Wednesday, July 14, 2010

Workshop - Adelaide, South Australia

Recently ACoRN has organized a workshop (28-30 June 2010) held in Mawson Lakes, South Australia. I attended the workshop and presented my work, titled "On The Properties of Infrastructure-based Wireless Multi-hop Networks". You can find the workshop program here (http://www.acorn.net.au/event/mwnworkshop10/).

I also spent some time in Adelaide city. I used to study at the University of Adelaide. It is a good feeling to revisit the beautiful city again.

Some photos:

King William Street - Trams have replaced the 99B buses.


Victoria Park - the heart of Adelaide city.


Lollipops... I'm loving it!


Rundle Mall @ night time.

Conference - Cape Town, South Africa

I went to Cape Town, South Africa during 23-27 May, 2010 to attend IEEE ICC 2010. I presented my paper there, met some brilliant people in the conference. Although people say South Africa is not a safe place, I think it is beautiful. We can even see seals swimming around the harbour. See? Human can live peacefully with animals....

Here are some photos:

Johannesburg Airport - get ready for World Cup 2010


Cape Town & Table Mountain


Table Mountain Cableway


I am standing on top of Castle of Good Hope. Background is Cape Town City Hall. South Africa ex-president Mr. Nelson Mandela gave a historical talk there before.


Bo-Kaap district, where the Cape Town Malays stay.


Waterfront @ day time


Waterfront @ night time

Journal Paper - IEEE Journal on Selected Areas in Communications

Seh Chun Ng, Wuxiong Zhang, Yu Zhang, Yang Yang, and Guoqiang Mao, "Analysis of Access and Connectivity Probabilities in Vehicular Relay Networks," to appear in IEEE Journal on Selected Areas in Communications.

Abstract:

IEEE 802.11p and 1609 standards are currently under development to support Vehicle-to-Vehicle and Vehicle-to-Infrastructure communications in vehicular networks. For infrastructure-based vehicular relay networks, access probability is an important measure which indicates how well an arbitrary vehicle can access the infrastructure, i.e. a base station (BS). On the other hand, connectivity probability, i.e. the probability that all the vehicles are connected to the infrastructure, indicates the service coverage performance of a vehicular relay network. In this paper, we develop an analytical model with a generic radio channel model to fully characterize the access probability and connectivity probability performance in a vehicular relay network considering both one-hop (direct access) and two-hop (via a relay) communications between a vehicle and the infrastructure. Specifically, we derive close-form equations for calculating these two probabilities. Our analytical results,
validated by simulations, reveal the tradeoffs between key system parameters, such as inter-BS distance, vehicle density, transmission ranges of a BS and a vehicle, and their collective impact on access probability and connectivity probability under different communication channel models. These results and new knowledge about vehicular relay networks will enable network designers and operators to effectively improve network planning, deployment and resource management.

Wednesday, July 7, 2010

Conference Paper - Globecom 2010

Seh Chun Ng and Guoqiang Mao, “Analysis of k-Hop Connectivity Probability in 2-D Wireless Networks with Infrastructure Support”, to appear in IEEE Global Communications Conference (GLOBECOM), 2010.

Abstract:

Wireless multi-hop networks with infrastructure support have been actively studied to solve the scalability problem in large scale vehicular and sensor networks that the end-to-end throughput and other performance metrics decrease sharply with the increase in the number of nodes in the network. In the infrastructure-based networks, wireless nodes are allowed to access the base stations either directly or via a multi-hop path. In order to provide meaningful services, it is often desirable to limit the number of hops in the wireless multi-hop path. In this paper, we study a 2-D wireless network where users are Poissonly distributed in a square area and base stations are placed at the four corners of the square area as a typical component of a larger network where users are randomly distributed and base stations are regularly deployed. We obtain analytically the exact and approximate k-hop connectivity probability for k=2, i.e. the probability that all users can access to at least one base station in at most two hops, under a generic channel model. The results are verified by simulations and can be used in network planning, design and resource management.