as massive MIMO to transmit configurable signals with custom power and beamwidth management. These technologies will allow the system to manage interference and frequency reuse more efficiently. However, these techniques will lower the coverage area with narrower beamwidth and lower transmission power. This smaller coverage area will be more challenging to sustain the mobile LDM pair. Ideally, we want our LDM pair to be within the coverage area for the duration of the entire data transmission to minimize the 9 Feasibility of LDM to Serve User-IoT Pairs in the Future Wireless Network effort needed to form new IoT-user pair. Therefore, there is a trade-off between the transmission beam width and power and the optimum coverage area for a different receiver mobility group. 9.6.1 IoT and User Mobility As shown in Fig. 9.4, the IoT devices are assumed to be distributed randomly over the entire transmission, and the initial beam is directed at the user location; hence, it is at a zero degree angle with the transmission beam. The IoT devices can start with any random angle O2i with transmission direction. Figure 9.4 shows the mobility of IoT and user devices from an initial position to a final position. The base station (BS) is assumed to be located at position (xb, yb). The initial IoT and user location is assumed to be at (x1, y1). Then the initial distance Linitial can be calculated using d=v(s) (9.15) The transmission is assumed to be directed at the user's initial position. There- fore, the user is initially located on the x-axis, as shown in Fig. 9.4. The distance between the user's initial position and the base station is the same as the X values of the user's initial coordinates. The initial angle between IoT device and BS O2i can be calculated as (9.16) If the device moves at a random speed V for a time t to reach its final position, then the distance between IoT's initial and final position d can be written as !=vt. (9.17) UE (Final Postion) Final loT (Final Postion) Initial UE (Initial Postion) loT (Initial Po