Parameter Optimization for Amplify-and-Forward Relaying Systems with Pilot Symbol Assisted Modulation Scheme
نویسندگان
چکیده
Cooperative diversity is a promising technology for future wireless networks. In this paper, we consider a cooperative communication system operating in an amplify-and-forward (AF) mode with a pilot symbol assisted modulation (PSAM) scheme. It is assumed that a linear minimum mean square estimator (LMMSE) is used for the channel estimation at the receiver. A simple and easy-to-evaluate asymptotical upper bound (AUB) of the symbol-error-rate (SER) is derived for uncoded AF cooperative communication systems with quadrature amplitude modulation (QAM) constellations. Based on the AUB, we propose a criterion for the parameter optimization in the PSAM scheme. We discuss how the pilot spacing and the length of the Wiener filter should be chosen under the constraint of a tradeoff between pilot overhead, estimation accuracy, and receiver complexity. We also formulate an power allocation problem for the considered system. It is shown that the power allocation problem can optimally be solved by means of a gradient search method. Numerical simulations are presented to verify the correctness of the theoretical results and to demonstrate the benefits of the parameter optimization.
منابع مشابه
Performance Analysis of cooperative SWIPT System: Intelligent Reflecting Surface versus Decode-and-Forward
In this paper, we explore the impacts of utilizing intelligent reflecting surfaces (IRS) in a power-splitting based simultaneous wireless information and power transfer (PS-SWIPT) system and compare its performance with the traditional decode and forward relaying system. To analyze a more practical system, it is also assumed that the receiving nodes are subject to decoding cost, and they are on...
متن کاملPerformance Analysis of Amplify-and-Forward Cooperative Networks in Non-Identically Distributed Nakagami-m Channels with Best Relaying Selection
—This paper investigates the performance, analysis of amplify and forward (AF) cooperative networks with the best relay selection in independent and non-identical Nakagami-m channels and M-ary phase shift keying (MPSK) modulations. New closed form expressions are derived of the analytical upper bound, cumulative density function (CDF), probability density function (PDF), moment generating func...
متن کاملAmplify-and-Forward Relaying with Ring-TCM Codes
This paper proposes the Ring-TCM coded Amplifyand-Forward (AF) cooperative system, achieving both high spectral efficiency and optimized performance. In a cooperative communication network, individual users are encouraged not only to transmit their own data, but also relay other user’s data. This relaying transmission creates spatial diversity to combat the effect of individual severe fading an...
متن کاملPerformance Analysis for the Amplify-and-Forward Two-Way Cooperative Relaying Networks
In this letter, we analyze the amplify-and-forward (AF) two-way cooperative relaying scheme with regard to the average data transmission rate and the symbol error probability. By investigating the Moment-Generating function (MGF) and the k-th moment of “extraharmonic” mean of two variables, we derive an exact closed-form expression for the symbol error probability (SEP) and the approximate aver...
متن کاملOptimal Power Management to Minimize SER in Amplify and-Forward Relay Networks
This paper studies optimal power allocation to minimize symbol error rate (SER) of amplify-and-forward cooperative diversity networks. First, we analytically solve optimal power allocation problem to minimize SER for three different scenarios, namely, multi-branch single-relay, single-branch multi-relay and multi-branch multi-relay cooperative diversity networks, all subject to a given total re...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Wireless Sensor Network
دوره 1 شماره
صفحات -
تاریخ انتشار 2009