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To achieve the maximum network energy efficiency (EE) and guarantee the fairness of EE among cognitive users (CUs), respectively, in the massive multiple-input multiple-output cognitive radio network, we investigate two power optimization problems: network EE optimization problem (NEP) and fair EE optimization problem (FEP) under a practical power consumption model. Because of the fractional nature...
This paper focuses on the power optimization problem for the max-min fairness of energy efficiency (EE) among cognitive users (CUs) in an underlay massive multiple-input multiple-output (MIMO) cognitive radio network (CRN). We formulate this problem as the maximization of the minimum EE of CUs, subject to their minimum data rate requirements and transmit power constraints. However, the problem is...
In this paper, a joint Base Station (BS) and Relay Station (RS) sleep scheduling algorithm is proposed for relay-aided cellular networks based on Cellular Automata (CA). By applying the self-organizing character of CA, the number of active BSs and RSs converges to a stable state to save energy. A suboptimal value of energy efficiency of the relay-aided cellular network is obtained via a CA algorithm...
Due to potential heterogeneity in criticality of sensing data, machine-to-machine (M2M) networks are required to provide multi-level connectivity to the sink for device nodes. In this paper, topology control is discussed for M2M networks consisting of two different types of device nodes, called supernodes and ordinary nodes. Supernodes are required to have k node-disjoint paths to the sink while ordinary...
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