Title :
On the peak to average power reduction of OFDM signals using reserved subcarriers
Author :
Entekhabi, A. Hossein ; Sharif, Masoud ; Tarokh, Vahid
Author_Institution :
Sch. of Electr. & Comput. Eng., Boston Univ., Boston, MA
Abstract :
Orthogonal frequency division multiplexing (OFDM) is an attractive technique for high data rate transmissions in wireless and wireline systems. However OFDM signals suffer from high peak-to-mean envelope power (PMEPR). In this paper we consider the problem of reducing this high PMEPR using reserved peak reduction subcarriers as considered by Tellado and Cioffi. We analyze the fundamental tradeoff between PMEPR reduction and the rate loss due to reserved subcarriers. We first provide a lower bound on the complementary cumulative distribution of PMEPR using infinitely many reserved subcarriers. We then show that the problem of minimizing the maximum of the absolute value of the signal using reserved subcarriers can be stated as a convex linear matrix inequality problem. While the problem is proved to be convex, its complexity is cubic in the number of OFDM subcarriers n which can be prohibitive when n is large. We then propose a suboptimal greedy algorithm based on p-norm minimization that chooses only bipolar values for each subcarrier that has less complexity and more PMEPR reduction than the previously proposed algorithm in. Our results provide the best tradeoff possible between PMEPR reduction and the associated rate loss and also leads to a practical algorithm to approach those limits.
Keywords :
OFDM modulation; greedy algorithms; linear matrix inequalities; radiocommunication; OFDM signals; complementary cumulative distribution; convex linear matrix inequality problem; high data rate transmissions; high peak-to-mean envelope power; orthogonal frequency division multiplexing; p-norm minimization; peak to average power reduction; reserved peak reduction subcarriers; suboptimal greedy algorithm; wireless system; wireline systems; Baseband; Bit error rate; Data engineering; Greedy algorithms; Linear matrix inequalities; Minimization methods; OFDM; Peak to average power ratio; Power engineering and energy; Power engineering computing;
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 2008. PIMRC 2008. IEEE 19th International Symposium on
Conference_Location :
Cannes
Print_ISBN :
978-1-4244-2643-0
Electronic_ISBN :
978-1-4244-2644-7
DOI :
10.1109/PIMRC.2008.4699707