Opportunistic Access of TV Spectrum Using Cognitive-Radio-Enabled Cellular Networks

Choi, Young‐June; Shin, Kang G.

doi:10.1109/tvt.2011.2164426

Cited by 25 publications

(8 citation statements)

References 32 publications

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“…• Cognitive Radio: Cognitive Radio (CR) allows unlicensed users to access spectrum opportunities in a band as long as they would not cause harmful interference to the licensed users of that band (e.g., [83]). The spectrum opportunities can be identified either through spectrum sensing or accessing a spectrum usage database.…”

Section: A Classification Of Spectrum Sharing Methodsmentioning

confidence: 99%

Spectrum sharing methods for the coexistence of multiple RF systems: A survey

et al. 2016

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Section: A Classification Of Spectrum Sharing Methodsmentioning

confidence: 99%

Spectrum sharing methods for the coexistence of multiple RF systems: A survey

et al. 2016

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“…These expressions are obtained by using the PMFs of the corresponding RVs given in (18) and (19), respectively [30].…”

Section: Saturation Throughput Analysismentioning

confidence: 99%

“…Different power and spectrum allocation algorithms were devised to maximize the secondary network throughput in [16][17][18]. Optimization of spectrum sensing and access in which either cellular or TV bands can be employed was performed in [19]. These existing works either assumed perfect spectrum sensing or did not consider the cooperative spectrum sensing in their design and analysis.…”

Section: Introductionmentioning

confidence: 99%

Joint cooperative spectrum sensing and MAC protocol design for multi-channel cognitive radio networks

Tan

2014

J Wireless Com Network

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In this paper, we propose a semi-distributed cooperative spectrum sensing (SDCSS) and channel access framework for multi-channel cognitive radio networks (CRNs). In particular, we consider a SDCSS scheme where secondary users (SUs) perform sensing and exchange sensing outcomes with each other to locate spectrum holes. In addition, we devise the p-persistent CSMA-based cognitive medium access control (MAC) protocol integrating the SDCSS to enable efficient spectrum sharing among SUs. We then perform throughput analysis and develop an algorithm to determine the spectrum sensing and access parameters to maximize the throughput for a given allocation of channel sensing sets. Moreover, we consider the spectrum sensing set optimization problem for SUs to maximize the overall system throughput. We present both exhaustive search and low-complexity greedy algorithms to determine the sensing sets for SUs and analyze their complexity. We also show how our design and analysis can be extended to consider reporting errors. Finally, extensive numerical results are presented to demonstrate the significant performance gain of our optimized design framework with respect to non-optimized designs as well as the impacts of different protocol parameters on the throughput performance.

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“…Different power and spectrum allocation algorithms were devised to maximize the secondary network throughput in [23], [24], [25]. Optimization of spectrum sensing and access in which either cellular or TV bands can be employed was performed in [26].…”

Section: Introductionmentioning

confidence: 99%

Channel Assignment With Access Contention Resolution for Cognitive Radio Networks

Tan

2012

IEEE Trans. Veh. Technol.

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In this paper, we consider the channel allocation problem for throughput maximization in cognitive radio networks with hardware-constrained secondary users. Specifically, we assume that secondary users (SUs) exploit spectrum holes on a set of channels where each SU can use at most one available channel for communication. We present the optimal brute-force search algorithm and its complexity for this non-linear integer optimization problem. Since the optimal solution has exponential complexity with the numbers of channels and SUs, we develop two low-complexity channel assignment algorithms that can efficiently utilize spectrum opportunities on these channels. In the first algorithm, SUs are assigned distinct sets of channels. We show that this algorithm achieves the maximum throughput limit if the number of channels is sufficiently large. In addition, we propose an overlapping channel assignment algorithm, that can improve the throughput performance compared to the nonoverlapping channel assignment counterpart. In addition, we design a distributed MAC protocol for access contention resolution and integrate it into the overlapping channel assignment algorithm. We also analyze the saturation throughput and the complexity of the proposed channel assignment algorithms. Moreover, we have presented several potential extensions including greedy channel assignment algorithms under max-min fairness criterion and throughput analysis considering sensing errors. Finally, numerical results are presented to validate the developed theoretical results and illustrate the performance gains due to the proposed channel assignment algorithms. Index TermsChannel assignment, MAC protocol, spectrum sensing, throughput maximization, cognitive radio. I. INTRODUCTIONEmerging broadband wireless applications have been demanding unprecedented increase in radio spectrum resources. As a result, we have been facing a serious spectrum shortage problem. However, several recent measurements reveal very low spectrum utilization in most useful frequency bands [1]. Cognitive radio technology is a promising technology that can fundamentally improve the spectrum utilization of licensed frequency bands through secondary spectrum access. However, transmissions from primary users (PUs) should be satisfactorily protected from secondary spectrum access due to their strictly higher access priority.Protection of primary communications can be achieved through interference avoidance or interference control approach (i.e., spectrum overlay or spectrum underlay) [1]. For the interference control approach, transmission powers of SUs should be carefully controlled so that the aggregated interference they create at primary receivers does not severely affect ongoing primary communications [2]. In most practical scenarios where direct coordination between PUs and SUs is not possible and/or if distributed communications strategies are desired, it would be very difficult to maintain these interference constraints. The interference avoidance approach instead prote...

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Opportunistic Access of TV Spectrum Using Cognitive-Radio-Enabled Cellular Networks

Cited by 25 publications

References 32 publications

Spectrum sharing methods for the coexistence of multiple RF systems: A survey

Spectrum sharing methods for the coexistence of multiple RF systems: A survey

Joint cooperative spectrum sensing and MAC protocol design for multi-channel cognitive radio networks

Channel Assignment With Access Contention Resolution for Cognitive Radio Networks

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