Balancing Weighted Substreams in MIMO Interference Channels

Yetis, Cenk M.; Zeng, Yong; Anand, Kuljeet Singh; Guan, Yong Liang; Gunawan, E.

doi:10.1109/lwc.2014.2336247

Cited by 2 publications

(1 citation statement)

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“…Possibly due to the increased costs and less likely of having mobile devices with multiple antennas in the very near future, so far all existing IA testbeds consider single stream transmission. For multi-stream transmission, more antennas needed that increase the cost, and many more metrics can be considered including prioritized streaming [30]. …”

Section: Mimo Beamformingmentioning

confidence: 99%

Implementation aspects for interference alignment

Yetis

Anand

Kayran

et al. 2015

2015 IEEE International Conference on Digital Signal Processing (DSP)

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Several interference alignment (IA) testbeds have been reported by research groups that validate the theoretical findings thus demonstrating the feasibility of IA. The design complexity of the IA testbed is significant since many simultaneous wireless links have to be established to observe the benefits of IA. Therefore, the already enormous efforts needed for the development of multiple-input multiple-output (MIMO) testbeds are folded multiple times in IA testbeds. In general, testbeds can be categorized into three groups depending on the hardware platform, generic, specific and the hybrid of two. Clearly, developing on generic, hybrid and application specific platforms in turn are the safe steps towards real life prototyping. There are many research groups that have been developing IA on generic platforms [1]- [17]. To the best of our knowledge, there is only one research group that has developed on a hybrid platform [18], and none on the application specific platform. In this paper, we review the experimental IA evaluations in the literature, include important aspects from well-known prototyping principles in the picture, and give comparative discussion with the state-of-art wireless communications testbeds.

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Section: Mimo Beamformingmentioning

confidence: 99%