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Using simulations we assess the performance of the proposed altruistic and selfish coalition formation solutions in terms of gains in increased average throughput per CR.
We show that the proposed coalition formation solutions yield significant gains in terms of reduced average false alarm probability and increased average throughput per CR as compared to the non-cooperative solutions.
We find that the weighted target detection probability for individual CRs results in increased average throughput per CR as compared to when each CR is assigned the same target detection probability in a coalition.
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While conventional techniques in designing processor architectures increase average throughput, they are not feasible for real-time systems.
Similarly, [132] presents an architecture to improve end user experience by exploiting (i) channel diversity, (ii) wireless network service provider diversity, and (iii) technology diversity (UMTS, CDMA, etc).. Their results shows that the proposed Mobile Access Router architecture decreases the blackout periods considerably and increases average throughput.
In all scenarios, employing SDWN to monitor UEs handover and perform frequency assignment increased the average throughput by approximately 40% when compared with the 3G/4G baseline.
Equation (9) shows that increasing the transmission range R increases the average throughput, because the second term in the brackets diminishes; this is verified by Figure3c.
Increasing P 0 leads to higher P TX (k) for cell-center users, thus increasing average user throughput.
The coalition forming CRs may also increase their average throughput by reducing their sensing time via joint coalitional sensing.
Channel aware and opportunistic scheduling algorithms exploit the channel knowledge and fading to increase the average throughput.
This algorithm reduces the average delay and increases the average throughput, particularly for lower priority classes, by lengthening the size of the service round over WRR.
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