標題: Joint Interference Cancellation and Resource Allocation for Full-Duplex Cloud Radio Access Networks
作者: Fang, Chun-Hao
Li, Pei-Rong
Feng, Kai-Ten
電機工程學系
Department of Electrical and Computer Engineering
關鍵字: Full-duplex;cloud radio access networks;interference cancellation;resource allocation;antenna correlation
公開日期: 1-Jun-2019
摘要: In this paper, we study joint interference cancellation and resource allocation for full-duplex (FD) cloud radio access networks (C-RANs) with antenna correlation. The target is to maximize the capacity of downlink (DL) user equipments (UEs) with guaranteed quality of service (QoS) of uplink (UL) UEs under the constraints of DL and UL transmit power. Intractability of the considered problem involves non-convexity and coupling between postcoding and remote radio head (RRH) selection. To deal with the high coupling between system variables, an estimation-free self-interference (SI) cancellation (EFSC) scheme with merit of significantly reducing signaling overhead for channel estimation is proposed. The reduced signaling overhead is also derived in closed-form expression. Furthermore, we propose a generalized Bender's decomposition-based resource allocation (GRA) algorithm, which separates the continuous and discrete variables to solve the optimization problem. With the design of a flexible utility function, the tradeoff between DL capacity and co-channel interference (CCI) can be achieved. Moreover, we identify the scenario in which antenna correlation will be beneficial for both the UL and DL communications in FD C-RAN with the implementation of EFSC scheme. The effectiveness of the proposed methods and theorems are verified via simulation results.
URI: http://dx.doi.org/10.1109/TWC.2019.2908173
http://hdl.handle.net/11536/152310
ISSN: 1536-1276
DOI: 10.1109/TWC.2019.2908173
期刊: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
Volume: 18
Issue: 6
起始頁: 3019
結束頁: 3033
Appears in Collections:Articles