Performance Analysis Of Wireless Communication Based On Finite Blocklength

The three major application scenarios of 5G include enhanced mobile broadband(e MBB),massive machine type communication(m MTC),and ultra-reliable & low-latency communication(u RLLC).In u RLLC and m MTC,the information is usually transmitted in short packets.The Shannon capacity is not achievable when the transmitted packets are short.In comparison to the Shannon capacity regime,the finite blocklength information theory has been proposed.Therefore,in this paper,spectrum sharing and legitimate proactive information surveillance are investigated at the finite blocklength regime.Firstly,spectrum is always a scarce valuable resource in the development of wireless communication.Spectrum shortage is still a critical obstacle in 5G system.To settle the spectrum shortage problem,the spectrum sharing scheme has been used as a promising solution.In this paper,a spectrum sharing communication system with wireless energy harvesting is investigated at finite blocklength regime.The error probability and average delay of the secondary user(SU)are analyzed.The closed-form approximations for the SU error probability and average delay are derived,as functions of the number of channel uses in its information transfer phrase.Under the error probability constraint of the primary user(PU),the power constraint on the SU is investigated.Meanwhile,the error probability and energy supply constraints on the SU are also explored.The energy supply probability is shown as the harvested energy in each channel use with independent and exponential distribution.The existence of an optimum number of channel uses for SU information transfer is verified.Under the error probability constraint of PU,the SU maximum transmit power is validated to increase with the length of an entire block.Numerical results demonstrate that the approximation is very tight for a wide range of signal-to-noise ratio(SNRs).Next,the internet of things(Io T)will feature pervasive sensing and control capabilities via the massive deployment of machine-type communication devices in order to greatly improve daily life.However,machine-type communications can be illegally used(e.g.,by criminals or terrorists)which is difficult to monitor,and thus presents new security challenges.Legitimate proactive information surveillance can eavesdrop and intervene the suspicious communications in wireless networks.Under the finite blocklength regime,the channel coding rate of the eavesdropping link and the channel coding rate of the suspicious link are analyzed.A result is found that the legitimate monitor can still eavesdrop the information sent by the suspicious transmitter as the blocklength decreases,even when the eavesdropping is failed under the Shannon capacity regime.A metric called the effective eavesdropping rate is defined and its monotonicity is studied.From the analysis of monotonicity,the existence of a maximum effective eavesdropping rate for a moderate or even high signal-to-noise(SNR)is verified.Numerical results are provided and discussed.In the simulation,a result is found that the maximum effective eavesdropping rate slowly increases with the blocklength.The finite blocklength information theory provides a new perspective for many wireless applications,which has important research value.This paper focuses on finite blocklength information theory.Firstly,the performance of the considered spectrum sharing system is analyzed,mainly including the error probability and average delay of SU.Secondly,the performance of the considered legitimate proactive eavesdropping system is analyzed,mainly including channel coding rate,effective monitoring rate.