A Generalized Model for Cost and Fairness Analysis in Coded Cooperative Data Exchange
We consider the issues of cost and fairness in the problem of cooperative data exchange among a group of wireless clients. In this problem, each client initially holds a subset of packets and needs to obtain the full set of packets through cooperation with other clients via a shared broadcast channel. To find minimum cost transmission schemes, we propose a general model for the problem which is based on network information flow with side information available to the sinks. As a special case of minimum cost solutions, the minimum number of required transmissions is studied in detail. We show that packet splitting is a natural consequence of solving the linear programming associated with the mentioned network flow problem. Our main observation is that splitting the packets not only minimizes the number of transmissions, but also it results in considerably more fairness compared to the case where splitting is not allowed. Hence, incentive-based long-term cooperation among users can be sustained.
Shahriar Etemadi Tajbakhsh Parastoo Sadeghi Ramtin Shams
Research School of Information Sciences and Engineering The Australian National University Canberra, 0200, Australia
国际会议
2011 International Symposium on Network Coding(2011网络编码国际会议 NETCOD 2011)
北京
英文
1-6
2011-07-25（万方平台首次上网日期，不代表论文的发表时间）