Programme  

 

Day 1/1 (Date: April 10, 2008)

 

09:00      Welcome

Trevor Gill, Head of Networks, Vodafone Group R&D, UK

and

Walter Tuttlebee, Chief Executive, Mobile VCE, UK

Welcome and introduction to the proceedings with an outline of the original objectives of the project.

 

09:30      Capacity of Variable Density Cellular System with Distributed Users

Dr Muhammad A Imran, Research Fellow from University of Surrey, UK

Abstract--In the information-theoretic literature, the Wyner’s model has been the starting point for studying the capacity limits of cellular systems. Wyner’s simple infinite cellular model was adopted and extended by researchers in order to incorporate flat fading environments and power-law path loss models. However, the majority of these extensions have preserved a fundamental assumption of Wyner’s model, namely the co-location of User Terminals (UTs). In this talk, we present our work that alleviate this assumption and assumes a variable density cellular system with user distribution. The model under investigation is a cellular system where power-law path loss and Rayleigh flat fading is present. The presented results are interpreted in the context of practical cellular systems using appropriate figures of merit.

 

10:15     Evaluating Capacity of MIMO Cellular Systems

Dr Alister Burr, Professor from University of York, UK

Abtract--In MIMO cellular systems it is important to take into account the directional characteristics of interference, since receive antenna arrays can perform spatial filtering and hence significantly reduce the effect of such interference by exploiting its direction.  Moreover adaptive, or closed loop MIMO transmissions can also provide directional transmission, and hence not only increase gain to the wanted receiver but also reduce interference to other users.

Note, however, that it is not straightforward to evaluate the user capacity of cellular systems, even when simplifying assumptions are made about radio propagation. Previous approaches have tended either to use analytical methods which make further simplifying assumptions which limit applicability, or are based on simulation of a large number of users over a number of cells, and hence are extremely computationally complex. These issues are further complicated by the use of MIMO, and especially by adaptive MIMO.

Hence the presentation will first discuss the benefits available from MIMO with spatial filtering and adaptive MIMO. It will then consider the system capacity evaluation problem for cellular systems in general, describing the principle of reduced complexity simulation methods, and finally discuss how these might be extended to spatially filtered and adaptive MIMO systems.

 

11:00      Coffee break

 

11:15      On Capacity Limits of Multi-Cell Cooperative Cellular Systems under a Constrained Backhaul

Dr Gerhard Fettweis, Professor from University of Dresden, Germany

Abtract--Recently, multi-cell joint transmission and joint detection schemes have been identified as promising features of next generation mobile communications systems, as they enable to actively exploit inter-cell interference rather than treating it as noise. Both for uplink and downlink, concrete algorithms have been proposed, and strong increases in spectral efficiency and system fairness have been predicted. Besides posing strong requirements towards the time and frequency synchronization of communicating entities, one essential problem connected to multi-cell cooperative signal processing is the large extent of backhaul required between base stations. In this presentation, we will observe the capacity limits of both uplink and downlink transmissions in small toy scenarios, if only limited cooperation between base stations is possible. The presentation will reveal that different forms of cooperation (in terms of the kind of information that is exchanged over the backhaul) are possible, and that a practical system should ideally switch between these cooperation schemes according to the current channel realization.

 

12:00      Encoding/Decoding Strategies and Achievable Rates for Cooperative Multiple Access Channels

Dr Onur Kaya, Assistant Professor from Isik University, Istanbul Turkey

Abstract--The wireless medium brings along its unique challenges such as fading and multiuser interference, which make the analysis of communication systems more complicated. On the other hand, the same challenging properties of such systems are what give rise to the concepts such as diversity, over-heard information, etc., which can be carefully exploited to the advantage of the network capacity.

In this talk, we will explore some recent results the achievable rates of cooperative multiple access channels (MAC). We will focus on power control for the two-user cooperative MAC, and show that it automatically dictates optimum transmit and relay strategies, thereby yielding a cross-layer type of solution. Then, we will present novel block Markov based adaptive encoding and decoding strategies, and the associated rate regions, for the three-user cooperative MAC with channel state information. This type of channel is of particular importance not only because it provides increased diversity to all participating users, but also because it contains as special cases the multiple relay channel and the multiple access relay channel, and may be viewed as a simple building block of wireless ad-hoc networks.

 

12:45    Remote Presentation: Wireless: From Networks to Systems

Dr Panganamala Kumar, Professor from University of Illinois at Urbana Champaign, USA

Abstract We address issues ranging from wireless networks, to sensor networks, and networked control. We begin by addressing the question of what should be the architecture of wireless networks. Then turning to sensor networks, we address the issue of how information should be processed in-network within such systems. Finally, we turn to the issue of abstractions and architectures for networked control.

(Joint work with many graduate students).

 

13:30      Lunch break

 

14:30      Remote Presentation: Capacity Scaling in Arbitrary Wireless Networks

Dr Piyush Gupta, Researcher from Bell Labs, Alcatel-Lucent, USA

Abstract-- Recently, there has been considerable interest in multi-hop wireless networks. Example scenarios are hybrid networks consisting of a mix of base stations, relays, pico-/femto-cells, peer-to-peer users, etc., automated transportation networks, and in defense environments. An important issue is how the per-user throughput scales in such networks with the number of users?

In this talk, we will first review some recently proposed multi-user cooperation schemes for achieving optimal throughput scaling in random wireless networks (i.e., users are located uniformly at random in a given region).  These schemes are, however, strongly dependent on the uniform random placement of users -- they do not work well when users are arbitrarily located, which will often be the case in general networks. We will then discuss new cooperation schemes that also work efficiently for near-arbitrary user locations.

The talk is based on joint work with U. Niesen and D. Shah, MIT.

 

15:15     Remote Presentation: Recent Progress on the Interference Channel

Dr David Tse, Professor from University of California at Berkeley, USA

Abstract One approach to mitigating interference in wireless systems is through infrastructure cooperation: base stations cooperate to jointly decode and transmit signals to the mobile users, thus converting interference into useful signals. Here we explore an alternative framework where there is no cooperation between either the transmitters or the receivers. This is more practical in cellular systems where there is no centralized processing and in peer-to-peer wireless networks with completely decentralized processing. The information theoretic model for this communication scenario is the interference channel. Recently there has been significant progress on our information theoretic understanding of this channel. Two key ideas emerged: partial interference cancellation and interference alignment. In this talk we discuss these ideas.

 

16:00      Coffee break

 

16:15     Panel discussion

All

 

18:00     End of Workshop

 

19:30     Dinner