Title :
The Use of Spatially Random Base Stations in Cloud Radio Access Networks
Author :
Zhiguo Ding ; Poor, H. Vincent
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., Princeton, NJ, USA
Abstract :
In this letter, the performance of distributed antenna arrays is characterized in cloud radio access networks with spatially random base stations (BSs). Beamforming is compared to BS selection first, and then the minimal number of BSs to meet a predefined quality of service is analyzed, where stochastic geometry is used to capture the dynamic nature of BS locations.
Keywords :
antenna arrays; array signal processing; cloud computing; geometry; quality of service; radio access networks; stochastic processes; BS locations; BS selection; beamforming; cloud radio access networks; distributed antenna arrays performance; quality of service; spatially random base stations; stochastic geometry; Antenna arrays; Array signal processing; Laplace equations; Probability density function; Rayleigh channels; Signal to noise ratio; Cloud radio access networks; distributed antenna arrays; stochastic geometry;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2013.2282157
