scholarly journals Investigation of Radio Frequency Licensed Spectrum Utilization in Nigeria: A Study of Rumuokwuta, Port Harcourt, Nigeria

2021 ◽  
Vol 13 (05) ◽  
pp. 31-41
Author(s):  
Nkwachukwu Chukwuchekwa ◽  
Enwume Joshua U ◽  
Longinus S. Ezema ◽  
Cosmas K Agubor

This study was carried out to investigate the spectrum utilization of the licensed Radio Frequency (RF) spectrum in Rumuokwuta, Port Harcourt. An outdoor measurement of spectrum occupancy was carried out in a high-rise building situated at Rumuokwuta urban area in Port Harcourt, Nigeria using RF explorer spectrum analyzer and a personal computer laptop system. Spectrum activities in the band of 240-960 MHz were monitored for 24 hours. The frequency band was subdivided into 24 sub bands each with a span size of 30 MHz. Scanning of bands was made efficient using a python script that scans a range, analyzed the frequencies and signal strengths for 112 data points, saves data in CSV file format, scans the next range until the 24 ranges were scanned. The process was repeated to achieve 15 iterations. With a noise floor of - 110dBm, a threshold of -95dBm was used to determine the presence of signal, hence the spectrum occupancy of measured bands. Results showed that out of the 24 investigated sub bands; only one band was completely occupied with spectrum occupancy of 100%. 12 bands were partially occupied while 11 were completely free. The average spectrum occupancy for the whole band was obtained as 11.64%. This showed good location for dynamic spectrum access and cognitive radio deployment, especially in Television White Space (TVWS).

2018 ◽  
Vol 7 (3.3) ◽  
pp. 231
Author(s):  
Meena M ◽  
Monish M ◽  
Sharanya C ◽  
Dr V Rajendran

It’s well inferred that the MAC layer technique on wireless network is well established and many scientists elaborately worked on this technique till the updated 5G technology. However, the present study clearly says on spectrum-based parameters are becoming very popular and cognitive defined systems are found to be near best solution for many communication network applications. Hence this paper provides to develop an algorithm and policy engine makes a details model and study on dynamic spectrum access in cognitive system using continuous time Markov chain process. The detailed and outcome of results clearly shows a 96% of efficiency on the spectrum dynamics which came from our unique proposed model.  


2008 ◽  
Vol 2 (6) ◽  
pp. 772 ◽  
Author(s):  
M. Wellens ◽  
A. de Baynast ◽  
P. Mähönen

Author(s):  
Hamid Eltom ◽  
Sithamparanathan Kandeepan ◽  
Robin J. Evans ◽  
Ying Chang Liang ◽  
Branko Ristic

Author(s):  
Menglong Li ◽  
Kai Shi ◽  
Sheng Lin ◽  
Jinsong Wang ◽  
Chunyan Hou ◽  
...  

Dynamic Spectrum Access (DSA) network grows rapidly in recent years. It is proposed to solve the problem of reasonable utilization of wireless spectrum resources. DSA is a new spectrum sharing paradigm which takes advantage of spectrum holes to ease the spectrum shortage problem and improve the spectrum utilization. However, due to the frequent spectrum switch, the performance of TCP will degrade greatly in the DSA network, and thus the channel is unutilized. To tackle with this problem and improve high throughput performance, this paper proposes a protocol called TCP WSP based on the assumption that there will be a Wide Stationary Process (WSP) between two spectrum switches. Then the authors propose a mechanism to predict the spectrum switch and adjust the sending rate of TCP based on the prediction to optimize channel utilization in DSA networks. They implement our mechanism on NS2 simulator, and the results show that their mechanism can achieve high throughput performance.


2021 ◽  
Vol 11 (4) ◽  
pp. 1884
Author(s):  
Shuai Liu ◽  
Jing He ◽  
Jiayun Wu

Dynamic spectrum access (DSA) has been considered as a promising technology to address spectrum scarcity and improve spectrum utilization. Normally, the channels are related to each other. Meanwhile, collisions will be inevitably caused by communicating between multiple PUs or multiple SUs in a real DSA environment. Considering these factors, the deep multi-user reinforcement learning (DMRL) is proposed by introducing the cooperative strategy into dueling deep Q network (DDQN). With no demand of prior information about the system dynamics, DDQN can efficiently learn the correlations between channels, and reduce the computational complexity in the large state space of the multi-user environment. To reduce the conflicts and further maximize the network utility, cooperative channel strategy is explored by utilizing the acknowledge (ACK) signals without exchanging spectrum information. In each time slot, each user selects a channel and transmits a packet with a certain probability. After sending, ACK signals are utilized to judge whether the transmission is successful or not. Compared with other popular models, the simulation results show that the proposed DMRL can achieve better performance on effectively enhancing spectrum utilization and reducing conflict rate in the dynamic cooperative spectrum sensing.


2015 ◽  
Vol 727-728 ◽  
pp. 920-922
Author(s):  
Hao Wang ◽  
Sha Sha

Wireless resource management is one of the key techniques in cognitive radio networks, which attracts great research attention, international cooperation project and other fundings. The dissertation contains valuable work on both theories and applications.A novel method using bipartite graph matching is proposed to realize the dynamic spectrum access. An idealized method and an operative method are presented respectively based on the famous Kuhn-Munkre algorithm. Experimental results show that proposed algorithms dramatically maximize the spectrum utilization and reduce allocation conflictions among users.


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