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In this work, we have proposed link adaptation based joint spectrum and powerallocation algorithms for uplink cellular vehicle-to-everything (C-V2X)communication for OFDMA based 5G systems. In C-V2X, vehicle-to-vehicle (V2V)users share radio resources with vehicle-to-infrastructure (V2I) users.Existing works primarily focus on the optimal pairing of V2V and V2I usersunder the assumption that each V2I user needs a single resource block (RB);minimizing any interference through power allocation. In contrast, in thiswork, we have considered that the number of RBs needed by the users is afunction of their channel condition and Quality of Service (QoS) - a methodcalled link adaptation. It is effective in compensating for the incessantchannel quality fluctuations at the high frequencies of operation of 5G.  The first proposed resource allocation scheme of this work greedily allocatesRBs to V2I users using link adaptation and then uses Hungarian algorithm topair V2V with V2I users, while minimizing interference through powerallocation. To reduce the complexity, the second scheme groups RBs intoresource chunks (RCs); then uses Hungarian algorithm twice - first to allocateRCs to V2I users, and then to pair V2I users with V2V users. Extensivesimulations reveal that link adaptation increases the number of satisfied V2Iusers as well as their sum-rate, while also improving QoS of individual users,thereby making it indispensable for C-V2X system. We have also considered thepresence of best-effort users, and the diverse QoS has been provided throughthe multi-numerology frame structure of 5G.

A QoS-Aware Joint Uplink Spectrum and Power Allocation with Link Adaptation for Vehicular Communications in 5G networks