scholarly journals Interference-Aware Radio Resource Management for Cognitive High-Throughput Satellite Systems

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 197 ◽  
Author(s):  
Rui Zhang ◽  
Yuhan Ruan ◽  
Yongzhao Li ◽  
Can Liu
Keyword(s):  
Resource Management ◽  
High Throughput ◽  
Radio Resource Management ◽  
Satellite Communications ◽  
Substantial Improvement ◽  
System Throughput ◽  
Future Research ◽  
Radio Resource ◽  
Satellite Systems ◽  
Full Frequency Reuse

By providing interactive broadband services to geographical areas underserved by terrestrial infrastructure, multi-beam satellite systems play a central role in future wireless communications. Targeting the terabit throughput requirements in satellite communications, we introduce a cognitive radio-based high-throughput satellite (HTS) system architecture where full frequency reuse is employed among beams. Moreover, by analyzing the characteristics of the considered architecture, we discuss the design challenges of radio resource management in cognitive HTS systems exposed to both intra-system and inter-system co-channel interference. Furthermore, to combat interference with low overhead, we propose a generic interference-aware resource management framework based on joint spatial division and multiplexing (JSDM). Under this framework, user grouping along with two-stage precoding is studied to achieve substantial improvement in the overall system throughput. Finally, some future research directions and challenges are also given.

scholarly journals Radio Resource Management Techniques for Multibeam Satellite Systems

2020 ◽  
pp. 1-1
Author(s):  
Steven Kisseleff ◽  
Eva Lagunas ◽  
Tedros Salih Abdu ◽  
Symeon Chatzinotas ◽  
Bjorn Ottersten
Keyword(s):  
Resource Management ◽  
Radio Resource Management ◽  
Radio Resource ◽  
Satellite Systems ◽  
Management Techniques

Radio Resource Management in Cognitive Radio Sensor Networks

2014 ◽  
pp. 27-47 ◽  
Author(s):  
Ayaz Ahmad ◽  
Sadiq Ahmad
Keyword(s):  
Cognitive Radio ◽  
Resource Management ◽  
Sensor Networks ◽  
Radio Resource Management ◽  
Sensor Nodes ◽  
Future Research ◽  
Radio Resource ◽  
Comprehensive Overview ◽  
Ism Band ◽  
Cognitive Radio Sensor Network

Wireless Sensor Networks (WSNs) use the unlicensed Industrial, Scientific, and Medical (ISM) band for transmissions. However, with the increasing usage of these networks for diverse applications, the currently available ISM band does not suffice for their transmissions and a new challenge appears before the WSNs' research community. One of the candidate approaches to tackle this spectrum insufficiency problem is to incorporate the opportunistic spectrum access capability of Cognitive Radio (CR) into the existing WSN, thus giving birth to Cognitive Radio Sensor Network (CRSN). Efficient spectrum utilization is another approach to overcome this challenging problem. Another challenge associated to WSN operation is the dependability of sensor nodes on battery supplied power where the batteries in general are not replaceable. Therefore, advanced and intelligent radio resource management schemes are very essential to perform dynamic and efficient spectrum allocation among multiple sensor nodes and to optimize the power consumption of each individual node in the network. Radio resource management enables the sensor nodes to efficiently utilize the available spectrum and power, which in turn ensures QoS transmissions, maximizes the network lifetime, and reduces the inter-node and inter-network interferences. In this chapter, the authors present a comprehensive overview of the recent advances in radio resource management for CRSN. Radio resource management in CRSN has been reviewed in various scenarios (i.e., centralized, cluster-based, and distributed). The related issues and challenges are discussed, and future research directions are highlighted.

Radio Resource Management in Cognitive Radio Sensor Networks

2016 ◽  
pp. 2353-2374
Author(s):  
Ayaz Ahmad ◽  
Sadiq Ahmad
Keyword(s):  
Cognitive Radio ◽  
Resource Management ◽  
Sensor Networks ◽  
Radio Resource Management ◽  
Sensor Nodes ◽  
Future Research ◽  
Radio Resource ◽  
Comprehensive Overview ◽  
Ism Band ◽  
Cognitive Radio Sensor Network

Wireless Sensor Networks (WSNs) use the unlicensed Industrial, Scientific, and Medical (ISM) band for transmissions. However, with the increasing usage of these networks for diverse applications, the currently available ISM band does not suffice for their transmissions and a new challenge appears before the WSNs' research community. One of the candidate approaches to tackle this spectrum insufficiency problem is to incorporate the opportunistic spectrum access capability of Cognitive Radio (CR) into the existing WSN, thus giving birth to Cognitive Radio Sensor Network (CRSN). Efficient spectrum utilization is another approach to overcome this challenging problem. Another challenge associated to WSN operation is the dependability of sensor nodes on battery supplied power where the batteries in general are not replaceable. Therefore, advanced and intelligent radio resource management schemes are very essential to perform dynamic and efficient spectrum allocation among multiple sensor nodes and to optimize the power consumption of each individual node in the network. Radio resource management enables the sensor nodes to efficiently utilize the available spectrum and power, which in turn ensures QoS transmissions, maximizes the network lifetime, and reduces the inter-node and inter-network interferences. In this chapter, the authors present a comprehensive overview of the recent advances in radio resource management for CRSN. Radio resource management in CRSN has been reviewed in various scenarios (i.e., centralized, cluster-based, and distributed). The related issues and challenges are discussed, and future research directions are highlighted.

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