Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Reliability Analysis of Cognitive Radio Networks with Reserved Spectrum for 6G-IoT
AU - Khan, Abd Ullah
AU - Abbas, Ghulam
AU - Abbas, Ziaul Haq
AU - Bilal, Muhammad
AU - Shah, Sayed Chhattan
AU - Song, Houbing
PY - 2022/9/30
Y1 - 2022/9/30
N2 - Cognitive radio networks (CRNs) can facilitate ultra-reliable communication among IoT devices in the 6G environment by enhancing channel availability (CA) for primary and secondary users. However, CA does not necessarily lead to successful connection establishment unless receiver's accessibility (RA) is guaranteed. This motivates us to propose the notion of connection availability (CoA) that incorporates RA into CA. We also introduce the idea of service maintainability (SM) that includes the effect of RA in service retainability. Additionally, spectrum utilization efficiency (SUE) is expressed and analyzed with and without considering the impact of RA. For performance evaluation, a channel reservation algorithm with customizable configurations is proposed. Furthermore, an analytical model is used to investigate the network performance for all key performance indicators (KPIs) under multiple channel failures and PU arrival rates and determine valuable tradeoffs among KPIs.
AB - Cognitive radio networks (CRNs) can facilitate ultra-reliable communication among IoT devices in the 6G environment by enhancing channel availability (CA) for primary and secondary users. However, CA does not necessarily lead to successful connection establishment unless receiver's accessibility (RA) is guaranteed. This motivates us to propose the notion of connection availability (CoA) that incorporates RA into CA. We also introduce the idea of service maintainability (SM) that includes the effect of RA in service retainability. Additionally, spectrum utilization efficiency (SUE) is expressed and analyzed with and without considering the impact of RA. For performance evaluation, a channel reservation algorithm with customizable configurations is proposed. Furthermore, an analytical model is used to investigate the network performance for all key performance indicators (KPIs) under multiple channel failures and PU arrival rates and determine valuable tradeoffs among KPIs.
KW - 6G
KW - Channel availability
KW - channel reservation
KW - cognitive radio networks
KW - connection availability
KW - key performance indicators
KW - maintainability
KW - retainability
U2 - 10.1109/TNSM.2022.3168669
DO - 10.1109/TNSM.2022.3168669
M3 - Journal article
AN - SCOPUS:85129123692
VL - 19
SP - 2726
EP - 2737
JO - IEEE Transactions on Network and Service Management
JF - IEEE Transactions on Network and Service Management
SN - 1932-4537
IS - 3
ER -