Optimal power allocation for fading channels in cognitive radio networks: Ergodic capacity and outage capacity

By Xin Kang, Ying-Chang Liang, Arumgam Nallanathan, Hari Krishna Garg, Rui Zhang. IEEE Transactions on Wireless Communications, 2008

637 citations recorded by the source corpus.

A cognitive radio network (CRN) is formed by either allowing the secondary users (SUs) in a secondary communication network (SCN) to opportunistically operate in the frequency bands originally allocated to a primary communication network (PCN) or by allowing SCN to coexist with the primary users (PUs) in PCN as long as the interference caused by SCN to each PU is properly regulated. In this paper, we consider the latter case, known as spectrum sharing, and study the optimal power allocation strategies to achieve the ergodic capacity and the outage capacity of the SU fading channel under different types of power constraints and fading channel models. In particular, besides the interference power constraint at PU, the transmit power constraint of SU is also considered. Since the transmit power and the interference power can be limited either by a peak or an average constraint, various combinations of power constraints are studied. It is shown that there is a capacity gain for SU under the average over the peak transmit/interference power constraint. It is also shown that fading for the channel between SU transmitter and PU receiver is usually a beneficial factor for enhancing the SU channel capacities.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/9f9fb4565fa16ae0dcd53f46124015dd62963b8d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Rui Zhang
2. Geoffrey Y. Li
3. Ying-Chang Liang
4. Kwang-Cheng Chen
5. Xin Kang
6. Lu Lu
7. Uzoma Onunkwo
8. Xiangwei Zhou

In Electrical and Electronic Engineering

1. Rui Zhang
2. Ying-Chang Liang
3. Geoffrey Y. Li
4. Qingqing Wu
5. Kwang-Cheng Chen
6. Xin Kang
7. Lu Lu
8. Uzoma Onunkwo

Citations in the corpus

• Price-Based Resource Allocation for Spectrum-Sharing Femtocell Networks: A Stackelberg Game Approach (2012, methodology): “On the other hand, spectrum sharing with interference control is not unique to femtocell networks, since it is also an important design approach for cognitive radio networks (CRNs).”
• Sensing-Based Spectrum Sharing in Cognitive Radio Networks (2008, methodology): “Therefore, by writing their Lagrangian functions and applying the KKT conditions, the optimal solution is obtained as [11]”
• Ten years of research in spectrum sensing and sharing in cognitive radio (2012, methodology): “The analysis has been extended to the case with TPCs in [78].”
• Cognitive radio networking and communications: an overview (2011, background): “In [66], both the peak and the average interference power constraints are considered, whereas in [67], both the average and the peak power constraints on the”
• Capacity Limits and Performance Analysis of Cognitive Radio With Imperfect Channel Knowledge (2010, background): “In practice, such a limitation arises due to the power amplifier nonlinearity [11], resulting in an upper transmit power limit.”