Utility-related-capacity of interference networks: A cooperative game view
Author:
- 1 August 2013
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 55-59
Abstract
A bargaining power β-dependent utility-related-capacity (uc) concept is defined to characterize dynamic behaviors and strategic interactions of multiple users in interference networks, where a metric called degree of bargaining (DoB) is presented to measure the efficiency of presented uc. General uc-region of interference networks is formulated and analyzed by an Nash bargaining cooperative approach. Both the inner and outer bounds of the DoB are presented for the individually rational player/user with bargaining power β = 1. Furthermore, we conclude that the summation of DoB of all players approaches one in the interference networks. Finally, we give the general closed-form of optimal solution with Nash bargaining solution (NBS) and Kalai-Smorodinsky bargaining (KSBS) as the special cases. Meanwhile, we give the mild condition of guaranteeing KSBS more efficient than NBS.Keywords
This publication has 14 references indexed in Scilit:
- Applying Bargaining Solutions to Resource Allocation in Multiuser MIMO-OFDMA Broadcast SystemsIEEE Journal of Selected Topics in Signal Processing, 2012
- Shannon Meets Nash on the Interference ChannelIEEE Transactions on Information Theory, 2011
- Game theory and the flat-fading gaussian interference channelIEEE Signal Processing Magazine, 2009
- Game theory and the frequency selective interference channelIEEE Signal Processing Magazine, 2009
- A New Outer Bound and the Noisy-Interference Sum–Rate Capacity for Gaussian Interference ChannelsIEEE Transactions on Information Theory, 2009
- Rethinking information theory for mobile ad hoc networksIEEE Communications Magazine, 2008
- Gaussian Interference Channel Capacity to Within One BitIEEE Transactions on Information Theory, 2008
- Interference Alignment and Degrees of Freedom of the $K$-User Interference ChannelIEEE Transactions on Information Theory, 2008
- The capacity of the Gaussian interference channel under strong interference (Corresp.)IEEE Transactions on Information Theory, 1981
- A new achievable rate region for the interference channelIEEE Transactions on Information Theory, 1981