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## Traffic-Aware Channel Sensing Order in Dynamic Spectrum Access Networks

Citations: | 3 - 1 self |

### Citations

7438 | Convex Optimization
- Boyd, Vandenberghe
- 2004
(Show Context)
Citation Context ...e objective function and its constraint are convex, we show that the optimization problem is a standard convex optimization problem which can be solved by numerous methods (e.g. interior point method =-=[19]-=-) using computer optimization tools (e.g. CVX [20]) efficiently. D. Discussion: Traffic Estimation and The Sensing Order Algorithm in Non-Stationary Traffic We assume stationary PU traffic in our syst... |

1535 | Cognitive radio: brain-empowered wireless communications
- Haykin
- 2005
(Show Context)
Citation Context ...y secondary (unlicensed) users (SUs) in both time and the frequency domains on a Dynamic Spectrum Access (DSA) basis. Thus, finding the unused PU channels becomes an important problem in DSA networks =-=[1]-=-. Vacant spectrum can be found by sensing licensed channels to determine whether PU is present or not. If the PU is present, the SU should switch, within a short time, to another PU channel and sense ... |

1063 |
CVX: Matlab software for disciplined convex programming, version 2.0 beta: http://cvxr.com/cvx
- Grant, S
- 2013
(Show Context)
Citation Context ..., we show that the optimization problem is a standard convex optimization problem which can be solved by numerous methods (e.g. interior point method [19]) using computer optimization tools (e.g. CVX =-=[20]-=-) efficiently. D. Discussion: Traffic Estimation and The Sensing Order Algorithm in Non-Stationary Traffic We assume stationary PU traffic in our system model, which means the traffic of all channels ... |

354 |
Decentralized Cognitive MAC for Opportunistic Spectrum Access in Ad Hoc Network: a POMDP Framework
- Zhao, Tong, et al.
- 2007
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Citation Context ...sign such algorithm, i.e., a sequential sensing order A for SUs to sense all PU channels, which maximizes the overall DSA network throughput on a slot basis. PU traffic is modeled as a Markov process =-=[14]-=-, [15], where s represents the current state of the PU. States s = 0 and s = 1 indicate the PU absence and presence, respectively. This traffic is characterized by the steady-state distribution and th... |

291 | Sensing-throughput tradeoff for cognitive radio networks
- Liang, Zeng, et al.
- 2006
(Show Context)
Citation Context ...one slot time [10], [11]. To enhance the detectability of the PU channels and to minimize the time spent on sensing, the SUs jointly sense one channel at a time via a cooperative sensing scheme [12], =-=[13]-=-. In turn, the sensing results are forwarded to a DSA base station which makes a collective decision on whether or not there is a PU present on a channel. To simplify analysis, this paper considers th... |

151 | Efficient Discovery of Spectrum Opportunities with MAC-Layer Sensing in Cognitive Radio Networks
- Kim, Shin
- 2008
(Show Context)
Citation Context ...echniques of estimating the PU traffic parameters were studied in, e.g., [3], [4] (and the references therein), in isolation from the channel sensing order problem. Considering channel sensing order, =-=[5]-=- was the first work to investigate this aspect (to the best of the authors’ knowledge) and introduced the concept of semi-Markov chain to model the availability of PUs (assuming perfect knowledge of t... |

106 | Cross-layer based opportunistic MAC protocols for QoS provisionings over cognitive radio wireless networks,”
- Su, Zhang
- 2008
(Show Context)
Citation Context ...uch algorithm, i.e., a sequential sensing order A for SUs to sense all PU channels, which maximizes the overall DSA network throughput on a slot basis. PU traffic is modeled as a Markov process [14], =-=[15]-=-, where s represents the current state of the PU. States s = 0 and s = 1 indicate the PU absence and presence, respectively. This traffic is characterized by the steady-state distribution and the tran... |

93 | Cooperative communications for cognitive radio networks,”
- Letaief, Zhang
- 2009
(Show Context)
Citation Context ...uring one slot time [10], [11]. To enhance the detectability of the PU channels and to minimize the time spent on sensing, the SUs jointly sense one channel at a time via a cooperative sensing scheme =-=[12]-=-, [13]. In turn, the sensing results are forwarded to a DSA base station which makes a collective decision on whether or not there is a PU present on a channel. To simplify analysis, this paper consid... |

87 |
Optimization for Cooperative Sensing in Cognitive Radio Networks
- Peh, Liang
- 2007
(Show Context)
Citation Context ...mit in their respective queues. We define the effective rate for data transmission for all channels in one slot given the next state information after sensing as the system throughput R(A) [7], [16], =-=[17]-=- R(A) = M∑ i=1 ( T −∑ij=1 T (aj)I T ) CaiI(ŝai), (1) whereas I(x) is the indicator function defined as I(x) = 1 for x = 0, and I(x) = 0, otherwise. The expected throughput E{R(A)} is defined as the a... |

81 | Opportunistic spectrum access via periodic channel sensing
- Zhao, Geirhofer, et al.
- 2008
(Show Context)
Citation Context ... channel physical layer parameters. The problem of PU traffic parameter estimations was not considered in this work. 2 IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. X, NO. X, X 201X Finally, =-=[9]-=- considered finding an optimal channel sensing order (through a constrained Markov decision process) taking collision probability between PU and DSA network into consideration. As in all above referre... |

53 | Optimal selection of channel sensing order in cognitive radio
- Jiang, Lai, et al.
- 2009
(Show Context)
Citation Context ...ri knowledge of PU traffic. This work considered maximization of the throughput for one SU to transmit in one channel while neglecting the transmission opportunities in other channels. The authors of =-=[8]-=- investigated the optimal sensing order with opportunistic transmissions by considering both adaptive and non-adaptive modulations for SUs to exploit changes in PU channel physical layer parameters. T... |

19 | Simple channel sensing order in cognitive radio networks - Cheng, Zhuang - 2011 |

10 | Matrix Analysis for Scientists and Engineers, Society for Industrial and Applied Mathematics, - Laub - 2004 |

9 | Performance analysis of multichannel medium access control algorithms for opportunistic spectrum access
- Pawelczak, Pollin, et al.
- 2009
(Show Context)
Citation Context ...nnel at a time [5]–[7]. The transmission structure for each PU is assumed to follow a synchronous, slotted frame within slot time T , implying the activity for the PU is constant during one slot time =-=[10]-=-, [11]. To enhance the detectability of the PU channels and to minimize the time spent on sensing, the SUs jointly sense one channel at a time via a cooperative sensing scheme [12], [13]. In turn, the... |

9 | Opportunistic spectrum access in multiple-primary-user environments under the packet collision constraint,”
- Jung, Liu
- 1998
(Show Context)
Citation Context ...t a time [5]–[7]. The transmission structure for each PU is assumed to follow a synchronous, slotted frame within slot time T , implying the activity for the PU is constant during one slot time [10], =-=[11]-=-. To enhance the detectability of the PU channels and to minimize the time spent on sensing, the SUs jointly sense one channel at a time via a cooperative sensing scheme [12], [13]. In turn, the sensi... |

7 | Primary user traffic estimation for dynamic spectrum access
- Gabran, Liu, et al.
(Show Context)
Citation Context ...ssions accordingly when a channel is sensed to be vacant. In order to acquire the PU traffic statistics of each channel (which vary over time, making exact a priori knowledge of PU traffic impossible =-=[3]-=-), a highly accurate PU traffic estimation algorithm is needed. A. Related Work Techniques of estimating the PU traffic parameters were studied in, e.g., [3], [4] (and the references therein), in isol... |

6 |
Maximum Likelihood Estimation and Inference
- Millar
- 2011
(Show Context)
Citation Context ...P̂00, which results in more accurate estimation. In addition, the RMS error achieves the CR bound as long as the number of samples is large enough, which verifies the ML estimation property stated in =-=[18]-=-. Fig. 4(b) plots the RMS error with respect to u. Note that CR bound remains a lower bound for the PU estimators. But for the estimator P̂00, the RMS error 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5 0 2... |

4 |
Understand the Predictability of Wireless Spectrum : A Large-scale Empirical Study,”
- Song, Chen, et al.
- 2010
(Show Context)
Citation Context ...ri knowledge of PU traffic impossible [3]), a highly accurate PU traffic estimation algorithm is needed. A. Related Work Techniques of estimating the PU traffic parameters were studied in, e.g., [3], =-=[4]-=- (and the references therein), in isolation from the channel sensing order problem. Considering channel sensing order, [5] was the first work to investigate this aspect (to the best of the authors’ kn... |

3 |
Effective scheduling in infrastructure-based cognitive radio network
- Nguyen, Lee
- 2011
(Show Context)
Citation Context ...esigned PU channel selection protocol and channel sensing order scheme, i.e. the process of ordering PU channels to sense to optimize a predefined objective (throughput, delay, etc.) of a DSA network =-=[2]-=-. For instance, in a centralized DSA network, PU channel selection and sensing order scheduling can be done by the base station (or a coordinator). The DSA base station would then decide on the best s... |

2 |
discovery of spectrum opportunities in cognitive radio networks
- “Fast
(Show Context)
Citation Context ...elements Ci and T (i) I , respectively, for the i-th channel ∀i ∈M. T (i)I is chosen to be less than or equal to 50 ms and Ci is less than or equal to 10 bits/s, which are reasonable values following =-=[6]-=-. Each simulation result is calculated by averaging over 104 realizations. Under perfect sensing for the current PU states, Fig. 2(a) demonstrates that as the PU slot time T increases, the DSA through... |

1 |
Throughput analysis and optimization of sensing-based cognitive radio systems with markovian traffic
- Noh, Lee, et al.
- 2010
(Show Context)
Citation Context ... transmit in their respective queues. We define the effective rate for data transmission for all channels in one slot given the next state information after sensing as the system throughput R(A) [7], =-=[16]-=-, [17] R(A) = M∑ i=1 ( T −∑ij=1 T (aj)I T ) CaiI(ŝai), (1) whereas I(x) is the indicator function defined as I(x) = 1 for x = 0, and I(x) = 0, otherwise. The expected throughput E{R(A)} is defined as... |