12,870 research outputs found
Radiative Neutrino Mass with Dark matter: From Relic Density to LHC Signatures
In this work we give a comprehensive analysis on the phenomenology of a
specific dark matter (DM) model in which neutrino mass is
induced at two loops by interactions with a DM particle that can be a complex
scalar or a Dirac fermion. Both the DM properties in relic density and direct
detection and the LHC signatures are examined in great detail, and indirect
detection for gamma-ray excess from the Galactic Center is also discussed
briefly. On the DM side, both semi-annihilation and co-annihilation processes
play a crucial role in alleviating the tension of parameter space between relic
density and direct detection. On the collider side, new decay channels
resulting from particles lead to distinct signals at LHC.
Currently the trilepton signal is expected to give the most stringent bound for
both scalar and fermion DM candidates, and the signatures of fermion DM are
very similar to those of electroweakinos in simplified supersymmetric models.Comment: 40 pages, 24 figure
A Bibliometric Review of Research Trends in Social CRM
Social customer relationship management (social CRM) is a relatively new domain, numerous studies have begun to emerge along the border between CRM and social media. This study uses the method of bibliometrics to sort out and analyze the development of social CRM study, and conducts statistical analysis and co-citation network of the literature sample. There has been a significant growth in the social CRM literature with America, China and England being the main contributors. The newest social CRM hotspots focus on the value creation and technical approach of social CRM. The research ideas and conclusions of this paper are of some enlightenment to the academic research and practical application of social CRM
Information-Coupled Turbo Codes for LTE Systems
We propose a new class of information-coupled (IC) Turbo codes to improve the
transport block (TB) error rate performance for long-term evolution (LTE)
systems, while keeping the hybrid automatic repeat request protocol and the
Turbo decoder for each code block (CB) unchanged. In the proposed codes, every
two consecutive CBs in a TB are coupled together by sharing a few common
information bits. We propose a feed-forward and feed-back decoding scheme and a
windowed (WD) decoding scheme for decoding the whole TB by exploiting the
coupled information between CBs. Both decoding schemes achieve a considerable
signal-to-noise-ratio (SNR) gain compared to the LTE Turbo codes. We construct
the extrinsic information transfer (EXIT) functions for the LTE Turbo codes and
our proposed IC Turbo codes from the EXIT functions of underlying convolutional
codes. An SNR gain upper bound of our proposed codes over the LTE Turbo codes
is derived and calculated by the constructed EXIT charts. Numerical results
show that the proposed codes achieve an SNR gain of 0.25 dB to 0.72 dB for
various code parameters at a TB error rate level of , which complies
with the derived SNR gain upper bound.Comment: 13 pages, 12 figure
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