Abstract
In this paper, we analyze the performance of dynamic zero-forcing beamforming with limited feedback and propose adaptive feedback partition strategies. Assuming a cellular network model based on stochastic geometry, we derive analytical expressions for the complementary cumulative distribution function (CCDF) of the instantaneous signal-to-interference ratio (SIR) and the ergodic spectral efficiency as functions of the relevant system parameters: the cluster size, the number of feedback bits, the intra-cluster geometry, and the path-loss exponent. By leveraging these expressions, we propose two feedback partition strategies, each of which is applied for known intra-cluster geometry and unknown intra-cluster geometry, respectively. In the simulations, we verify the accurateness of our analysis and demonstrate the proposed strategies by comparing to the equal feedback partition. Our results show that by adaptively partitioning the feedback bits, the intra-cluster interference is efficiently managed whether the intra-cluster geometry is known or not.
Original language | English |
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Title of host publication | 2016 IEEE Globecom Workshops, GC Wkshps 2016 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781509024827 |
DOIs | |
Publication status | Published - 2016 |
Event | 2016 IEEE Globecom Workshops, GC Wkshps 2016 - Washington, United States Duration: 2016 Dec 4 → 2016 Dec 8 |
Publication series
Name | 2016 IEEE Globecom Workshops, GC Wkshps 2016 - Proceedings |
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Other
Other | 2016 IEEE Globecom Workshops, GC Wkshps 2016 |
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Country/Territory | United States |
City | Washington |
Period | 16/12/4 → 16/12/8 |
Bibliographical note
Funding Information:This material is based upon work supported in part by the National Science Foundation under Grant No. NSF-CCF-1319556
Publisher Copyright:
© 2016 IEEE.
All Science Journal Classification (ASJC) codes
- Communication
- Computer Networks and Communications
- Electrical and Electronic Engineering