Energy-Efficient Delay-Constrained Transmission and Sensing for Cognitive Radio Systems
Energy-Efficient Delay-Constrained Transmission and Sensing for Cognitive Radio Systems
复制标题
认知无线电系统的节能延迟约束传输和传感
DOI：
10.1109/tvt.2012.2198506
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发表时间：
2012-05
影响因子：
6.8
通讯作者：
钱丽萍
中科院分区：
文献类型：
--
作者：
Yuan Wu;Vincent K. N. Lau;Danny H. K. Tsang;钱丽萍
在本文中，我们研究了认知无线电（CR）的节能传输，它通过频谱感知在主要用户的信道上机会性地运行。频谱感知和强制空闲（用于现有保护）为次要用户（SU）操作引入了能量开销，因此，需要在数据传输的能量消耗和能量开销之间进行适当的平衡。我们将此问题表述为离散时间马尔可夫决策过程，其中 SU 旨在最小化其平均成本（包括能量消耗和延迟成本），以通过适当的速率分配来完成目标流量有效负载。基于确定性等价控制，我们提出了一种低复杂度的速率适应策略，可以实现与最优策略相当的性能。通过低复杂度策略，我们量化了能量开销（包括频谱感知和强制空闲的功耗）对SU传输策略的影响。具体来说，SU 率随着能源管理费用的增加而增加，但其边际影响却减弱。此外，与延迟敏感业务相比，能量开销的边际影响对于延迟不敏感业务更为显着。为了减轻由于不完善的频谱感知造成的损失，我们量化了 SU 以较大的误检概率（误报概率）降低（增加）其速率。
In this paper, we study energy-efficient transmission for Cognitive Radio (CR) that opportunistically operates on the primary user's channel through spectrum sensing. Spectrum sensing and compulsory idling (for incumbent protection) introduce energy overheads for Secondary User (SU) operations, and thus, an appropriate balance between energy consumption in data transmission and energy overheads is required. We formulate this problem as a discrete-time Markov decision process in which the SU aims at minimizing its average cost (including both energy consumption and delay cost) to finish a target traffic payload through an appropriate rate allocation. Based on certainty equivalent control, we propose a low-complexity rate-adaptation policy that achieves comparable performance with the optimal policy. With the low-complexity policy, we quantify the impact of energy overheads (including the power consumption for spectrum sensing and compulsory idling) on the SU transmission strategy. Specifically, the SU rate increases with the increase of energy overheads, whose marginal impact, however, diminishes. Moreover, the marginal impact of energy overheads is more significant for delay-insensitive traffic compared with that for delay-sensitive traffic. To mitigate the loss due to imperfect spectrum sensing, we quantify that the SU decreases (increases) its rate with a larger misdetection probability (false alarm probability).
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影响因子：
10.4
作者：
A. Karmokar;D. Djonin;V. Bhargava
通讯作者：
A. Karmokar;D. Djonin;V. Bhargava
DOI：
10.1145/1287853.1287858
发表时间：
2007-09
期刊：
--
影响因子：
--
作者：
N. Chang;M. Liu
通讯作者：
N. Chang;M. Liu
DOI：
10.1109/icc.2010.5502682
发表时间：
2010-05
期刊：
2010 IEEE International Conference on Communications
影响因子：
--
作者：
Hang Su;Xi Zhang
通讯作者：
Hang Su;Xi Zhang
影响因子：
5.4
作者：
M. Ngo;V. Krishnamurthy
通讯作者：
M. Ngo;V. Krishnamurthy
DOI：
10.1016/0022-247x(85)90288-4
发表时间：
1985-01-01
影响因子：
1.3
作者：
BEUTLER, FJ;ROSS, KW
通讯作者：
ROSS, KW