A joint semantic-noise coding (JSNC) mechanism

Mod­ern com­mu­ni­ca­tions are usu­al­ly designed to pur­sue a high­er bit-lev­el pre­ci­sion and few­er bits while trans­mit­ting a mes­sage. This arti­cle rethinks these two major fea­tures and intro­duces the con­cept and advan­tage of seman­tics that char­ac­ter­izes a new kind of seman­tics-aware com­mu­ni­ca­tion frame­work, incor­po­rat­ing both the seman­tic encod­ing and the seman­tic com­mu­ni­ca­tion prob­lem. After ana­lyz­ing the under­ly­ing defects of exist­ing seman­tics-aware tech­niques, we estab­lish a con­fi­dence-based dis­til­la­tion mech­a­nism for the joint seman­tics-noise cod­ing (JSNC) prob­lem and a rein­force­ment learn­ing (RL)-powered seman­tic com­mu­ni­ca­tion par­a­digm that endows a sys­tem the abil­i­ty to con­vey the seman­tics instead of pur­su­ing the bit lev­el accu­ra­cy. On top of these tech­ni­cal con­tri­bu­tions, this work pro­vides a new insight to under­stand how the seman­tics are processed and rep­re­sent­ed in a seman­tics-aware cod­ing and com­mu­ni­ca­tion sys­tem, and ver­i­fies the sig­nif­i­cant ben­e­fits of doing so. Tar­get­ed on the next gen­er­a­tion’s seman­tics-aware com­mu­ni­ca­tion, some crit­i­cal con­cerns and open chal­lenges such as the infor­ma­tion over­head, seman­tic secu­ri­ty and imple­men­ta­tion cost are also dis­cussed and envi­sioned.

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A joint seman­tic-noise cod­ing (JSNC) mech­a­nism