Conference proceeding
Participation Incentives on a Wireless Random Access Erasure Collision Channel [Short talk]
2018 INFORMATION THEORY AND APPLICATIONS WORKSHOP (ITA), pp 1-6
01 Jan 2018
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Random medium access on wireless channels has two key characteristics: heterogeneous channel quality across users (due to the variable wireless channel conditions with the access point across users) and packet collisions (due to random access) at the access point. The design of optimal channel contention probabilities is non-trivial on account of the need to balance between under-utilization (no transmission attempts) and over-utilization (channel collisions) of the wireless channel. The wireless random access erasure collision channel presented in this paper is a parsimonious abstraction of these phenomena. We consider a scenario wherein the base station provides a reward to users in proportion to the rate of successfully received packets, and users incur a cost in proportion to their contention probability. The objective is to select a reward such that the sum-user delivered rate in the equilibrium of the induced game is (approximately) optimal, i.e., such that only higher quality users are incentivized to contend the channel. We use the price of anarchy (PoA) measure and study the extent to which appropriate reward mechanisms can yield good PoA bounds.
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1 citations in Scopus
Details
- Title
- Participation Incentives on a Wireless Random Access Erasure Collision Channel [Short talk]
- Creators
- Vasilis Gkatzelis - Drexel UniversitySteven Weber - Drexel UniversityIEEE
- Publication Details
- 2018 INFORMATION THEORY AND APPLICATIONS WORKSHOP (ITA), pp 1-6
- Conference
- 2018 INFORMATION THEORY AND APPLICATIONS WORKSHOP (ITA)
- Publisher
- IEEE
- Number of pages
- 6
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering; Computer Science
- Web of Science ID
- WOS:000713430100013
- Scopus ID
- 2-s2.0-85032464432
- Other Identifier
- 991019167442804721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Interdisciplinary Applications
- Computer Science, Theory & Methods
- Engineering, Electrical & Electronic
- Mathematics, Applied