1,721,364 research outputs found
Non-cooperative power control for energy-efficient and delay-aware wireless networks
Full text linkThis work aims at developing a distributed power control algorithm for energy efficiency maximization (measured in bit/Joule) in wireless networks. Unlike most previous works, a new formulation is proposed to jointly account for the energy efficiency and communication delay while ensuring quality-of-service constraints. A non-cooperative game-theoretic approach is taken, and feasibility conditions are derived for the best-response of the game. Under the assumption that these conditions are met, it is shown that the game admits a unique Nash equilibrium, which is guaranteed to be reached by implementing the game best-response dynamics. Based on these results, a convergent power control algorithm is derived, which can be implemented in a fully decentralized fashion
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Impact of the Power of the Steering Directions on the Asymptotic Capacity of MIMO Channels
No full textIn this contribution, the double directional model derived within the maximum entropy framework in [1] is studied. For a given power profile, an asymptotic analysis (in the number of antennas) is conducted on the achievable transmission limit using tools of random matrix theory. It is shown in particular that the optimal throughput is achieved when the scatterers have equally distributed powers. For special cases, the mutual information is proven to be asymptotically Gaussian
Uplink capacity of self-organizing clustered orthogonal CDMA networks in flat fading channels
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