Diversity in Communications:
From Source Coding to Wireless Networks

Dr. Suhas Diggavi

AT&T Shannon Labs
180 Park Ave
Florham Park, NJ 07932, USA

Thursday, April 18th, 11:00 AM, ENS 637

suhas@research.att.com


Abstract

Randomness is an inherent part of network communications. We broadly define diversity as creating multiple independent instantiations (conduits) of randomness for conveying information. In the past few years a trend is emerging in several areas of communications, where diversity is utilized for reliable transmission and efficiency. In this talk, we give examples from three topics where diversity is beginning to play an important role.

In transmission over networks, random packet losses degrade performance. Diversity here would be to create conduits with independent packet loss patterns. For example, this can be done by transmission over multiple routes. In order to utilize these conduits, multiple description source coding generates multiple codeword streams to describe a source. The design goal is to have a graceful degradation in performance (in terms of distortion) when only subsets of the transmitted streams are received. We present the design of multiple description lattice quantizers that cover the entire spectrum of the distortion profile, ranging from symmetric or balanced to successively refinable.

As the size of wireless devices shrink and they become pervasive, an attractive architecture is that of a peer-to-peer distributed (ad-hoc) network. Here the source of randomness is the link condition between users. Diversity arises by viewing the different users as conduits for relaying information from source to destination, i.e., multiuser diversity. Recently it has been shown that fixed ad-hoc networks of large scale have per-user session rates that decrease with network size. We have found that even with users restricted to one-dimensional mobility, the (long-term) per-user session rate is of O(1), i.e., large-scale networks can be built without sacrificing the per-user throughput. .The multiuser diversity is utilized since nodes encounter several different nodes in their mobility path and use them as relays.

In wireless transmission, multipath fading is a source of randomness. Here diversity arises by utilizing independent realizations of fading in several domains; time (mobility), frequency (delay spread) and space (multiple antennas). Recent results have shown that multiple antenna spatial diversity (space-time) communication can not only provide robustness, but also dramatically improve reliable data rates. We show that even with (computationally) simple structures the achievable data rate grows linearly with the number of antennas, when the number of antennas become large. .We also summarize our related results on this topic.

Therefore, diversity plays not only a role in robustness, it can also result in remarkable gains in achievable performance over several disparate applications. We end the talk with a brief glimpse of other problems we have been working on, which are steps in the overall research program.

Parts of this talk are joint work with Neil Sloane, Vinay Vaishampayan, Matthias Grossglauser and David Tse.

Biography

Suhas N. Diggavi received his Ph.D. degree in Electrical Engineering from Stanford University in 1998. Currently he is a member of the Information Sciences Center, AT&T Shannon Laboratories, Florham Park, New Jersey. His research interests include wireless communications and networks, information theory, source coding and signal processing.


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