One-Bit Null Space Learning for MIMO underlay cognitive radio

Noam, Yair; Goldsmith, Andrea

doi:10.1109/ita.2013.6502962

Cited by 4 publications

(2 citation statements)

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“…SU maps its signals onto the null space of H. SU and PU are operating at the same frequency band, therefore we assume reciprocity of wireless channel H. Primary system can periodically inform the SU about its status, through a cognitive pilot channel (CPC) [3]. Nevertheless, in the noncooperative scenario, SU has to estimate the interference channel in order to shape its waveform in a way that does not interfere with PU [8].…”

Section: Introductionmentioning

confidence: 99%

On effects of imperfect channel state information on null space based cognitive MIMO communication

Sodagari¹

2015

2015 International Conference on Computing, Networking and Communications (ICNC)

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Abstract-In cognitive radio networks, when secondary users transmit in the null space of their interference channel with primary user, they can avoid interference. However, performance of this scheme depends on knowledge of channel state information for secondary user to perform inverse waterfilling. We evaluate the effects of imperfect channel estimation on error rates and performance degradation of primary user and elucidate the tradeoffs, such as amount of interference and guard distance. Results show that, based on the amount of perturbation in channel matrices, performance of null space based technique can degrade to that of open loop MIMO. Outcomes presented in this paper also apply to null space based MIMO radar waveform design to avoid interference with commercial communication systems, operating in same or adjacent bands.Index Terms-ognitive radio, MIMO communications, null space projection, channel state information, perturbation theory.ognitive radio, MIMO communications, null space projection, channel state information, perturbation theory.C

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Section: Introductionmentioning

confidence: 99%

On effects of imperfect channel state information on null space based cognitive MIMO communication

Sodagari¹

2015

2015 International Conference on Computing, Networking and Communications (ICNC)

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“…Also, receivers in our formulation cooperate with the distributed transmit array, for example by explicitly sending required feedback, yielding a far simpler problem formulation in contrast to certain interference avoidance techniques proposed in [22,23,24] which require the transmitters to implicitly learn the nullspace by probing the MIMO channel with different precoding vectors and observing indirect measures of the SINR, e.g., power control, at the receivers to which the nulls are steered, and thereby determine a suitable nullforming precoding vector.…”

Section: Introductionmentioning

confidence: 99%