2020/03/04 by Mohamed Salah Ibrahim, Ibrahim, Mohamed Salah, Nicholas D. Sidiropoulos +1
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Cooperative Communication and Network Coding #FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Signal Processing (eess.SP) #Wireless Communication Networks Research #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2003.02255
openalex publication_date 2020/03/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Providing reliable service to users close to the edge between cells remains a\nchallenge in cellular systems, even as 5G deployment is around the corner.\nThese users are subject to significant signal attenuation, which also degrades\ntheir uplink channel estimates. Even joint detection using base station (BS)\ncooperation often fails to reliably detect such users, due to near-far power\nimbalance, and channel estimation errors. Is it possible to bypass the channel\nestimation stage and design a detector that can reliably detect cell-edge user\nsignals under significant near-far imbalance? This paper shows, perhaps\nsurprisingly, that the answer is affirmative -- albeit not via traditional\nmultiuser detection. Exploiting that cell-edge user signals are weak but em\ncommon to different base stations, while cell-center users are unique to their\nserving BS, this paper establishes an elegant connection between cell-edge user\ndetection and canonical correlation analysis (CCA) of the associated space-time\nbaseband-equivalent matrices. It proves that CCA identifies the common subspace\nof these matrices, even under significant intra- and inter-cell interference.\nThe resulting mixture of cell-edge user signals can subsequently be unraveled\nusing a well-known algebraic signal processing technique. Interestingly, the\nproposed approach does not even require that the signals from the different\nbase stations are synchronized -- the right synchronization can be\nautomatically determined as well. Experimental results demonstrate that the\nproposed approach achieves order of magnitude BER improvements compared to\n`oracle' multiuser detection that assumes perfect knowledge of the cell-center\nuser channels.\n