A Novel Dynamic Spectrum-Sharing Method for Integrated Wireless Multimedia Sensors and Cognitive Satellite Networks

Wang, Chuang; Bian, Dongming; Zhang, Gengxin; Cheng, Jianwei; Li, Yongqiang

doi:10.3390/s18113904

Cited by 11 publications

(8 citation statements)

References 42 publications

(49 reference statements)

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“…• WSNs [76]- [81] • IoT [82] • Cellular communications [42], [83]- [90] • WiMax [91] • Aeronautical communications [92] • Ad Hoc networks [93] • Satellite communications [94] • Space communications [95] • UAV [96] • Vehicular Ad Hoc networks [97]- [100]10…”

Section: Multimedia Services and Crnsmentioning

confidence: 99%

Multimedia Communication over Cognitive Radio Networks from QoS/QoE Perspective; A Comprehensive Survey

Piran¹

2020

Preprint

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The stringent requirements of wireless multimedia transmission lead to very high radio spectrum solicitation. Although the radio spectrum is considered as a scarce resource, the issue with spectrum availability is not scarcity, but the inefficient utilization. Unique characteristics of cognitive radio (CR) such as flexibility, adaptability, and interoperability, particularly have contributed to it being the optimum technological candidate to alleviate the issue of spectrum scarcity for multimedia communications. However, multimedia communications over CR networks (MCRNs) as a bandwidth-hungry, delay-sensitive, and loss-tolerant service, exposes several severe challenges specially to guarantee quality of service (QoS) and quality of experience (QoE). As a result, to date, different schemes based on source and channel coding, multicast, and distributed streaming, have been examined to improve the QoS/QoE in MCRNs. In this paper, we survey QoS/QoE provisioning schemes in MCRNs. We first discuss the basic concepts of multimedia communication, CRNs, QoS and QoE. Then, we present the advantages of utilizing CR for multimedia services and outline the stringent QoS and QoE requirements in MCRNs. Next, we classify the critical challenges for QoS/QoE provisioning in MCRNs including spectrum sensing, resource allocation management, network fluctuations management, latency management, and energy consumption management. Then, we survey the corresponding feasible solutions for each challenge highlighting performance issues, strengths, and weaknesses. Furthermore, we discuss several important open research problems and provide some avenues for future research.

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Section: Multimedia Services and Crnsmentioning

confidence: 99%

Multimedia Communication over Cognitive Radio Networks from QoS/QoE Perspective; A Comprehensive Survey

Piran¹

2020

Preprint

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“…In general, the technologies used in cognitive satellite communications mainly include spectrum sensing [7], beam hopping [8], shielding [9], beacon signaling [10] and beam forming [11], and so on. According to the application scenario, cognitive satellite communication mainly includes four categories: satellite communication users are secondary users [12], [13], terrestrial communication users are secondary users [14], [15], the satellite networks are used to extend the terrestrial networks [16]- [18], and spectrum sharing between satellites [19], [20]. In the first two categories, the secondary users may be satellite users or terrestrial users, while the primary users correspond to terrestrial users and satellite users, respectively.…”

Section: Unlike Cognitive Communication In Terrestrialmentioning

confidence: 99%

“…Supervisor with the College of Communications Engineering, Army Engineering University of PLA. He has authored and coauthored more than 40 conference and journal articles and has been granted over 20…”

mentioning

confidence: 99%

Spectrum Access and Power Control for Cognitive Satellite Communications: A Game-Theoretical Learning Approach

et al. 2019

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With the increasing scarcity of spectrum resources in satellite and terrestrial communications, spectrum sharing becomes a promising option. In this paper, we investigate the spectrum access and power control problem in multibeam-based cognitive satellite communication network. Differ from the most existing spectrum access problems in terrestrial networks, we consider not only the interference between cognitive users, but also the co-channel interference from multi-beam satellite communication system to cognitive users. We formulate a spectrum access and power control game, and it is proved to be an ordinal potential game. The sufficient conditions for cognitive users not to interfere with each other are given, and the upper bound of the aggregation interference experienced by all cognitive users is deduced theoretically. Then, based on the trial and error (TE) algorithm, we propose a learning-based distributed spectrum access algorithm, which statistically converges to the best Nash equilibrium(NE). Furthermore, to simplify the coefficients design and improve the convergence performance, we propose an improved learning-based distributed spectrum access algorithm. Simulation results show that the average network throughput of the proposed game is close to the best, which validates the game-theoretic solution. Simulation results also show that the improved learning-based distributed spectrum access algorithm is superior to the original algorithm in terms of convergence speed, throughput performance, and practicability, which confirms the effectiveness of the improved algorithm. INDEX TERMS Cognitive satellite communication, power control and spectrum access, ordinary potential game, trial and error learning algorithm.

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“…The GE decoding algorithm is a kind of maximum likelihood (ML) decoding algorithm, which is more suitable for the short block length, i.e., the number of source symbols k is small. When the decoder receives n encoded symbols and the corresponding generator matrix G n×k , the decoding process is equivalent to solving a consistent system of n linear equations with k unknowns, as shown in (3). If the generator matrix G n×k is invertible, the decoder can successfully recover the k source symbols from the n received symbols.…”

Section: B Ge Decoding Algorithmmentioning

confidence: 99%

“…Wireless sensor networks (WSNs) have attracted considerable attention from both industry and academia because of their diverse applications, such as health monitoring, vehicle tracking, military surveillance, and environment sensing [1], [2]. In the WSNs, the sensor nodes collect various information and then transmit the sensed data to the base station (BS) through wireless communications, e.g., satellite communications, cellular communications [3], [4].…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis and Design of LT Codes Under the Gaussian Elimination Algorithm in Wireless Sensor Networks

Wang

Suo²,

Bian

et al. 2019

IEEE Access

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With the growing demand, wireless sensor networks (WSNs) play an increasingly important role in many fields. The focus has been on deploying Luby transform (LT) codes in WSNs because of their inherent advantages in erasure channels. Since most data transmitted by WSNs are small, the Gaussian elimination (GE) decoding algorithm is highly attractive. In this paper, we investigate the performance analysis and code design methods for LT codes under the GE algorithm. First, the analytical expressions of the data erasure probability are detailed for two simple kinds of LT codes. Then, a characteristic indicator of the data erasure probability is introduced to evaluate the performance of general LT codes. Finally, we propose novel design methods by optimizing degree distributions from three goals based on the characteristic indicator. The numerical results validate the proposed performance analysis and code design methods in comparison with the conventional method. INDEX TERMS Wireless sensor networks, Luby transform codes, Gaussian elimination algorithm, performance analysis, code design.

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A Novel Dynamic Spectrum-Sharing Method for Integrated Wireless Multimedia Sensors and Cognitive Satellite Networks

Cited by 11 publications

References 42 publications

Multimedia Communication over Cognitive Radio Networks from QoS/QoE Perspective; A Comprehensive Survey

Multimedia Communication over Cognitive Radio Networks from QoS/QoE Perspective; A Comprehensive Survey

Spectrum Access and Power Control for Cognitive Satellite Communications: A Game-Theoretical Learning Approach

Performance Analysis and Design of LT Codes Under the Gaussian Elimination Algorithm in Wireless Sensor Networks

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