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Device-to-device (D2D) communications have recently been considered as promising means to enhance resource utilization of cellular network. In this paper, we investigate joint channel assignment and power allocation to maximize utility of cellular users as well as throughput of every D2D pair, while guaranteeing minimal transmission rate of cellular users from a Nash bargaining theory point of view,...
Today, most spectrum allocation algorithms use conflict graphs to capture interference conditions. The use of conflict graphs, however, is often questioned by the wireless community for two reasons. First, building accurate conflict graphs requires significant overhead, and hence does not scale to outdoor networks. Second, conflict graphs cannot properly capture accumulative interference. In this...
Building accurate interference maps is critical for performing reliable and efficient spectrum allocation. In this work, we use empirical data to explore the feasibility of using measurement-calibrated propagation models to build accurate interference models. Our work shows that calibrated propagation models generate location-dependent signal prediction errors. Such error pattern leads to conservative...
Switching underutilized base stations (BSs) to sleep mode is recognized as a promising approach to reduce energy consumption of cellular networks, but it may increase the transmit power of remaining active BSs to guarantee service coverage. Coordinated multi-point (CoMP) can effectively reduce transmit power of BSs through BS cooperation but requiring extra power consumption due to extra signal processing...
In this paper, we propose a novel cross-layer framework, which includes a two-level resource management to efficiently allocate subchannels among cell BSs (at the super-frame level) and do resource scheduling (at frame level) among intra-cell users based on channel condition and QoS requirement, and a system-level call admission control. The coordination among a plurality of BSs in the OFDMA-based...
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