2015/02/26 by Oussama Dhifallah, Hayssam Dahrouj, Dhifallah, Oussama +5
Engineering · #Advanced MIMO Systems Optimization #Antenna Design and Optimization #FOS: Computer and information sciences #Information Theory (cs.IT) #Millimeter-Wave Propagation and Modeling
paper · pdf · doi:10.48550/arxiv.1502.07586
openalex publication_date 2015/02/26 · openalex created_date 2022/10/03 · openalex updated_date 2026/07/28
The cloud-radio access network (CRAN) is expected to be the core network\narchitecture for next generation mobile radio systems. In this paper, we\nconsider the downlink of a CRAN formed of one central processor (the cloud) and\nseveral base-station (BS), where each BS is connected to the cloud via either a\nwireless or capacity-limited wireline backhaul link. The paper addresses the\njoint design of the hybrid backhaul links (i.e., designing the wireline and\nwireless backhaul connections from the cloud to the BSs) and the access links\n(i.e., determining the sparse beamforming solution from the BSs to the users).\nThe paper formulates the hybrid backhaul and access link design problem by\nminimizing the total network power consumption. The paper solves the problem\nusing a two-stage heuristic algorithm. At one stage, the sparse beamforming\nsolution is found using a weighted mixed `1=`2 norm minimization approach; the\ncorrelation matrix of the quantization noise of the wireline backhaul links is\ncomputed using the classical rate-distortion theory. At the second stage, the\ntransmit powers of the wireless backhaul links are found by solving a power\nminimization problem subject to quality-of-service constraints, based on the\nprinciple of conservation of rate by utilizing the rates found in the first\nstage. Simulation results suggest that the performance of the proposed\nalgorithm approaches the global optimum solution, especially at high\nsignal-to-interference-plus-noise ratio (SINR).\n