enhanced DAMIMO-BC is somewhat confusing.  It would seem more straightforward to have the constraint $cov(\hat{v}_i)\leq cov(v_i^{*})$ for $i = 1,2$.  Currently, $cov(\hat{v}_1)$ is compared with $cov(v_2^{*})$, but how is this an improvement over the DAMIMO-BC?  I wonder if the accompanying sum constraint on the covariances is the key to understanding this.</description>
		<content:encoded><![CDATA[<p>Rahul - thanks for this writeup.  Sometimes I find it difficult to get a handle on information-theoretic results, but this writeup illustrates the key proof mechanisms at a relatively accessible level (MIMO-BC -&gt; AMIMO-BC -&gt; DAMIMO-BC -&gt; enhanced DAMIMO-BC, which is where I guess Bergman&#8217;s proof becomes quite useful).</p>
<p>It would be interesting to compare the proof employed here with that in the paper by Mohseni and Cioffi.</p>
<p>A few comments on the nuts and bolts of this writeup:<br />
1) Throughout the writeup we see that the governing system equation has user $n$ receiving $y_n = H_nx_n+v_n$.  It seems, though, that the transmitter would send $x$ to user $n$, not just $x_n$ (which is what user $n$ wants to decode).<br />
2) There seems to be a mistake in the achieved rate for user 2 in the case where DPC encoding entails encoding user 2&#8217;s signal first.  The determinant in the denominator should have $S_1$, not $S_2$ (since user 1&#8217;s signal would interfere with user 2&#8217;s signal).<br />
3) The definition of the enhanced DAMIMO-BC is somewhat confusing.  It would seem more straightforward to have the constraint $cov(\hat{v}_i)\leq cov(v_i^{*})$ for $i = 1,2$.  Currently, $cov(\hat{v}_1)$ is compared with $cov(v_2^{*})$, but how is this an improvement over the DAMIMO-BC?  I wonder if the accompanying sum constraint on the covariances is the key to understanding this.
</p>
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