2018/01/15 by Mohammed S. Al-Abiad, Ahmed Douik, Al-Abiad, Mohammed S. +5
Computer Science · Engineering · #Cooperative Communication and Network Coding #Advanced Wireless Communication Technologies #Advanced MIMO Systems Optimization
paper · pdf · doi:10.48550/arxiv.1801.05104
This paper is interested in maximizing the total throughput of cloud radio\naccess networks (CRANs) in which multiple radio remote heads (RRHs) are\nconnected to a central computing unit known as the cloud. The transmit frame of\neach RRH consists of multiple radio resources blocks (RRBs), and the cloud is\nresponsible for synchronizing these RRBS and scheduling them to users. Unlike\nprevious works that consider allocating each RRB to only a single user at each\ntime instance, this paper proposes to mix the flows of multiple users in each\nRRB using instantly decodable network coding (IDNC). The proposed scheme is\nthus designed to jointly schedule the users to different RRBs, choose the\nencoded file sent in each of them, and the rate at which each of them is\ntransmitted. Hence, the paper maximizes the throughput which is defined as the\nnumber of correctly received bits. To jointly fulfill this objective, we design\na graph in which each vertex represents a possible user-RRB association,\nencoded file, and transmission rate. By appropriately choosing the weights of\nvertices, the scheduling problem is shown to be equivalent to a maximum weight\nclique problem over the newly introduced graph. Simulation results illustrate\nthe significant gains of the proposed scheme compared to classical coding and\nuncoded solutions.\n