* This is the dataset of the accepted paper (Nov, 2016):  Ateeq Ur Rehman,  Lie-liang Yang and L. Hanzo, "Delay and Throughput  Analysis  of Cognitive Go-Back-N HARQ  in the Face of Imperfect Sensing".




* Paper Abstract:
In order to mitigate  spectrum scarcity, the cognitive radio (CR) paradigm has been invoked for improving the overall exploitation  of  the licensed spectrum by identifying and filling the  free spectrum holes without degrading
the transmission of primary  users (PUs). Hence, we conceive a CR communication scheme, which enables a cognitive user (CU) to sense  the activity  of the PUs  over a primary radio (PR) channel, which is exploited to   transmit
data  using the modified Go-Back-N hybrid automatic repeat request (GBN-HARQ) protocol,  when PR channel is free from the  PUs.  This arrangement is termed as the cognitive GBN-HARQ (CGBN-HARQ), where  the activity of PUs on the
PR channel  is modelled as a two-state Markov chain having `ON' and `OFF' states. However, the CU may wrongly detect the `ON'/`OFF' activity of the PUs in the channel, hence resulting in false-alarm or mis-detection. Therefore,
the two-state Markov chain is extended to four states by explicitly considering all the wrong sensing decisions.   In this paper,  we analytically modelled the  CGBN-HARQ scheme   with the aid  of a Discrete Time Markov Chain (DTMC).
Explicitly,  an algorithm is developed for deriving  all the  legitimate states and for eliminating the illegitimate states, which assists us in reducing  both the  dimensionality of the state transition matrix and the associated
computational complexity.  Furthermore, based on  DTMC modelling, we derive   closed-form expressions for evaluating  the throughput, the average packet delay and the end-to-end packet delay of  CGBN-HARQ in realistic imperfect 
sensing environment. The results   are also  validated  by our simulations. Our  performance  results demonstrate that both the achievable throughput and the delay   are significantly affected by the activity of the PUs, 
as well as by  the reliability of the PR channel and   by the number of packets transmitted per TS. To attain  the maximum throughput and/or the minimum transmission delay, the number of packets transmitted within a TS should be
carefully adapted based on the activity  level of the PUs and on the quality of the PR channel. 


* Project:
The financial support of the EPSRC projects EP/Noo4558/1 and EP/L018659/1, as well as of the European Research Council’s Advanced Fellow Grant under the Beam-Me-Up project and of the Royal Society’s Wolfson Research Merit Award is gratefully acknowledged.





* This DOI contains the datasets of Figures 12, 13, 14, 15, 16, 17 and 18 of the aforementioned paper. Each folder is named according to its content, where the dataset of each cruve - of each figure - is stored in a .dat file.
To regenerate the results please use the command "gle Figure_Name.gle" (Graphics Layout Engine -GLE- should be installed on your machine)