TY - JOUR
T1 - Multimedia communication over cognitive radio networks from QoS/QoE perspective
T2 - A comprehensive survey
AU - Jalil Piran, Md
AU - Pham, Quoc Viet
AU - Islam, S. M.Riazul
AU - Cho, Sukhee
AU - Bae, Byungjun
AU - Suh, Doug Young
AU - Han, Zhu
N1 - Funding Information:
This work was supported by the Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIP) ( 2018-0-01364 , Terrestrial UHD based disaster broadcasting service for reducing disaster damage), and Korea Electric Power Corporation , (Grant number: R18XA02 ).
Publisher Copyright:
© 2020 The Authors
PY - 2020/12/15
Y1 - 2020/12/15
N2 - 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.
AB - 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.
KW - Cognitive radio networks
KW - Delay
KW - Energy efficiency
KW - Game theory
KW - Machine learning
KW - Multimedia communication
KW - Network fluctuation management
KW - Quality of experience (QoE)
KW - Quality of service (QoS)
KW - Resource allocation management
KW - Spectrum sensing
UR - http://www.scopus.com/inward/record.url?scp=85092199133&partnerID=8YFLogxK
U2 - 10.1016/j.jnca.2020.102759
DO - 10.1016/j.jnca.2020.102759
M3 - Review article
AN - SCOPUS:85092199133
VL - 172
JO - Journal of Network and Computer Applications
JF - Journal of Network and Computer Applications
SN - 1084-8045
M1 - 102759
ER -