In this paper, we propose a novel pseudo-random beamforming (BF) technique in multi-cell downlink networks consisting of multiple base stations (BSs) and one BS coordinator. In the proposed technique, each BS first generates M BF matrices with a pseudo-random manner and each mobile station (MS) opportunistically feeds back the received signal-to-interference-and-noise (SINR) ratio for each random beam to its home-cell BS. Then, each BS selects MSs for each beam based on the feedback information, and it also feeds back the achievable sum-rate for M BF matrices to a BS coordinator via wired backhaul links. Finally, the BS coordinator determines the optimal BF matrix that maximizes the sum-rate over the network, and sends the index of the optimal BF matrix to BSs. Each BS sends data to MSs by using the optimal BF matrix among M BF matrices. Main results indicate that there exists a trade-off between the feedback overhead and the achievable sum-rate, but the sum-rate of the proposed technique with opportunistic feedback approaches to that with full feedback as the number of MSs in each cell increases.
|Title of host publication||International Conference on Information and Communication Technology Convergence|
|Subtitle of host publication||ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||3|
|Publication status||Published - 2017 Dec 12|
|Event||8th International Conference on Information and Communication Technology Convergence, ICTC 2017 - Jeju Island, Korea, Republic of|
Duration: 2017 Oct 18 → 2017 Oct 20
|Name||International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017|
|Other||8th International Conference on Information and Communication Technology Convergence, ICTC 2017|
|Country/Territory||Korea, Republic of|
|Period||17/10/18 → 17/10/20|
Bibliographical noteFunding Information:
ACKNOWLEDGEMENT This work has been supported by the Future Combat System Network Technology Research Center program of Defense Acquisition Program Administration and Agency for Defense Development (UD160070BD).
© 2017 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Computer Science Applications
- Information Systems
- Information Systems and Management