27,222 research outputs found
Throughput and Robustness Guaranteed Beam Tracking for mmWave Wireless Networks
With the increasing demand of ultra-high-speed wireless communications and
the existing low frequency band (e.g., sub-6GHz) becomes more and more crowded,
millimeter-wave (mmWave) with large spectra available is considered as the most
promising frequency band for future wireless communications. Since the mmWave
suffers a serious path-loss, beamforming techniques shall be adopted to
concentrate the transmit power and receive region on a narrow beam for
achieving long distance communications. However, the mobility of users will
bring frequent beam handoff, which will decrease the quality of experience
(QoE). Therefore, efficient beam tracking mechanism should be carefully
researched. However, the existing beam tracking mechanisms concentrate on
system throughput maximization without considering beam handoff and link
robustness. This paper proposes a throughput and robustness guaranteed beam
tracking mechanism for mobile mmWave communication systems which takes account
of both system throughput and handoff probability. Simulation results show that
the proposed throughput and robustness guaranteed beam tracking mechanism can
provide better performance than the other beam tracking mechanisms.Comment: Accepted by IEEE/CIC ICCC 201
Evolutionary multiplayer games on graphs with edge diversity
Evolutionary game dynamics in structured populations has been extensively
explored in past decades. However, most previous studies assume that payoffs of
individuals are fully determined by the strategic behaviors of interacting
parties and social ties between them only serve as the indicator of the
existence of interactions. This assumption neglects important information
carried by inter-personal social ties such as genetic similarity, geographic
proximity, and social closeness, which may crucially affect the outcome of
interactions. To model these situations, we present a framework of evolutionary
multiplayer games on graphs with edge diversity, where different types of edges
describe diverse social ties. Strategic behaviors together with social ties
determine the resulting payoffs of interactants. Under weak selection, we
provide a general formula to predict the success of one behavior over the
other. We apply this formula to various examples which cannot be dealt with
using previous models, including the division of labor and relationship- or
edge-dependent games. We find that labor division facilitates collective
cooperation by decomposing a many-player game into several games of smaller
sizes. The evolutionary process based on relationship-dependent games can be
approximated by interactions under a transformed and unified game. Our work
stresses the importance of social ties and provides effective methods to reduce
the calculating complexity in analyzing the evolution of realistic systems.Comment: 50 pages, 7 figure
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