Study of Channel Capacity Optimization of Discrete Channel Based on Normalized Tangent Function

• Published in: Wireless communications and mobile computing 2022-10, Vol.2022, p.1-6
• Main Authors: Shao, Junhua, Li, Qiang, Tan, Junmei
• Format: Article
• Language: English
• Subjects: Antennas; Bandwidths; Channel capacity; Communications systems; Optimization; Probability; Probability distribution; Signal processing; Signal to noise ratio; Wireless communications
• ISSN: 1530-8669; 1530-8677
• DOI: 10.1155/2022/8953833

Channel capacity is the rate limit of information transmission; many researchers strive to find the maximum channel transmission rate while balancing the performance of the whole communication system and making it close to the channel capacity. We know in the discrete channel that, when the BER of the system is small enough, the transmission rate of the channel will be extremely close to the channel capacity. According to Shannon theory, the common way to increase the channel capacity is to increase the system bandwidth and the input signal power. However, the bandwidth resources are extremely limited, so it is impractical to expand the system bandwidth, and at the same time, increasing the input signal power is impractical as well, because it will reduce the economy of the communication system. In this paper, we proposed a normalized tangent function (NorTF) which can optimize the discrete channel probability distribution, reduce the BER of the channel, and improve the channel capacity of the discrete channel, which need not expand bandwidth and increase the signal input power of the system. Through theoretical analysis and experimental verification of this method, we found that the channel capacity of the improved system was indeed much higher than that of the preimproved system, so the method proposed in this paper has some theoretical guiding significance and is feasible.