Adaptive Beamforming and Modulation Design for 5G V2I Networks

A Primer on Contextual Beamforming Techniques that Exploit a User’s Location Information

“…The authors of [70] review a lowcomplexity shrinkage-based mismatch estimation batch algorithm to estimate the desired signal steering vector mismatch, in which the interference-plus-noise covariance matrix is also estimated by a recursive matrix shrinkage method. whereas, [71] employs a two-stage design approach; the first stage considers the beamforming design, and the second stage considers adaptive power allocation, and modulation designs for fixed beamforming. They [71] propose a novel and general approach to derive the statistical distribution of signal to noise ratio (SNR) by exploiting the structure of the array, the BF type and slow fading channel coefficients, and utilize the derived SNR distribution to design the power and modulation adaptation strategies.…”

“…whereas, [71] employs a two-stage design approach; the first stage considers the beamforming design, and the second stage considers adaptive power allocation, and modulation designs for fixed beamforming. They [71] propose a novel and general approach to derive the statistical distribution of signal to noise ratio (SNR) by exploiting the structure of the array, the BF type and slow fading channel coefficients, and utilize the derived SNR distribution to design the power and modulation adaptation strategies. The scheme in [72] allows the UE and the base station to perform a coordinated beam search from a small set of beams within the error boundary of the location information, the selected beams are then used to guide the search of future beams.…”