sravanikurma

Short packet communication is used to support URLLC.  For a given coding rate,  errors can not be arbitrarily low because of the limited packet size. Hence, error probability is bound for BL and coding rate.  BLER increases as BL decreases ==> latency increases. BLER = no of erroneous blocks/ Total no of blocks. OP  is good for relaying performances. The achievable rate depends on BL and BLER. Channel dispersion: Measuring stochastic variability of the channel as compared to a deterministic channel having equal capacity.

 UAV :  An  unmanned aerial vehicle  ( UAV ), commonly known as a  drone , is an  aircraft  without any human  pilot , crew, or passengers on board. Two important types:  1. Fixed Wing UAV: => No vertical movement. => Moves curvilinear path at a certain height. => Less power consumption. So, we use this in  a Power-limited temporal wireless network. 2. Rotary Wing UAV: => Multiple propellers and can hover over fixed locations. Advantages:  1. Cost-effective. 2. Strong LOS links. 3. Enhances Coverage area. 4. Increases data rate. 5. Flexible deployment. 6. Fully controllable mobility. Disadvantages: 1. Due to High-rise buildings, trees, and objects, UAV-Ground communication gets blocked. 2. Limited service duration. 3. Large path loss. RIS:   Reconfigurable Intelligent Surfaces  is an array of low-cost and passive reflecting elements, each element independently reflects the incident EM waves after adjusting...

Get your IPASS recharge around 500 if you are a student and 1000 if you are not a student. NSYSU TO HAMASEN LRT BY URDA (Charges= 0) LRT TO GUSHAN by Gushan ( Charges= 10 USE IPASS) Gushan to Chiayi (local train )  ( Charges= 140 USE IPASS) Chiayi to Fenqihu pre-booking toy train  ( Charges= 384 PAY BY CASH) In Chiayi, go to the visitor information center, and then u get all the details about Chiayi city tourist places and the Alishan map. So, we got a route map from them and chose the two best spots to visit i.e., Hinoki village and the night market. (Charges = USE IPASS to travel to hinoki and use Ubike to reach the night market nearby Ubike stop.) Night stay: We have FRIENDS IN CHIAYI.   Train to Fenqihu: On the next day morning, we caught the toy train at 9am. Then bus to the Alishan forest recreation area. Go to the visitor information center and get a map for guidance. Then pick one way or two ways based on your timings availability and go on a walk. ...

 Hello everyone,  Here is the whole process to proceed with the travel and registration to attend the conference in any country. I would like to explain the details of our travel to Scotland from Taiwan for WCNC 2022. We received the acceptance of our paper on Dec 10th, 2022. We are informed to attend the conference which is scheduled for 4 days i.e., 26-29 MARCH 2023. HERE WE GO WITH THE PROCESS             Step 1: IEEE MEMBERSHIP        Based on the category under which you want to apply, you select the membership and apply.  If you already have one, check the expiry date. I already have one but it got expired just a few days before I  was supposed to get registered for the conference.   Note: Don't forget to apply the promo code when you apply for IEEE membership. I got 50% discount on the membership renewal purchase.     1. Once you are done getting your membership, you have to get registe...

  Costumers are grouped based on their purchasing hobbies to make separate market strategy for each group.   Feature selection is the selection of a subset of the original variable.  Feature extraction is the projection of the original variable into a new variable usually the smaller set of variables. The agents learn or perceive the information by interacting with the environment and select the decision based on the information and receive a reward which is a numerical value that the agent aims at maximizing over time.  ---> Learns step-by-step trail method A reinforcement-learning agent learns by trial and error, just as animals and humans do when  they learn to walk, talk, drive, cook, etc. Reinforcement learning finds application in many  real-world problems, such as digital advertising, resource management, medicine, autonomous driving,  automatic trading, and many others. In the next lectures, we will cover these three  categories of mach...