Conference proceeding
Capacity maximization for distributed broadband beamforming
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vol.2016-, pp.3441-3445
03/2016
DOI: 10.1109/ICASSP.2016.7472316
Abstract
Most prior research in distributed beamforming involves narrowband, frequency nonselective, channels, with the goal of sending a common message from cooperating nodes so that phases of the signals transmitted from the different nodes align at the receiver. The performance metric is the received SNR (directly related to the Shannon capacity for an AWGN channel). This "coherence metric" is maximized when each transmitter compensates its channel phase to the receiver, while transmitting at maximum allowable power. In this paper, we consider the problem of distributed transmit beam-forming over broadband, frequency selective channels, defining the coherence metric as the Shannon capacity, to be maximized subject to a power constraint at each transmitter. OFDM provides a natural decomposition of such channels into narrowband subchannels, hence the problem reduces to determining how each transmitter allocates its power across subchannels. A key technical result is that the optimal solution obeys a separation property that significantly simplifies computation. We show that it differs from classical water-filling due to the per-transmitter power constraints of the distributed beamforming setting. We compare it both structurally and numerically, to a centralized beamforming system with power constraint across transmitters. This is like waterfilling and upper bounds the performance of our setup.
Details
- Title: Subtitle
- Capacity maximization for distributed broadband beamforming
- Creators
- Sairam Goguri - University of IowaRaghuraman Mudumbai - University of IowaD. Richard Brown - Department of Electrical and Computer Engineering, Worcester Polytehnic University, Worcester, MA 01609Soura Dasgupta - University of IowaUpamanyu Madhow - University of California, Santa Barbara
- Resource Type
- Conference proceeding
- Publication Details
- 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vol.2016-, pp.3441-3445
- Publisher
- IEEE
- DOI
- 10.1109/ICASSP.2016.7472316
- ISSN
- 1520-6149
- eISSN
- 2379-190X
- Language
- English
- Date published
- 03/2016
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984197068402771
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