Design and Experimental Evaluation of Equalization Algorithms for Line-of-Sight Spatial Multiplexing at 60 GHz

• Published in: IEEE journal on selected areas in communications Vol. 36; no. 11; pp. 2570 - 2580
• Main Authors: Song, Xiaohang, Halsig, Tim, Cvetkovski, Darko, Rave, Wolfgang, Lankl, Berthold, Grass, Eckhard, Fettweis, Gerhard
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.11.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Antenna arrays; backhaul; Carrier frequencies; channel equalization; Complexity; Complexity theory; Covariance matrices; Equalization; Frame structures; Hardware; Interference; Line of sight; millimeter wave; Millimeter waves; MIMO; MIMO (control systems); MIMO communication; Multiplexing; Offsets; Parallel processing; Signal processing; synchronization; Transceivers; Wireless communication
• ISSN: 0733-8716; 1558-0008
• DOI: 10.1109/JSAC.2018.2872286

With large bandwidths, millimeter wave (mmWave) line-of-sight (LoS) multi-input multi-output (MIMO) technology employing parallel stream transmission is well suited for future wireless backhaul systems. However, hardware imperfections of mmWave transceivers cause additional signal processing challenges. Considering the channel and hardware properties, this paper proposes a novel frame structure with high temporal efficiency. The required MIMO processing can be decomposed into two steps. The first one removes the interantenna interference including the carrier frequency offsets. In the second step, the intersymbol interference brought by the frequency-selective components is canceled with a parallel structure. As a comparison, a more general decision-directed least-mean-square approach (DD-LMS) for joint processing of all effects is introduced. With a 60 GHz <inline-formula> <tex-math notation="LaTeX">2 \times 2 </tex-math></inline-formula> LoS MIMO demonstrator, only the widely linear version of DD-LMS achieves performance of about 0.2-0.6 dB better than the proposed method but requires approximately four times more complexity. The proposed method with parallel processing chains is well suited especially for larger LoS MIMO systems, e.g., for a system with 16 streams, its required complexity is less than 7% of the widely linear DD-LMS.