পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| মাল্টিপল-ইনপুট মাল্টিপল-আউটপুট (MIMO)× | সাকসেসিভ ক্যান্সেলেশন ডিকোডিং সহ পোলার কোড× | |
|---|---|---|
| ক্ষেত্র | টেলিযোগাযোগ | টেলিযোগাযোগ |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 1995 | 2009 |
| প্রবর্তক≠ | Telatar, Foschini, and Gans | Erdal Arikan |
| ধরন≠ | spatial multiplexing technique | recursive error-correcting code |
| মৌলিক উৎস≠ | Telatar, I. (1999). Capacity of multi-antenna Gaussian channels. European Transactions on Telecommunications, 10(6), 585-595. DOI ↗ | Arikan, E. (2009). Channel polarization: A method for constructing capacity-achieving codes for symmetric binary-input memoryless channels. IEEE Transactions on Information Theory, 55(7), 3051-3073. DOI ↗ |
| অপর নাম | spatial multiplexing, antenna diversity | channel polarization, recursive codes |
| সম্পর্কিত | 5 | 5 |
| সারসংক্ষেপ≠ | MIMO is a technique that uses multiple transmit and receive antennas to significantly increase channel capacity and reliability. Pioneered theoretically by Telatar (1999) and Foschini & Gans (1998), MIMO exploits multipath propagation—typically a liability in wireless—as an asset by creating independent spatial channels. It is now fundamental to all modern wireless systems including LTE, WiFi-6, and 5G, where it provides both capacity gains through spatial multiplexing and robustness through diversity. | Polar codes, introduced by Erdal Arikan in 2009, are the first constructive family of codes proven to achieve the Shannon capacity of symmetric binary-input memoryless channels. They use recursive construction and successive cancellation decoding, a simple greedy algorithm with theoretical guarantees. Polar codes were adopted in 5G NR for control channel coding and are studied for future 6G systems. Unlike turbo and LDPC codes (which are empirical), polar codes provide rigorous theoretical foundations. |
| ScholarGateডেটাসেট ↗ |
|
|