دورية أكاديمية

Optimal Power Allocation for PSM-OFDM Systems With Imperfect Channel Estimation

التفاصيل البيبلوغرافية
العنوان: Optimal Power Allocation for PSM-OFDM Systems With Imperfect Channel Estimation
المؤلفون: You Li, Yashan Pang, Wanbin Tang, Xia Lei, Yue Xiao
المصدر: IEEE Access, Vol 6, Pp 18994-19006 (2018)
بيانات النشر: IEEE, 2018.
سنة النشر: 2018
المجموعة: LCC:Electrical engineering. Electronics. Nuclear engineering
مصطلحات موضوعية: Precoding aided spatial modulation (PSM), orthogonal frequency division multiplex (OFDM), power allocation (PA), multiple input multiple output (MIMO), Electrical engineering. Electronics. Nuclear engineering, TK1-9971
الوصف: Precoding aided spatial modulation (PSM) constitutes a flexible closed-loop multiple input multiple output transmission scheme, which benefits from both low cost and low complexity at the receiver side. In PSM, a single receive antenna is activated and a number of bits are conveyed by the index of the receiving antenna, in addition to the bits conveyed by a conventional amplitude-phase modulation symbol. In this paper, bit error rate (BER) of the PSM orthogonal frequency division multiplex (PSM-OFDM) system is investigated and the optimal power allocation between the data and the pilot symbols by minimizing the upper bound for the BER with imperfect channel estimation is derived. Furthermore, we prove that the proposed optimal power allocation scheme can be applied to all generalized linear interpolation techniques with the minimum mean square error channel estimation. Simulation results demonstrate that the proposed optimal power allocation scheme provides significant improvements in terms of the average BER performance for the PSM-OFDM system compared with its equal-power-allocation counterpart.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2169-3536
Relation: https://ieeexplore.ieee.org/document/8323140/; https://doaj.org/toc/2169-3536
DOI: 10.1109/ACCESS.2018.2818940
URL الوصول: https://doaj.org/article/e56633277d16424eb04e6f1bfc0024a3
رقم الأكسشن: edsdoj.56633277d16424eb04e6f1bfc0024a3
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:21693536
DOI:10.1109/ACCESS.2018.2818940