Exploration of an Opportunistic Overlaid Paradigm for Complex Networks via Stochastic Geometry
Abstract
In this project, we focused on large complex networks and mainly investigated the following major issues: 1) We studied the overlaid complex networking systems where a primary network tier is coexisting with an opportunistic network tier. With stochastic geometry tools, we first showed that both tiers could achieve the same throughput scaling and then showed that the primary throughput scaling can be improved by allowing the opportunistic tier to help with relaying primary traffic. 2) We then studied the enabling techniques for primary vs. opportunistic coexisting network systems, where we mainly investigated how the opportunistic network senses the primary spectrum usage and detect primary occupancy in a distributed fashion, for which we established the respective asymptotic convergence results based on the Random Dynamic System theories. 3) We finally studied the related resource allocation strategies in large random networks, where we redefine the related transmission capacity concepts to quantify the system performance.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 2012
- Accession Number
- ADA564234
Entities
People
- Changchuan Yin
- Di Li
- Lauren Huie
- Long Gao
- Meng Zeng
- Qing Zhou
- Rui Zhang
- Shuguang Cui
- Soummya Kar
- Vince H. Poor
Organizations
- Texas A&M University