Suvit Nakpeerayuth

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In this paper, an iterative multiple symbol differential detection (MSDD) for turbo coded differential unitary space-time modulation (DUSTM) is developed by using an a posteriori probability (APP) demodulator under correlated slow and fast Rayleigh flat fading channels. The metric function necessary for the detection operates based on the linear prediction.(More)
In this paper, an iterative multiple symbol differential detection for turbo coded differential unitary space-time modulation using a posteriori probability (APP) demodulator is investigated. Two approaches of different complexity based on linear prediction are presented to utilize the temporal correlation of fading for the APP demodulator. The first(More)
In this paper, Multiple Symbol Differential Detection (MSDD) with iterative decoding (turbo decoding) of code rate 1/2 is developed to work under correlated slow and fast Rayleigh fading channels by using an APP demodulator with two different approaches. The first approach is to increase the number of the trellis states of differential encoders. In the(More)
The primary medium access control (MAC) protocol for wireless local area network (WLAN) is distributed coordination function (DCF) for IEEE 802.11. The binary exponential backoff (BEB) scheme used in 802.11 DCF mechanism may suffer from low throughput when the number of stations gets large due to the lack of flexibility in choosing the contention window(More)
In this paper, we propose a modified backoff mechanism that can be used in conjunction with the existing backoff algorithms for medium access sharing among wireless stations via the CSMA protocol. With a proper design, the resulting scheme can achieve better short-term throughput fairness performance without degradation in the average throughput(More)
This paper presents a frame based contention resolution algorithm that can be systematically applied for random access protocols under different assumption of feedback types which include binary, ternary and known multiplicity feedbacks. We introduce two new algorithms that can effectively utilize feedback information to resolve packet collisions. Based on(More)