The two methods offer a tradeoff between the symbol error rate (SER) performance and design complexity.
The services may have differing quality of service (QoS) requirements, quantified by bit rate and symbol error rate specifications.
For instance, if the characteristics of a curve are changed several times, only the final color, symbol, error style etc. are recorded by make_script.
Besides, to improve the symbol error rate (SER) performance of the system, we design the constellations by maximizing the minimum Euclidean distance among all constellation pairs.
We employ adaptive modulation according to the channel state information (CSI) of each user to meet the symbol error rate (SER) requirement.
We found that the MMSE PDFE may have lower computational complexity and achieve a better symbol error rate performance than the existing MMSE CDFE.
In this study, we use the end-to-end (e2e) outage probability, average symbol error probability (ASEP), and ergodic channel capacity as the performance metrics in our analysis.
We also suggest two possible configurations for the receiver architecture that, combined with the proposed SMC technique, guarantee the achievement of asymptotically minimal symbol error rate (SER).
symbol error probability.
