Abstract
In this paper, we study an inter-cell interference cancellation (ICIC) scheme for multicell multiple-input single-output downlink systems where each base station (BS) simultaneously supports multiple active users and only partial channel state information (CSI) is shared among BSs. Each BS jointly selects one of following beamforming strategies: an egoistic zero-forcing beamforming (ZFBF) which applies the ZFBF for only home users and an altruistic strategy which performs the ZFBF for both home users and neighboring users for ICIC. We first derive closed-form expressions for the average rate of an individual user in 2-cell and 3-cell networks when BSs choose one of the aforementioned beamforming strategies. With the derived closed-form expressions, we propose a multiuser adaptive ICIC scheme in order to maximize the average sum rate of the system based on user locations. Numerical results show that the proposed scheme outperforms conventional methods in terms of the average sum rate for both 2-cell and 3-cell networks.
| Original language | English |
|---|---|
| Title of host publication | IEEE International Conference on Communications |
| Pages | 5684-5688 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2013 Dec 1 |
| Event | 2013 IEEE International Conference on Communications, ICC 2013 - Budapest, Hungary Duration: 2013 Jun 9 → 2013 Jun 13 |
Other
| Other | 2013 IEEE International Conference on Communications, ICC 2013 |
|---|---|
| Country | Hungary |
| City | Budapest |
| Period | 13/6/9 → 13/6/13 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Networks and Communications
Cite this
Adaptive beamforming selection methods for inter-cell interference cancellation in multicell multiuser systems. / Lee, Changhee; Moon, Sung Hyun; Lee, Sang Rim; Lee, Inkyu.
IEEE International Conference on Communications. 2013. p. 5684-5688 6655500.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Adaptive beamforming selection methods for inter-cell interference cancellation in multicell multiuser systems
AU - Lee, Changhee
AU - Moon, Sung Hyun
AU - Lee, Sang Rim
AU - Lee, Inkyu
PY - 2013/12/1
Y1 - 2013/12/1
N2 - In this paper, we study an inter-cell interference cancellation (ICIC) scheme for multicell multiple-input single-output downlink systems where each base station (BS) simultaneously supports multiple active users and only partial channel state information (CSI) is shared among BSs. Each BS jointly selects one of following beamforming strategies: an egoistic zero-forcing beamforming (ZFBF) which applies the ZFBF for only home users and an altruistic strategy which performs the ZFBF for both home users and neighboring users for ICIC. We first derive closed-form expressions for the average rate of an individual user in 2-cell and 3-cell networks when BSs choose one of the aforementioned beamforming strategies. With the derived closed-form expressions, we propose a multiuser adaptive ICIC scheme in order to maximize the average sum rate of the system based on user locations. Numerical results show that the proposed scheme outperforms conventional methods in terms of the average sum rate for both 2-cell and 3-cell networks.
AB - In this paper, we study an inter-cell interference cancellation (ICIC) scheme for multicell multiple-input single-output downlink systems where each base station (BS) simultaneously supports multiple active users and only partial channel state information (CSI) is shared among BSs. Each BS jointly selects one of following beamforming strategies: an egoistic zero-forcing beamforming (ZFBF) which applies the ZFBF for only home users and an altruistic strategy which performs the ZFBF for both home users and neighboring users for ICIC. We first derive closed-form expressions for the average rate of an individual user in 2-cell and 3-cell networks when BSs choose one of the aforementioned beamforming strategies. With the derived closed-form expressions, we propose a multiuser adaptive ICIC scheme in order to maximize the average sum rate of the system based on user locations. Numerical results show that the proposed scheme outperforms conventional methods in terms of the average sum rate for both 2-cell and 3-cell networks.
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U2 - 10.1109/ICC.2013.6655500
DO - 10.1109/ICC.2013.6655500
M3 - Conference contribution
SN - 9781467331227
SP - 5684
EP - 5688
BT - IEEE International Conference on Communications
ER -