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Wireless communication applications has acquired a vastly increasing rangeover the past decade. This rapidly increasing demand implies limitations onutilizing wireless resources. One of the most important resources in wirelesscommunication is frequency spectrum. This thesis provides different solutionstowards increasing the spectral efficiency. The first solution provided in thisthesis is to use a more accurate optimization metric: maximal acheivable rate(compared to traditional metric: ergodic capacity) to optimize training datasize in wireless communication. Training data symbols are previously knownsymbols to the receiver inserted in data packets which are used by receiver toacquire channel state information (CSI). Optimizing training data size withrespect to our proposed tight optimization metric, we could achieve higherrates especially for short packet and ultra reliable applications. Our secondproposed solution to increase spectral efficiency is to design a multifunctioncommunication and sensing platform utilizing a special training sequencedesign. We proposed a platform where two training sequences are designed, onefor the base-station and the other for the user. By designing these twotraining sequence such that they are uncorrelated to each other, the basestation will be able to distinguish between the two training sequence. Havingone of the sequences especially designed for radar purposes (by designing itsuch that it has an impulse-like autocorrelation), the system will be able tosense the environment, transmit and receive the communication datasimultaneously.

Efficient Use of Spectral Resources in Wireless Communication Using Training Data Optimization