Blind Null-Space Learning for MIMO Underlay Cognitive Radio Networks

Details Blind Null-Space Learning for MIMO Underlay Cognitive Radio Networks Blind Null-Space Learning for MIMO Underlay Cognitive Radio Networks

2012-02-02

arxiv.org/abs/1202.0366v1

Computer Science

Information Theory

Scientific paper

This paper proposes a blind technique for MIMO cognitive radio Secondary Users (SU) to transmit in the same band simultaneously with a Primary User (PU) under a maximum interference constraint. In the proposed technique, the SU is able to meet the interference constraint of the PU without explicitly estimating the interference channel matrix to the PU and without burdening the PU with any interaction with the SU. The only condition required of the PU is that for a short time interval it uses a power control scheme such that its transmitted power is a monotonic function of the interference inflicted by the SU. During this time interval, the SU iteratively modifies the spatial orientation of its transmitted signal and measures the effect of this modification on the PU's total transmit power. The entire process is based on energy measurements which is very desirable from an implementation point of view.

Affiliated with

Also associated with

No associations

Rating

Blind Null-Space Learning for MIMO Underlay Cognitive Radio Networks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Blind Null-Space Learning for MIMO Underlay Cognitive Radio Networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Blind Null-Space Learning for MIMO Underlay Cognitive Radio Networks will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-187067