A Novel Spectrum Sharing Technique Based on Channel Occupancy Rate Information

Proceedings of the 6th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Suzuki

Lehtomäki

2011

Self Cite

Time domain spectrum sharing between primary user (PU) and cognitive radio (CR) networks is considered. The Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) protocol is suitable for this type of spectrum sharing with unslotted access in which PUs and secondary users (SUs) are asynchronous. The goal is to maximize the average throughput of the SUs while guaranteeing the average throughput of the PUs. To achieve this, in our proposal the CR network adaptively changes its minimum contention window size (CWmin), depending on the channel occupancy rate (COR) from the PU network. The COR is approximately proportional to the average throughput and is estimated based on the observed traffic. In this paper, we analytically derive the optimum CWmin to maximize the COR of the CR network, while guaranteeing the COR of the PU network. In addition, to further protect saturated (high load) PUs, we also propose using a margin in the CWmin selection process. The simulation results show that the proposed approach does maximize the COR of the CR network and that it does converge faster in dynamic situations than the previous proposals. Also, the simulation results show the effectiveness of the proposed approach with margin.

“…Spectrum sharing techniques utilizing the white spaces in spatial domain [2], [3] or time domain [4]- [10] have been studied. This paper focuses on time domain spectrum sharing.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Dynamic selection of CWmin in cognitive radio networks for protecting IEEE 802.11 primary users

Proceedings of the 6th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Suzuki

Lehtomäki

2011

Self Cite

“…For example, spectrum utilization rates, which can be represented by the DC and the transition rate in the Markov chain, are utilized in spectrum sensing, and it has been shown that this information can enhance the spectrum sensing performance [30], [31]. As mentioned in [19], [30], [31], some prior information is useful for efficient spectrum sharing, such as both the spectrum sensing and channel access [32], [33]. However, it is still not clear what type of prior information or statistical information is very useful for managing the smart spectrum and this issue has not been investigated in-depth.…”

Section: Spectrum Measurement For Smart Spectrum and Issuesmentioning

confidence: 99%

“…Therefore, it is necessary to know how to utilize the information and which information facilitates efficient spectrum sharing. In the case of channel access in the context of spectrum sharing between a PU and an SU, information that indicates the probability of a busy state in the channel, such as the DC, may enhance the spectrum usage [32]. Specifically, an SU may access a channel in which the probability of a busy state, denoted by Pr(H 1 ), where H 1 indicates a busy channel state, is the lowest.…”

Section: Modeling For Smart Spectrum and Issuesmentioning

confidence: 99%

Smart Spectrum for Future Wireless World

Fujii

2017

IEICE Trans. Commun.

Self Cite

SUMMARY As the role of wireless communication is becoming more important for realizing a future connected society for not only humans but also things, spectrum scarcity is becoming severe, because of the huge numbers of mobile terminals and many types of applications in use. In order to realize sustainable wireless connection under limited spectrum resources in a future wireless world, a new dynamic spectrum management scheme should be developed that considers the surrounding radio environment and user preferences. In this paper, we discuss a new spectrum utilization framework for a future wireless world called the "smart spectrum." There are four main issues related to realizing the smart spectrum. First, in order to recognize the spectrum environment accurately, spectrum measurement is an important technology. Second, spectrum modeling for estimating the spectrum usage and the spectrum environment by using measurement results is required for designing wireless parameters for dynamic spectrum use in a shared spectrum environment. Third, in order to effectively gather the measurement results and provide the spectrum information to users, a measurement-based spectrum database can be used. Finally, smart spectrum management that operates in combination with a spectrum database is required for realizing efficient and organized dynamic spectrum utilization. In this paper, we discuss the concept of the smart spectrum, fundamental research studies of the smart spectrum, and the direction of development of the smart spectrum for targeting the future wireless world. key words: smart spectrum, spectrum measurement, spectrum usage modeling, spectrum database, spectrum management

Design of Spectrum Usage Detection in Wideband Spectrum Measurements

Yoshitaka²,

López-Benítez

et al. 2019

IEEE Access

Self Cite

We investigate the design of signal processing in wideband spectrum usage (SPU) measurements for efficient and smart dynamic spectrum access (DSA). In particular, we focus on spectrum usage detection (SPUD) in the experimental measurements. The detection results can be exploited to estimate statistics of the SPU. An appropriate design of the SPUD depends on the actual SPU in the target frequency band. There is a broad range of wireless systems in a considered broad measurement frequency band, such as from 60MHz to 6GHz, therefore a general design framework in the measurement frequency band is desired. In the proposed design framework, we at first define two models in terms of the SPU and the SPUD process. In addition, the proposed design procedure determines the adequate choice of parameters for the SPUD model based on given parameters of the SPU model in the target frequency band. Numerical evaluation based on computer simulations shows the validity of the design framework and design procedure. Moreover, a modified duty cycle (DC) estimation method is proposed, which can remove bias errors caused by low time resolution in the SPUD. Numerical evaluation based on experimental measurements demonstrates the practicality of the detection framework and procedure proposed in this work.