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Abstract-This letter proposes a novel graph-based multi-cell scheduling framework to efficiently mitigate downlink inter-cell interference in small cell OFDMA networks. This framework incorporates dynamic clustering combined with channel-aware resource allocation to provide tunable quality of service measures at different levels. Our extensive evaluation study shows that a significant improvement over the state-of-the-art benchmarks can be achieved in terms of user spectral efficiency in return for reuse factor level via tuning the proposed Quality of Service (QoS) measures.

Millimeter wave (mm-Wave) frequencies between 6 and 100 GHz provide orders of magnitude larger spectrum than current cellular allocations and allow usage of large numbers of antennas for exploiting beamforming and spatial multiplexing gains. In this paper, we elaborate the main design concepts when integrating mm-Wave radio access networks (RANs) into the fifth generation (5G) system, considering aspects like spectrum, architecture, and backhauling/fronthauling. The corresponding radio resource management (RRM) challenges, extended RRM functionalities for 5G mm-Wave RAN, and RRM splits, are addressed, as well. Finally, based on the previous discussions, a framework is proposed which allows joint backhaul and access operation for 5G mm-Wave RAN, which we envisage as one of the key innovative technologies in 5G. The proposed framework consists of a joint scheduling and resource allocation algorithm to improve resource utilization efficiency with low computational complexity and to fully exploit spatial multiplexing gain for fulfilling user demands.