On the impact of bounded rationality in peer-to-peer networks

Hyunggon Park, Mihaela van der Schaar

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


In this letter, we consider peer-to-peer (P2P) networks, where multiple peers are interested in sharing their content. In the considered P2P system, autonomous and self-interested peers use a Markov Decision Process (MDP) framework to determine their upload bandwidth allocations, which maximize their individual utilities. This framework enables the peers to make foresighted decisions on their bandwidth allocations, by considering the future impact of their decisions. In this letter, we focus on the impact of the peers' bounded rationality on their resource reciprocation strategies and ultimately, on their achievable utilities. Specifically, we consider peers who have only a limited ability to model the other peers' strategies for resource reciprocation, and study how this impacts their own decisions.

Original languageEnglish
Pages (from-to)675-678
Number of pages4
JournalIEEE Signal Processing Letters
Issue number8
StatePublished - 2009

Bibliographical note

Funding Information:
Manuscript received January 30, 2009; revised April 08, 2009. First published May 02, 2009; current version published June 05, 2009. This work was supported by the NSF Career and NSF CCF 0830556. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. James E. Fowler.


  • Accuracy
  • Bandwidth
  • Bounded rationality
  • Data mining
  • IEEE
  • Peer to peer computing
  • Peer-to-peer (P2P) networks
  • Probability density function
  • Resource reciprocation
  • Silicon


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