In this work, a fair pairing scheme for Machine Type Devices (MTDs) is proposed with Antenna Selection (AS) for the Non-Orthogonal Multiple Access (NOMA) uplink scenario in massive Machine-to-Machine (M2M) networks. Unlike most of the existing work on NOMA systems where the focus is based mainly on maximizing the total sum rate, the proposed method targets both high throughput and optimal fairness between the scheduled MTDs to ensure that both MTDs enjoy the same high Quality of Service (QoS). At first, the MTD that has the highest channel gain with any antenna at the Base Station (BS) is scheduled alongside selecting the correspondent antenna. Then, the MTD that achieves the highest Signal-to-Interference plus Noise Ratio (SINR) balance with the first MTD is chosen to perform the power domain NOMA. The performance of the proposed scheme is evaluated in terms of the outage probability and average sum rate, and shows a significant gain in terms of throughput and fairness compared to the Random Pairing (RP) method. Moreover, closed-form expressions for the outage probability and the average sum rate are derived in the high Signal-to-Noise Ratio (SNR) regime, and show a close match to Monte-Carlo simulations.