dynamic spectrum sharing
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2022 ◽  
Vol 25 (3) ◽  
pp. 23-27
Junfeng Junfeng Guan ◽  
Jitian Zhang ◽  
Ruochen Lu ◽  
Hyungjoo Seo ◽  
Jin Zhou ◽  

The ever-increasing demand for wireless applications has resulted in an unprecedented radio frequency (RF) spectrum shortage. Ironically, at the same time, actual utilization of the spectrum is sparse in practice [1]. To exploit previously underutilized frequency bands to accommodate new unlicensed applications and achieve highly efficient usage of the spectrum, the Federal Communications Committee (FCC) has repurposed many frequency bands for dynamic spectrum sharing. This includes the 6 GHz band to be shared between Wi-Fi 6 and the incumbent users [2] as well as the 3.5 GHz Citizens Broadband Radio Service (CBRS) band [3].

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 8052
Irfan Jabandžić ◽  
Fadhil Firyaguna ◽  
Spilios Giannoulis ◽  
Adnan Shahid ◽  
Atri Mukhopadhyay ◽  

With a constant increase in the number of deployed satellites, it is expected that the current fixed spectrum allocation in satellite communications (SATCOM) will migrate towards more dynamic and flexible spectrum sharing rules. This migration is accelerated due to the introduction of new terrestrial services in bands used by satellite services. Therefore, it is important to design dynamic spectrum sharing (DSS) solutions that can maximize spectrum utilization and support coexistence between a high number of satellite and terrestrial networks operating in the same spectrum bands. Several DSS solutions for SATCOM exist, however, they are mainly centralized solutions and might lead to scalability issues with increasing satellite density. This paper describes two distributed DSS techniques for efficient spectrum sharing across multiple satellite systems (geostationary and non-geostationary satellites with earth stations in motion) and terrestrial networks, with a focus on increasing spectrum utilization and minimizing the impact of interference between satellite and terrestrial segments. Two relevant SATCOM use cases have been selected for dynamic spectrum sharing: the opportunistic sharing of satellite and terrestrial systems in (i) downlink Ka-band and (ii) uplink Ka-band. For the two selected use cases, the performance of proposed DSS techniques has been analyzed and compared to static spectrum allocation. Notable performance gains have been obtained.

2021 ◽  
Vol 18 (12) ◽  
pp. iii-vi
Yingchang Liang ◽  
Yue Gao ◽  
Liang Xiao ◽  
Yulong Zou ◽  
Guoru Ding

IEEE Network ◽  
2021 ◽  
Vol 35 (5) ◽  
pp. 143-149
Zhenqiang Sun ◽  
Wei Liang ◽  
Fei Qi ◽  
Zhongping Dong ◽  
Yunbin Cai

Zuhair Shakor Mahmood ◽  
Ali Nasret Najdet Coran ◽  
Ayoub esam Kamal ◽  
Abbas B. Noori

2021 ◽  
Vol 11 (15) ◽  
pp. 7056
Jakub Moskal ◽  
Jae-Kark Choi ◽  
Mieczyslaw M. Kokar ◽  
Soobin Um ◽  
Jeung Won Choi

This paper describes some of the challenges that need to be addressed in order to develop collaborative spectrum-sharing systems. The importance of these challenges stems from the assumption that rules for spectrum sharing can change after the deployment of radio networks and that the whole system must be able to adapt to them. To address such a requirement, we used a policy-based approach in which transmissions are controlled by a policy interpreter system, and the policies can be modified during system operation. Our primary goal was to develop a prototype of such a system. In this paper, we outline the implementation of policy interpretation, automatic generation of transmission opportunities in case a request for transmission is denied by the policy reasoner, and the generation of rendezvous channels for the synchronization of otherwise asynchronously running software-defined radios.

2021 ◽  
Zuguang Li ◽  
Wei Wang ◽  
Jia Guo ◽  
Youwen Zhu ◽  
Lu Han ◽  

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