Asymptotically-Optimal, Fast-Decodable, Full-Diversity STBCs
Lakshmi Prasad Natarajan, B. Sundar Rajan

TL;DR
This paper introduces a new class of full-diversity space-time block codes that are asymptotically optimal, fast-decodable, and have the lowest known ML decoding complexity for multiple transmit antennas and rates above one cspcu.
Contribution
The paper presents a novel construction of full-diversity, asymptotically-optimal, fast-decodable STBCs with minimal ML decoding complexity, including new g-group ML-decodable codes with rates above one cspcu.
Findings
New full-diversity STBCs with minimal ML decoding complexity for N>1 and R>1.
Asymptotically-optimal, full-rate codes for N>5 with lower complexity than existing codes.
First known g-group ML-decodable codes with rates >1 cspcu for g>2.
Abstract
For a family/sequence of STBCs , with increasing number of transmit antennas , with rates complex symbols per channel use (cspcu), the asymptotic normalized rate is defined as . A family of STBCs is said to be asymptotically-good if the asymptotic normalized rate is non-zero, i.e., when the rate scales as a non-zero fraction of the number of transmit antennas, and the family of STBCs is said to be asymptotically-optimal if the asymptotic normalized rate is 1, which is the maximum possible value. In this paper, we construct a new class of full-diversity STBCs that have the least ML decoding complexity among all known codes for any number of transmit antennas and rates cspcu. For a large set of pairs, the new codes have lower ML decoding complexity than the codes already…
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Taxonomy
TopicsCooperative Communication and Network Coding · Coding theory and cryptography · Advanced Wireless Communication Techniques
