Journal
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
Volume 61, Issue 7, Pages 3814-3827Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAP.2013.2254442
Keywords
Analog beamforming; discrete lens array; gigabit wireless; high-dimensional MIMO; lens antennas; millimeter-wave communication; multiple-input multiple-output (MIMO) systems; transceiver complexity
Funding
- National Science Foundation [ECCS-1052628]
- Wisconsin Alumni Research Foundation (WARF)
- Directorate For Engineering
- Div Of Electrical, Commun & Cyber Sys [1052628] Funding Source: National Science Foundation
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Millimeter-wave wireless systems are emerging as a promising technology for meeting the exploding capacity requirements of wireless communication networks. Besides large bandwidths, small wavelengths at mm-wave lead to a high-dimensional spatial signal space, that can be exploited for significant capacity gains through high-dimensional multiple-input multiple-output (MIMO) techniques. In conventional MIMO approaches, optimal performance requires prohibitively high transceiver complexity. By combining the concept of beamspace MIMO communication with a hybrid analog-digital transceiver, continuous aperture phased (CAP) MIMO achieves near-optimal performance with dramatically lower complexity. This paper presents a framework for physically-accurate computational modeling and analysis of CAP-MIMO, and reports measurement results on a DLA-based prototype for multimode line-of-sight communication. The model, based on a critically sampled system representation, is used to demonstrate the performance gains of CAP-MIMO over state-of-the-art designs at mm-wave. For example, a CAP-MIMO system can achieve a spectral efficiency of 10-20 bits/s/Hz with a 17-31 dB power advantage over state-of-the-art, corresponding to a data rate of 10-200 Gbps with 1-10 GHz system bandwidth. The model is refined to analyze critical sources of power loss in an actual multimode system. The prototype-based measurement results closely follow the theoretical predictions, validating CAP-MIMO theory, and illustrating the utility of the model.
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