Report from IEEE WCNC 2012

IEEE WCNC is the world premier wireless event that brings together industry professionals, academics, and individuals from government agencies and other institutions to exchange information and ideas on the advancement of wireless communications and networking technology. The 2012 edition of this conference was held in Paris, France, on 1 to 4 April 2012. The paper “Dynamic Frequency Allocation and Network Reconfiguration on Relay Based Cellular Network” worked by Dr.Haibo Mei, Dr. John Bigham and Dr. Peng Jiang was accepted in the Mobile and Wireless Networks Program of this conference. The abstract of this paper is in Appendix1.

During the conference trip,it was exciting to meet lots of outstanding researchers and developers in wireless communication field. There were numbers of   key note speeches and presentation sessions. The author received   some valuable comments during the presentation. All these experiences help authors’ further research in the wireless communication filed. Especially, the works “On Fractional Frequency Reuse in Imperfect Cellular Grids”,  “Energy-Efficient Subchannel Allocation Scheme Based on Adaptive Base Station Cooperation in Downlink Cellular Networks”, “Optimized Dual Relay Deployment for LTE-Advanced Cellular Systems” are mostly interesting to the author.

This conference trip is  valuable. It is always fantastic to have such chance to exchange idea with other researchers.


Appendix 1:

Abstract—Relay Based Cellular Networks (RBCNs) are a key development in cellular networking technology. However, because of ever increasing demand and base station failure, RBCNs still suffer from user congestion and low resilience problems. This paper proposes two competing solutions: dynamic frequency allocation and antenna tilting to those problems. Firstly a new dynamic fractional frequency allocation algorithm and a heuristic antenna tilting algorithm are designed. The comparative benefits of each algorithm are investigated. Secondly, the additional benefits of applying the two algorithms sequentially or iteratively are evaluated. The benefits of iteratively integrating the two algorithms are more interesting. Such integration solution allows the two algorithms to be applied cooperatively. The evaluations are based on high demand scenarios and base station failure scenarios. The results show that for the high demand scenarios the new dynamic fractional frequency allocation algorithm is very powerful, and the advantage of antenna tilting is not large though present. However, for the BS failure case there is a marked additional benefit in antenna tilting. The integrated solution achieves significantly more benefit than simple sequential application of the two algorithms.

Report from EACL 2012

13th Conference of the European Chapter of the Association for Computational Linguistics

Day 1:

Workshop on Semantic Analysis in Social Media (SASN2012)

The first half of the day had some pretty interesting talks: on unsupervised part-of-speech tagging for social media, emotional stability on Twitter, speech act tagging for Twitter, topic classification for blogs. The second half was a bit less interesting (IMHO) as it focused more on tools/software, but note this one on predicting Dutch election results. (full workshop proceedings available online here)

Day 2:

Workshop on Computational Models of Language Acquisition and Loss

Mark Steedman’s keynote on CCG grammar induction from semantics was very interesting – there’s little information in the workshop abstract but see the related EACL conference paper. (full workshop proceedings available here).

Workshop on Unsupervised and Semi-Supervised Learning in NLP

Generally interesting for techniques, but mostly applied to standard text tasks (parsing, coreference resolution etc which I find it hard to get excited about). But one on child language acquisition. (full workshop proceedings available here).

Main Conference:

The keynote speeches were great: Martin Cooke on how to make speech more intelligible without necessarily making it louder; Regina Barzilay on using reinforcement learning to learn language/semantics directly from task success; Ray Mooney on learning language from context (although I missed that one to come back & give revision lectures …)

Some other highlights for me: Heriot-Watt’s demo of their most recent POMDP dialogue system; Postdam/Bielefeld’s experiments on improving NLU by using incremental pragmatic information; some nice stuff on unsupervised learning of semantic roles; and possibly the worst talk I have ever had the misfortune to sit through (I won’t link to it but it’s on paraphrase generation via machine translation, if you really want to find it. I’m sure the paper’s excellent).

Oh, and my & Stuart’s paper on Twitter emotion detection of course.

Full proceedings available here.