2020/01/16 by Hamdi Joudeh, Giuseppe Caire, Joudeh, Hamdi +1
Biochemistry, Genetics and Molecular Biology · Engineering · #Advanced MIMO Systems Optimization #FOS: Computer and information sciences #Genomic variations and chromosomal abnormalities #Information Theory (cs.IT) #Sparse and Compressive Sensing Techniques
paper · pdf · doi:10.48550/arxiv.2001.05935
openalex publication_date 2020/01/16 · openalex created_date 2022/07/18 · openalex updated_date 2026/07/28
In this work, we study the generalized degrees-of-freedom (GDoF) of downlink\nand uplink cellular networks, modeled as Gaussian interfering broadcast\nchannels (IBC) and Gaussian interfering multiple access channels (IMAC),\nrespectively. We focus on regimes of low inter-cell interference, where\nsingle-cell transmission with power control and treating inter-cell\ninterference as noise (mc-TIN) is GDoF optimal. Recent works have identified\ntwo relevant regimes in this context: one in which the GDoF region achieved\nthrough mc-TIN for both the IBC and IMAC is a convex polyhedron without the\nneed for time-sharing (mc-CTIN regime), and a smaller (sub)regime where mc-TIN\nis GDoF optimal for both the IBC and IMAC (mc-TIN regime). In this work, we\nextend the mc-TIN framework to cellular scenarios where channel state\ninformation at the transmitters (CSIT) is limited to finite precision. We show\nthat in this case, the GDoF optimality of mc-TIN extends to the entire mc-CTIN\nregime, where GDoF benefits due to interference alignment (IA) are lost. Our\nresult constitutes yet another successful application of robust outer bounds\nbased on the aligned images (AI) approach.\n