Transceiver Optimization for Unicast/Multicast MIMO Cognitive Overlay/Underlay Networks

被引：4
|
作者：
Gupta, Nikhil [1 ]
Jagannatham, Aditya K. [1 ]
机构：
[1] Indian Inst Technol, Dept Elect Engn, Kanpur 208016, Uttar Pradesh, India
来源：
IEEE SIGNAL PROCESSING LETTERS | 2015年 / 22卷 / 10期
关键词：
Cognitive radio; MIMO; transceiver optimization; POWER ALLOCATION; RADIO;
D O I：
10.1109/LSP.2015.2413940
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this work, we develop a majorization theory based linear precoding framework for optimal transceiver design in MIMO cognitive radio networks. Closed form expressions are derived for the optimal MIMO precoders using two new transceiver design paradigms, the zero-forcing transceiver (ZFT) and the interference optimized transceiver (IOT), for overlay and underlay MIMO cognitive radio networks respectively. Further, another novel contribution of this work is to derive the precoders for multicast MIMO cognitive radio scenarios based on novel multi-user mean-squared error (MSE) bounds. Simulation results demonstrate the performance of the proposed optimal MIMO transceivers.
引用
收藏
页码：1556 / 1560
页数：5
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