Abstract-Home wireless networks are mainly used for data transmission; however, they are now being used in video delivery applications, such as video on demand or wireless internet protocol (IP) television. Off-the-shelf technologies are inappropriate for the delivery of real-time video. In this paper, a packetization method is presented for robust H.264 video transmission over the IEEE 802.11 wireless local area network (WLAN) configured as a wireless home network. To overcome the poor throughput efficiency of the IEEE 802.11 Medium Access Control (MAC), an aggregation scheme with a recovery mechanism is deployed and evaluated via simulation. The scheme maps several IP packets (each containing a single H.264 video packet called a Network Abstraction Layer (NAL) unit) into a single larger MAC frame. Video robustness is enhanced by using small NAL units and by retrieving possible error-free IP packets from the received MAC frame. The required modifications to the legacy MAC are described. Results in terms of throughput efficiency and peak-signal-to-noise ratio (PSNR) are presented for the case of broadcast and real-time transmission applications. Compared to the legacy case, an 80% improvement in throughput efficiency is achieved for a similar PSNR video performance. For fixed physical layer resources, our system provides a 2.5-dB gain in video performance over the legacy case for a similar throughput efficiency. The proposed solution provides considerable robustness enhancement for video transmission over IEEE 802.11-based WLANs.Index Terms-Medium Access Control (MAC), packetization, peaksignal-to-noise ratio (PSNR), video transmission, wireless local area networks (WLANs).

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Wireless local area networks (WLANs) such as IEEE 802.11a/g utilise numerous transmission modes, each providing different throughputs and reliability levels. Most link adaptation algorithms proposed in the literature (i) maximise the error-free data throughput, (ii) do not take into account the content of the data stream, and (iii) rely strongly on the use of ARQ. Low-latency applications, such as real-time video transmission, do not permit large numbers of retransmission. In this paper, a novel link adaptation scheme is presented that improves the quality of service (QoS) for video transmission. Rather than maximising the error-free throughput, our scheme minimises the video distortion of the received sequence. With the use of simple and local rate distortion measures and end-to-end distortion models at the video encoder, the proposed scheme estimates the received video distortion at the current transmission rate, as well as on the adjacent lower and higher rates. This allows the system to select the link-speed which offers the lowest distortion and to adapt to the channel conditions. Simulation results are presented using the MPEG-4/AVC H.264 video compression standard over IEEE 802.11g. The results show that the proposed system closely follows the optimum theoretic solution.

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This paper proposes a low-complexity sub-pixel refinement to motion estimation based on full-search block matching algorithm (BMA) at integer-pixel accuracy. This algorithm eliminates the need to produce interpolated reference frames, which is may be too memory-and processor-intensive, for some real-time mobile applications. The algorithm assumes the BMA is done at pixel resolution and the (sum-of-absolute-differences) SADs of the candidate motion vector and its neighbouring vectors are available for each block. The proposed method than models the SAD distribution around the candidate motion vector and its neighbouring points. Actual minimum point at sub-pixel resolution is then computed according to the model used. 3 variations of the parabolic model are considered and simulations using the H.263 standard encoder on several test sequences reveal an improvement of 1.0 dB over integeraccuracy motion estimation. Albeit its simplicity, some test cases come close to the results obtained by actual interpolated reference frames.