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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yong Zeng Gunawan, E. Yong Liang Guan |
| Copyright Year | 2011 |
| Description | Author affiliation: School of Electrical and Electronic Engineering Nanyang Technological University, Singapore (Yong Zeng; Gunawan, E.; Yong Liang Guan) |
| Abstract | Network multiple input multiple output (MIMO), in which each user is served by all the transmitters within its range of influence, is a promising technology for higher spectral efficiency. However, such performance gain comes at the expense of significant signaling overhead due to the sharing of channel state information (CSI) and transmission data. This paper proposes a truly distributed power allocation scheme for network MIMO, where “truly” means no CSI related information exchange in any form is required among transmitters. Such property is quite desirable for network MIMO but does not hold for most of the existing schemes in the literature. With the proposed scheme, each transmitter determines the power allocation with local CSI only. The cooperation is achieved by utilizing a Bayesian game-theoretic model, where the cooperating transmitters are modeled as players which share a common payoff function. A symmetric Bayesian Nash equilibrium is selected as the operating point, which can be determined individually by each transmitter performing an identical optimization problem separately. Simulation result shows that the distributed algorithm gives almost the same average sum rate with the centralized solution which requires global CSI. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 212829 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781457700293 |
| e-ISBN | 9781457700316 |
| DOI | 10.1109/ICICS.2011.6173627 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-12-13 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Resource management Transmitters MIMO Games Bayesian methods Manganese Interference power allocation Network MIMO distributed algorithm Bayesian game theory |
| Content Type | Text |
| Resource Type | Article |
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