WNCG - Wireless Networking and Communications Group - mmWave MIMO Systems
https://wncg.org/tags/mmwave-mimo-systems
enChannel Estimation in Millimeter Wave MIMO Systems with One-Bit Quantization
https://wncg.org/research/briefs/channel-estimation-millimeter-wave-mimo-systems-one-bit-quantization
<div class="field field-name-field-publish-date field-type-datetime field-label-hidden"><div class="field-items"><div class="field-item even"><span class="date-display-single">Thursday, January 29, 2015</span></div></div></div><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"> <div>Millimeter wave (mmWave) is a technology that can provide high bandwidth communication links in cellular systems. As mmWave uses larger bandwidths, the corresponding sampling rate of the analog-to-digital converter (ADC) scales up. Unfortunately, high speed, high resolution (e.g., 6-12 bits) ADCs are costly and power-hungry for portable devices. A possible solution is to live with ultra low resolution ADCs (1-3 bits), which reduces power consumption and cost. The vast majority of decoding methods including our previous work assume perfect channel estimates, which is never the case in practice. Since the received signal is coarsely quantized, the channel estimation is a challenging problem.</div>
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<div>To address this problem, WNCG graduate student Jianhua Mo, Ohio State University Professor Philip Schniter, Universidade de Vigo Professor Nuria González Prelcic and WNCG professor Robert Heath developed channel estimation algorithms for mmWave multiple-input multiple-output (MIMO) systems with one-bit ADCs. Since the mmWave MIMO channel is sparse due to the propagation characteristics, the estimation problem was formulated as a one-bit compressed sensing problem. They presented a solution using the generalized approximate message passing (GAMP) algorithm to solve this optimization problem. Their results showed that GAMP can reduce the mean squared error in the important low and medium SNR regions.</div>
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<div>This work was presented at the 2014 Asilomar Conference on Signals, Systems, and Computers. The full paper is available <a href="http://www2.ece.ohio-state.edu/~schniter/pdf/asil14_1bit.pdf">HERE</a>. </div>
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<div>The research was funded by the National Science Foundation under Grant Nos. NSF-CCF-1319556, NSF-CCF-1018368 and NSF-CCF-1218754.</div>
</div></div></div><div class="field field-name-field-related-faculty field-type-node-reference field-label-inline clearfix"><div class="field-label">Related Faculty: </div><div class="field-items"><div class="field-item even"><a href="/people/faculty/robert-heath">Robert Heath</a></div></div></div><div class="field field-name-field-related-students field-type-node-reference field-label-inline clearfix"><div class="field-label">Related Researchers: </div><div class="field-items"><div class="field-item even"><a href="/people/students/jianhua-mo">Jianhua Mo</a></div></div></div><div class="field field-name-field-tags field-type-taxonomy-term-reference field-label-inline clearfix"><div class="field-label">Keywords: </div><div class="field-items"><div class="field-item even"><a href="/tags/robert-heath">Robert Heath</a>, <a href="/tags/jianhua-mo">Jianhua Mo</a>, <a href="/tags/wncg-research">WNCG research</a>, <a href="/tags/mmwave-mimo-systems">mmWave MIMO Systems</a>, <a href="/tags/mimo">MIMO</a></div></div></div>Thu, 29 Jan 2015 16:17:39 +0000lab27993623 at https://wncg.orghttps://wncg.org/research/briefs/channel-estimation-millimeter-wave-mimo-systems-one-bit-quantization#comments